Paper Digest: COVID-19 Related Papers (Computer Science)
In response to the COVID-19 pandemic, Paper Digest Team extracted all COVID-19 papers on our radar, and generated highlight sentences for them. These results are grouped by topics, and sorted by relevance & date.
The article you are reading is on COVID-19 related papers under the topic of “Computer Science”. In addition to this ‘static’ page, we also provide a real-time version of this article, which has more coverage and is updated in real time. If you like to read more, we encourage you to check out COVID-19 related papers under the other topics. Readers may also like to review the list of recent patents on COVID-19, which contains hundreds of patents on this topic.
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TABLE 1: Paper Digest: COVID-19 Related Papers (Computer Science)
| Paper | Author(s) | Source | Date | |
|---|---|---|---|---|
| 1 | Exploring A Hybrid Deep Learning Framework to Automatically Discover Topic and Sentiment in COVID-19 Tweets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new \textit{framework} for analyzing topic-based sentiments by extracting key topics with significant labels and classifying positive, negative, or neutral tweets on each topic to quickly find common topics of public opinion and COVID-19-related attitudes. |
Khandaker Tayef Shahriar; Iqbal H. Sarker; | arxiv-cs.LG | 2023-12-02 |
| 2 | COVID-19 Vaccine Misinformation in Middle Income Countries Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a multilingual dataset of COVID-19 vaccine misinformation, consisting of annotated tweets from three middle-income countries: Brazil, Indonesia, and Nigeria. |
JONGIN KIM et. al. | arxiv-cs.CL | 2023-11-29 |
| 3 | Epidemic Modeling and Flattening The Infection Curve in Social Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The main goal of this paper is to model the epidemic and flattening the infection curve of the social networks. |
MOHAMMADREZA DOOSTMOHAMMADIAN et. al. | arxiv-cs.SI | 2023-11-26 |
| 4 | Infectious Disease Surveillance Needs for The United States: Lessons from COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we discuss requirements for an effective surveillance system to support decision making during a pandemic, drawing on the lessons of COVID-19 in the U.S., while looking to jurisdictions in the U.S. and beyond to learn lessons about the value of specific data types. In this report, we define the range of decisions for which surveillance data are required, the data elements needed to inform these decisions and to calibrate inputs and outputs of transmission-dynamic models, and the types of data needed to inform decisions by state, territorial, local, and tribal health authorities. |
MARC LIPSITCH et. al. | arxiv-cs.CY | 2023-11-22 |
| 5 | Unveiling Public Perceptions: Machine Learning-Based Sentiment Analysis of COVID-19 Vaccines in India Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study employs data mining techniques to analyze Reddit data and gauge Indian sentiments towards COVID-19 vaccines. |
Milind Gupta; Abhishek Kaushik; | arxiv-cs.CL | 2023-11-19 |
| 6 | A Comparative Analysis of The COVID-19 Infodemic in English and Chinese: Insights from Social Media Textual Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a comparative analysis of the COVID-19 infodemic in the English and Chinese languages, utilizing textual data extracted from social media platforms. |
Jia Luo; Daiyun Peng; Lei Shi; Didier El Baz; Xinran Liu; | arxiv-cs.SI | 2023-11-14 |
| 7 | Data and Models for Stance and Premise Detection in COVID-19 Tweets: Insights from The Social Media Mining for Health (SMM4H) 2022 Shared Task Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we extend the previous work and present newly collected data on vaccination from Twitter to assess the performance of models on a different topic. |
Vera Davydova; Huabin Yang; Elena Tutubalina; | arxiv-cs.CL | 2023-11-14 |
| 8 | Dynamics of Toxic Behavior in The Covid-19 Vaccination Debate Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study the behavior of users on Online Social Networks in the context of Covid-19 vaccines in Italy. |
Azza Bouleimen; Nicolò Pagan; Stefano Cresci; Aleksandra Urman; Silvia Giordano; | arxiv-cs.SI | 2023-11-11 |
| 9 | Transfer Learning to Detect COVID-19 Coughs with Incremental Addition of Patient Coughs to Healthy People’s Cough Detection Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present an incremental transfer learning approach that leverages the relationship between healthy peoples’ coughs and COVID-19 patients’ coughs to detect COVID-19 coughs with reasonable accuracy using a pre-trained healthy cough detection model and a relatively small set of patient coughs, reducing the need for large patient dataset to train the model. |
Sudip Vhaduri; Seungyeon Paik; Jessica E Huber; | arxiv-cs.SD | 2023-11-11 |
| 10 | An Interpretable Machine Learning Framework to Understand Bikeshare Demand Before and During The COVID-19 Pandemic in New York City Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on the relative importance of the explanatory variables considered in this study, share of female users and hour of day were the two most important explanatory variables in both models. |
Majbah Uddin; Ho-Ling Hwang; Md Sami Hasnine; | arxiv-cs.LG | 2023-11-10 |
| 11 | Thriving in A Pandemic: Lessons Learned from A Resilient University Program Seen Through The CoI Lens Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To understand the impact of COVID-19 on students’ expectations, this study conducted a three-year survey from ten core courses within the Project Management Center for Excellence at the University of Maryland. |
Zihui Ma; Lingyao Li; John C. E. Johnson; | arxiv-cs.CY | 2023-10-31 |
| 12 | Fuzzy Multi-Agent Simulation of COVID-19 Pandemic Spreading Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a new approach for Covid-19 Pandemic spreading simulation based on fuzzy multi agents. |
Didier El Baz; Andrei Doncescu; | arxiv-cs.MA | 2023-10-27 |
| 13 | GPT-4 Vision on Medical Image Classification — A Case Study on COVID-19 Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This technical report delves into the application of GPT-4 Vision (GPT-4V) in the nuanced realm of COVID-19 image classification, leveraging the transformative potential of … |
RUIBO CHEN et. al. | arxiv-cs.CV | 2023-10-27 |
| 14 | Learning COVID-19 Regional Transmission Using Universal Differential Equations in A SIR Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose using Universal Differential Equations (UDEs) to capture the influence of neighboring regions and improve the model’s predictions in a combined SIR+UDE model. |
Adrian Rojas-Campos; Lukas Stelz; Pascal Nieters; | arxiv-cs.LG | 2023-10-25 |
| 15 | Towards Large-scale Masked Face Recognition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we will present our \textbf{championship} solutions in ICCV MFR WebFace260M and InsightFace unconstrained tracks. |
MANYUAN ZHANG et. al. | arxiv-cs.CV | 2023-10-25 |
| 16 | Attention-Based Ensemble Pooling for Time Series Forecasting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a method for pooling that performs a weighted average over candidate model forecasts, where the weights are learned by an attention-based ensemble pooling model. |
Dhruvit Patel; Alexander Wikner; | arxiv-cs.LG | 2023-10-24 |
| 17 | My Lockdown Escape: Sparking Self-Empathy in The Context of The Covid-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this article, we propose a hybrid, gamified, story-driven data collection approach to spark self-empathy, hence resurfacing people’s past feelings. |
Andrea Tocchetti; Silvia Maria Talenti; Marco Brambilla; | arxiv-cs.HC | 2023-10-23 |
| 18 | Generative Pre-trained Transformer for Vietnamese Community-based COVID-19 Question Answering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel approach by conducting a comparative analysis of different Transformers vs SOTA models in the community-based COVID-19 question answering dataset. |
Tam Minh Vo; Khiem Vinh Tran; | arxiv-cs.CL | 2023-10-23 |
| 19 | Predicting COVID-19 Infections Using Multi-layer Centrality Measures in Population-scale Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Understanding the spread of SARS-CoV-2 has been one of the most pressing problems of the recent past. Network models present a potent approach to studying such spreading phenomena because of their ability to represent complex social interactions. |
Christine Hedde-von Westernhagen; Javier Garcia-Bernardo; Ayoub Bagheri; | arxiv-cs.SI | 2023-10-23 |
| 20 | COVIDFakeExplainer: An Explainable Machine Learning Based Web Application for Detecting COVID-19 Fake News Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a practical end-to-end solution, highlighting the feasibility of constructing a holistic system for fake news detection, which can significantly benefit society. |
Dylan Warman; Muhammad Ashad Kabir; | arxiv-cs.SI | 2023-10-20 |
| 21 | Investigating Emotions, Social Roles, Well-being and Mobile Usage Behaviors During COVID-19 Home Confinement Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we conducted an in-situ study with 32 participants living in states affected by COVID-19 lockdowns for three weeks. |
NAN GAO et. al. | arxiv-cs.HC | 2023-10-20 |
| 22 | Cross-Platform Social Dynamics: An Analysis of ChatGPT and COVID-19 Vaccine Conversations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We employed topic modeling techniques to uncover the distinct thematic emphases on each platform, which reflect their specific features and target audiences. |
SHAYAN ALIPOUR et. al. | arxiv-cs.CY | 2023-10-17 |
| 23 | Understanding The Humans Behind Online Misinformation: An Observational Study Through The Lens of The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Considerable efforts have focused on building misinformation detection models, still the perils of misinformation remain abound. |
Mohit Chandra; Anush Mattapalli; Munmun De Choudhury; | arxiv-cs.CL | 2023-10-12 |
| 24 | Harmful Conspiracies in Temporal Interaction Networks: Understanding The Dynamics of Digital Wildfires Through Phase Transitions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study the spread of content related to a conspiracy theory with harmful consequences, a so-called digital wildfire. |
KASPARA SKOVLI GÅSVÆR et. al. | arxiv-cs.SI | 2023-10-09 |
| 25 | Written and Spoken Corpus of Real and Fake Social Media Postings About COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study investigates the linguistic traits of fake news and real news. |
NG BEE CHIN et. al. | arxiv-cs.CL | 2023-10-06 |
| 26 | Searching COVID-19 Clinical Research Using Graphical Abstracts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Materials and methods. We consider the COVID-19 Open Research Dataset (CORD-19), a corpus of more than one million abstracts; each of them is described as a graph of co-occurring ontological terms, selected from the Unified Medical Language System (UMLS) and the Ontology of Coronavirus Infectious Disease (CIDO). |
Francesco Invernici; Anna Bernasconi; Stefano Ceri; | arxiv-cs.IR | 2023-10-06 |
| 27 | Exploring The Evolution of Research Topics During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we present the CORD-19 Topic Visualizer (CORToViz), a method and associated visualization tool for inspecting the CORD-19 textual corpus of scientific abstracts. |
Francesco Invernici; Anna Bernasconi; Stefano Ceri; | arxiv-cs.CL | 2023-10-05 |
| 28 | Comparing Time-Series Analysis Approaches Utilized in Research Papers to Forecast COVID-19 Cases in Africa: A Literature Review Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This literature review aimed to compare various time-series analysis approaches utilized in forecasting COVID-19 cases in Africa. |
Ali Ebadi; Ebrahim Sahafizadeh; | arxiv-cs.LG | 2023-10-05 |
| 29 | Non-coresident Family As A Driver of Migration Change in A Crisis: The Case of The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Changes in U.S. migration trends during the COVID-19 pandemic show that many moved to less populated cities from larger cities, deviating from previous trends. In this study, building on prior work in the literature showing that the abundance of family ties are inversely related to population size, we analyze these migration changes with a focus on the crucial, yet overlooked factor of extended family. |
Unchitta Kan; Jericho McLeod; Eduardo López; | arxiv-cs.SI | 2023-10-04 |
| 30 | The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights Into Spinal Cord Stimulation Patients Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work highlights the opportunities afforded by applying modern analytic techniques to more holistic and longitudinal patient outcomes, which might aid clinicians in making more informed treatment decisions in the future. |
SARA BERGER et. al. | arxiv-cs.CE | 2023-10-02 |
| 31 | Does Explanation Matter? An Exploratory Study on The Effects of Covid 19 Misinformation Warning Flags on Social Media Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate whether adding specific explanations from fact checking websites enhances trust in these flags. |
Dipto Barman; Owen Conlan; | arxiv-cs.HC | 2023-09-28 |
| 32 | Using Weak Supervision and Data Augmentation in Question Answering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore the roles weak supervision and data augmentation play in training deep neural network QA models. |
Chumki Basu; Himanshu Garg; Allen McIntosh; Sezai Sablak; John R. Wullert II; | arxiv-cs.CL | 2023-09-28 |
| 33 | Identifying Risk Factors for Post-COVID-19 Mental Health Disorders: A Machine Learning Perspective Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we leveraged machine learning techniques to identify risk factors associated with post-COVID-19 mental health disorders. |
Maitham G. Yousif; Fadhil G. Al-Amran; Hector J. Castro; | arxiv-cs.LG | 2023-09-27 |
| 34 | Predicting Cardiovascular Complications in Post-COVID-19 Patients Using Data-Driven Machine Learning Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The COVID-19 pandemic has globally posed numerous health challenges, notably the emergence of post-COVID-19 cardiovascular complications. This study addresses this by utilizing data-driven machine learning models to predict such complications in 352 post-COVID-19 patients from Iraq. |
Maitham G. Yousif; Hector J. Castro; | arxiv-cs.LG | 2023-09-27 |
| 35 | Post-COVID Highlights: Challenges and Solutions of AI Techniques for Swift Identification of COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By doing so, we aim to prepare the AI community for the development of AI tools tailored to address public health emergencies effectively. |
Yingying Fang; Xiaodan Xing; Shiyi Wang; Simon Walsh; Guang Yang; | arxiv-cs.CY | 2023-09-24 |
| 36 | Development of An Intelligent System for The Detection of Corona Virus Using Artificial Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the development of an intelligent system for the detection of coronavirus using artificial neural network. |
Nwafor Emmanuel O; Ngozi Maryrose Umeh; Ikechukwu Ekene Onyenwe; | arxiv-cs.LG | 2023-09-24 |
| 37 | A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the limited availability of data and the highly dynamic and uncertain nature of the virus transmissibility makes this task very challenging. Aiming at investigating these challenges and in order to address this problem, this work studies data-driven (learning, statistical) methods for incrementally training models to adapt to these nonstationary conditions. |
Charithea Stylianides; Kleanthis Malialis; Panayiotis Kolios; | arxiv-cs.LG | 2023-09-18 |
| 38 | Measuring COVID-19 Related Media Consumption on Twitter Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this thesis, we specifically investigate the online consumption of media outlets on Twitter through a set of quantitative analyses. |
Cai Yang; | arxiv-cs.SI | 2023-09-16 |
| 39 | Has Sentiment Returned to The Pre-pandemic Level? A Sentiment Analysis Using U.S. College Subreddit Data from 2019 to 2022 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This study aims to explore how people’s emotions have changed from the pre-pandemic during the pandemic to post-emergency period and whether it has returned to pre-pandemic level. |
Tian Yan; Fang Liu; | arxiv-cs.CL | 2023-09-15 |
| 40 | Long-term Neurological Sequelae in Post-COVID-19 Patients: A Machine Learning Approach to Predict Outcomes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic has brought to light a concerning aspect of long-term neurological complications in post-recovery patients. This study delved into the investigation of such … |
H. ALBAQER et. al. | ArXiv | 2023-09-15 |
| 41 | The Effect of Smoothing on The Interpretation of Time Series Data: A COVID-19 Case Study Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We conduct a controlled crowd-sourced experiment of COVID-19 case data visualization to study if and how different plotting methods, time windows, and the nature of the data influence people’s interpretation of real-world COVID-19 data and people’s prediction of how the data will evolve in the future. |
Oded Stein; Alec Jacobson; Fanny Chevalier; | arxiv-cs.HC | 2023-09-14 |
| 42 | Leveraging Large Language Models and Weak Supervision for Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, manual annotation of a large number of tweets is time-consuming and expensive. In this study, we evaluate the usage of Large Language Models, in this case GPT-4 (March 23 version), and weak supervision, to identify COVID-19 vaccine-related tweets, with the purpose of comparing performance against human annotators. |
Ramya Tekumalla; Juan M. Banda; | arxiv-cs.CL | 2023-09-12 |
| 43 | EDAC: Efficient Deployment of Audio Classification Models For COVID-19 Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The solutions leverage various input features, such as CT scans or cough audio signals, with state-of-the-art results arising from deep neural network architectures. |
Andrej Jovanović; Mario Mihaly; Lennon Donaldson; | arxiv-cs.SD | 2023-09-11 |
| 44 | Common Ground In Crisis: Causal Narrative Networks of Public Official Communications During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study investigates the use of causal narratives in public social media communications by U.S. public agencies over the first fifteen months of the COVID-19 pandemic. |
Sabrina Mai; Scott Leo Renshaw; Jeannette Sutton; Carter T. Butts; | arxiv-cs.SI | 2023-09-07 |
| 45 | Incorporating Dictionaries Into A Neural Network Architecture to Extract COVID-19 Medical Concepts From Social Media Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate the potential benefit of incorporating dictionary information into a neural network architecture for natural language processing. |
Abul Hasan; Mark Levene; David Weston; | arxiv-cs.CL | 2023-09-05 |
| 46 | Tracking The Structure and Sentiment of Vaccination Discussions on Mumsnet Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we study how vaccination discussions are conducted in the discussion forum of Mumsnet, a United Kingdom based website aimed at parents. |
Miguel E. P. Silva; Rigina Skeva; Thomas House; Caroline Jay; | arxiv-cs.SI | 2023-08-24 |
| 47 | Modelling The Spread of COVID-19 in Indoor Spaces Using Automated Probabilistic Planning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we explore a novel approach based on probabilistic planning and dynamic graph analysis to model the spread of COVID-19 in indoor spaces. |
Mohamed Harmanani; | arxiv-cs.AI | 2023-08-16 |
| 48 | A Graph Analysis of The Impact of COVID-19 on Emergency Housing Shelter Access Patterns Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper investigates how COVID-19 disrupted emergency housing shelter access patterns in Calgary, Canada and what aspects of these changes persist to the present day. |
Geoffrey G. Messier; | arxiv-cs.CY | 2023-08-15 |
| 49 | Discovering The Symptom Patterns of COVID-19 from Recovered and Deceased Patients Using Apriori Association Rule Mining Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an application of association rule mining based Apriori algorithm to discover symptom patterns from COVID-19 patients. |
Mohammad Dehghani; Zahra Yazdanparast; Mobin Mohammadi; | arxiv-cs.LG | 2023-08-13 |
| 50 | An Analytical Study of Covid-19 Dataset Using Graph-Based Clustering Algorithms Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we performed clustering on PPI networks generated from 92 genes of the Covi-19 dataset. |
Mamata Das; P. J. A. Alphonse; Selvakumar K; | arxiv-cs.LG | 2023-08-09 |
| 51 | Analysis of COVID-19 Offensive Tweets and Their Targets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, focusing on Twitter, we present a comprehensive analysis of COVID-related offensive tweets and their targets. |
SONG LIAO et. al. | kdd | 2023-08-04 |
| 52 | Post-pandemic Mobility Patterns in London Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study examines the mobility patterns captured from mobile phone apps to explore the behavioural patterns established since the COVID-19 lockdowns triggered a series of changes in urban environments. |
Roberto Murcio; Nilufer Sari Aslam; Joana Barros; | arxiv-cs.SI | 2023-07-19 |
| 53 | On Computing In The Network: Covid-19 Coughs Detection Case Study Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper highlights the advantages of in-network computing, comparing to edge computing, in terms of latency and traffic filtering. |
Soukaina Ouledsidi Ali; Zakaria Ait Hmitti; Halima Elbiaze; Roch Glitho; | arxiv-cs.NI | 2023-07-17 |
| 54 | 52 Weeks Later: Attitudes Towards COVID-19 Apps for Different Purposes Over Time Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we conduct the first representative study that examines changes in people’s attitudes towards COVID-19-related smartphone apps for five different purposes over the first 1.5 years of the pandemic. |
MARVIN KOWALEWSKI et. al. | arxiv-cs.HC | 2023-07-12 |
| 55 | The Smarty4covid Dataset and Knowledge Base: A Framework Enabling Interpretable Analysis of Audio Signals Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A new framework utilizing the smarty4covid OWL knowledge base towards generating counterfactual explanations in opaque AI-based COVID-19 risk detection models is proposed and validated. |
KONSTANTIA ZARKOGIANNI et. al. | arxiv-cs.SD | 2023-07-11 |
| 56 | Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The COVID-19 pandemic created a deluge of questionable and contradictory scientific claims about drug efficacy � an �infodemic� with lasting consequences for science and society. In this work, we argue that NLP models can help domain experts distill and understand the literature in this complex, high-stakes area. |
Daniel Sosa; Malavika Suresh; Christopher Potts; Russ Altman; | acl | 2023-07-08 |
| 57 | Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a human-in-the-loop evaluation framework for fact-checking novel misinformation claims and identifying social media messages that support them. |
Ethan Mendes; Yang Chen; Wei Xu; Alan Ritter; | acl | 2023-07-08 |
| 58 | Smartphones in A Microwave: Formal and Experimental Feasibility Study on Fingerprinting The Corona-Warn-App Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We measured real smartphones and observed that the German Corona-Warn-App (CWA) exhibits a device-specific latency between two subsequent broadcasts. |
Henrik Graßhoff; Florian Adamsky; Stefan Schiffner; | arxiv-cs.CR | 2023-07-06 |
| 59 | Population Age Group Sensitivity for COVID-19 Infections with Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study aimed to identify the most influential age groups in COVID-19 infection rates at the US county level using the Modified Morris Method and deep learning for time series. |
MD KHAIRUL ISLAM et. al. | arxiv-cs.LG | 2023-07-03 |
| 60 | Port Congestion Under The COVID-19 Pandemic: The Simulation-based Countermeasures Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jiaguo Liu; Xinrui Wang; Ji-hua Chen; | Comput. Ind. Eng. | 2023-07-01 |
| 61 | A Multi-Layer Blood Supply Chain Configuration and Optimization Under Uncertainty in COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View |
Omid Abdolazimi; Junfeng Ma; D. Shishebori; Majid Alimohammadi Ardakani; Seyed Erfan Masaeli; | Comput. Ind. Eng. | 2023-07-01 |
| 62 | Prediction of COVID-19 Patients’ Emergency Room Revisit Using Multi-Source Transfer Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we obtained Electronic Health Records (EHRs) of 3,210 encounters from 13 affiliated ERs within the University of Pittsburgh Medical Center between March 2020 and January 2021. |
YUELYU JI et. al. | arxiv-cs.LG | 2023-06-29 |
| 63 | Auditing and Robustifying COVID-19 Misinformation Datasets Via Anticontent Sampling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the context of COVID-19 misinformation detection, we conduct an in-the-wild audit of multiple datasets and demonstrate that models trained with several prominently cited recent datasets are vulnerable to anticontent when evaluated in the wild. |
Clay H. Yoo; Ashiqur R. KhudaBukhsh; | aaai | 2023-06-26 |
| 64 | Human Mobility Modeling During The COVID-19 Pandemic Via Deep Graph Diffusion Infomax Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we focus on mobility modelling and, from a micro perspective, aim to predict locations that will be visited by COVID-19 cases. |
YANG LIU et. al. | aaai | 2023-06-26 |
| 65 | A Clustering and Graph Deep Learning-based Framework for COVID-19 Drug Repurposing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study presents a novel unsupervised machine learning framework that utilizes a graph-based autoencoder for multi-feature type clustering on heterogeneous drug data. |
Chaarvi Bansal; Rohitash Chandra; Vinti Agarwal; P. R. Deepa; | arxiv-cs.AI | 2023-06-24 |
| 66 | An Analysis of Vaccine-related Sentiments from Development to Deployment of COVID-19 Vaccines Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this way, we provide visualisation and analysis of anti-vaccine sentiments over the course of the COVID-19 pandemic. |
Rohitash Chandra; Jayesh Sonawane; Janhavi Lande; Cathy Yu; | arxiv-cs.SI | 2023-06-23 |
| 67 | Visualizing Relation Between (De)Motivating Topics and Public Stance Toward COVID-19 Vaccine Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we proposed an interactive visualization tool to inspect and analyze the topics that resonated among Twitter-sphere during the COVID-19 pandemic and understand the key factors that shifted public stance for vaccination. |
Ashiqur Rahman; Hamed Alhoori; | arxiv-cs.CY | 2023-06-21 |
| 68 | RECAP-KG: Mining Knowledge Graphs from Raw GP Notes for Remote COVID-19 Assessment in Primary Care Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a framework that performs knowledge graph construction from raw GP medical notes written during or after patient consultations. |
Rakhilya Lee Mekhtieva; Brandon Forbes; Dalal Alrajeh; Brendan Delaney; Alessandra Russo; | arxiv-cs.CL | 2023-06-17 |
| 69 | To Be A Pro-vax or Not, The COVID-19 Vaccine Conundrum on Twitter Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This is a sizable cohort even when the stance detection noise is considered. In this paper, we tried to get deeper understanding of this ‘dual-stance’ group. |
Zainab Zaidi; Mengbin Ye; Shanika Karunasekera; Yoshihisa Kashima; | arxiv-cs.SI | 2023-06-11 |
| 70 | CovLLM: Large Language Models for COVID-19 Biomedical Literature Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A potential solution is developing a tool for evaluating coronavirus literature using large language models (LLMs) — neural networks that are deployed for natural language processing. |
Yousuf A. Khan; Clarisse Hokia; Jennifer Xu; Ben Ehlert; | arxiv-cs.CL | 2023-06-08 |
| 71 | A Comparative Study of Detecting Covid 19 By Using Chest X-ray Images– A Deep Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: SARS-CoV-2’s COVID-19 pandemic has quickly spread over the world, inflicting a sizable number of illnesses and fatalities. Stopping the virus’s spread depends on correctly and … |
Jonayet Miah; R. Khan; Sabbir Ahmed; Md Ishtyaq Mahmud; | 2023 IEEE World AI IoT Congress (AIIoT) | 2023-06-07 |
| 72 | Impact of The Covid 19 Outbreaks on The Italian Twitter Vaccination Debat: A Network Based Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a new, publicly available, dataset of Italian tweets, TwitterVax, collected in the period January 2019–May 2022. |
VERONICA LACHI et. al. | arxiv-cs.SI | 2023-06-05 |
| 73 | AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-19 & Its Severity Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper describes the 3rd COVID-19 Competition, taking place in the AI-enabled medical image analysis (AIMIA) Workshop of the 2023 IEEE International Conference on Acoustics, … |
D. Kollias; Anastasios Arsenos; S. Kollias; | 2023 IEEE International Conference on Acoustics, Speech, … | 2023-06-04 |
| 74 | Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a contrastive learning-based modeling approach for COVID-19 coughing and breathing pattern discovery from non-COVID coughs. |
Jinjin Cai; Sudip Vhaduri; Xiao Luo; | arxiv-cs.LG | 2023-06-02 |
| 75 | Leveraging Natural Language Processing For Public Health Screening On YouTube: A COVID-19 Case Study Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The aim of our study was to investigate the use of Natural Language Processing (NLP) to identify the spoken content of YouTube vlogs related to the diagnosis of Coronavirus disease of 2019 (COVID-19) for public health screening. |
Ahrar Bin Aslam; Zafi Sherhan Syed; Muhammad Faiz Khan; Asghar Baloch; Muhammad Shehram Shah Syed; | arxiv-cs.CL | 2023-06-01 |
| 76 | Forecasting COVID-19 Outbreak Through Fusion of Internet Search, Social Media, and Air Quality Data: A Retrospective Study in Indian Context Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article proposes a machine learning augmented technique to predict the coronavirus disease (COVID-19) outbreak in India by combining Internet search trends along with social … |
Sankhadeep Chatterjee; Kushankur Ghosh; Arghasree Banerjee; Soumen Banerjee; | IEEE Transactions on Computational Social Systems | 2023-06-01 |
| 77 | COVID-19 Detection from Mass Spectra of Exhaled Breath Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose a fast and non-invasive detection system exploiting a proprietary mass spectrometer to measure ions in exhaled breath. |
NICOLÒ BELLARMINO et. al. | arxiv-cs.LG | 2023-05-30 |
| 78 | Pandemic Culture Wars: Partisan Differences in The Moral Language of COVID-19 Discussions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe a weakly supervised method to identify issue-relevant tweets and employ state-of-the-art computational methods to analyze moral language and infer political ideology. |
Ashwin Rao; Siyi Guo; Sze-Yuh Nina Wang; Fred Morstatter; Kristina Lerman; | arxiv-cs.SI | 2023-05-29 |
| 79 | Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new fact-checking benchmark, Check-COVID, that requires systems to verify claims about COVID-19 from news using evidence from scientific articles. |
GENGYU WANG et. al. | arxiv-cs.CL | 2023-05-29 |
| 80 | ArPanEmo: An Open-Source Dataset for Fine-Grained Emotion Recognition in Arabic Online Content During COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the ArPanEmo dataset, a novel dataset for fine-grained emotion recognition of online posts in Arabic. |
Maha Jarallah Althobaiti; | arxiv-cs.CL | 2023-05-27 |
| 81 | Transitioning Towards Fit-for-purpose Public Health Surveillance Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Overall, this report summarises the importance of early detection and rapid response, international cooperation and coordination, clear and consistent communication, investing in public health systems and emergency preparedness, digital technology and telemedicine, and equity and social determinants of health. |
Maria N. Anastasiadou; Philippos Isaia; Panayiotis Kolios; Christos Charalambous; | arxiv-cs.CY | 2023-05-26 |
| 82 | IR Models and The COVID-19 Pandemic: A Comparative Study of Performance and Challenges Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The study applies the TREC framework to the COVID-19 Open Research Dataset (CORD-19) and evaluates BM25, Contriever, and Bag of Embeddings IR frameworks. |
Moksh Shukla; Nitik Jain; Shubham Gupta; | arxiv-cs.IR | 2023-05-21 |
| 83 | Comfort Foods and Community Connectedness: Investigating Diet Change During COVID-19 Using YouTube Videos on Twitter Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we use YouTube videos embedded in tweets about diet, exercise and fitness posted before and during COVID-19 to investigate the influence of the pandemic lockdowns on diet and nutrition. |
Yelena Mejova; Lydia Manikonda; | arxiv-cs.SI | 2023-05-18 |
| 84 | Predicting COVID-19 Pandemic By Spatio-temporal Graph Neural Networks: A New Zealand’s Study Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel deep learning architecture named Attention-based Multiresolution Graph Neural Networks (ATMGNN) that learns to combine the spatial graph information, i.e. geographical data, with the temporal information, i.e. timeseries data of number of COVID-19 cases, to predict the future dynamics of the pandemic. |
Viet Bach Nguyen; Truong Son Hy; Long Tran-Thanh; Nhung Nghiem; | arxiv-cs.LG | 2023-05-12 |
| 85 | Response to The Impact of COVID-19 By Health Professions Education Institutions in Africa: A Case Study on Preparedness for Remote Learning and Teaching Related Papers Related Patents Related Grants Related Venues Related Experts View |
S. CHIPAMAUNGA et. al. | Smart Learning Environments | 2023-05-09 |
| 86 | Predicting COVID-19 and Pneumonia Complications from Admission Texts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present a novel approach to risk assessment for patients hospitalized with pneumonia or COVID-19 based on their admission reports. |
DMITRIY UMERENKOV et. al. | arxiv-cs.CL | 2023-05-05 |
| 87 | DeCom: Deep Coupled-Factorization Machine for Post COVID-19 Respiratory Syncytial Virus Prediction with Nonpharmaceutical Interventions Awareness Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a deep coupled tensor factorization machine, dubbed as DeCom, for post COVID-19 RSV prediction. |
Xinyan Li; Cheng Qian; Lucas Glass; | arxiv-cs.LG | 2023-05-02 |
| 88 | Designing Socially Assistive Robots: Exploring Israeli and German Designers’ Perceptions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we sought to investigate the effect of cultural differences on Israeli and German designers’ perceptions and preferences regarding the suitable visual qualities of SARs in four different contexts: a service robot for an assisted living/retirement residence facility, a medical assistant robot for a hospital environment, a COVID-19 officer robot, and a personal assistant robot for domestic use. |
Ela Liberman-Pincu; Oliver Korn; Jonas Grund; Elmer D. van Grondelle; Tal Oron-Gilad; | arxiv-cs.RO | 2023-04-30 |
| 89 | Examining European Press Coverage of The Covid-19 No-Vax Movement: An NLP Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Using a curated dataset of 1786 articles from 19 European newspapers on the anti-vaccine movement over a period of 22 months in 2020-2021, we used Natural Language Processing techniques including topic modeling, sentiment analysis, semantic relationship with word embeddings, political analysis, named entity recognition, and semantic networks, to understand the specific role of the European traditional press in the disinformation ecosystem. |
David Alonso del Barrio; Daniel Gatica-Perez; | arxiv-cs.CL | 2023-04-29 |
| 90 | The Impact of Covid-19 on Online Discussions: The Case Study of The Sanctioned Suicide Forum Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate the impact of COVID-19 on the discussions in the forum. The data show that covid, while being present in the discussions, especially during the first lockdown, has not been the main reason why new users registered to the forum. |
Elisa Sartori; Luca Pajola; Giovanni Da San Martino; Mauro Conti; | www | 2023-04-29 |
| 91 | Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing works mainly focus on traffic or crowd flow prediction in normal situations. To tackle this problem, in this study, disaster-related Twitter data is incorporated as a covariate to understand the public awareness and attention about the disaster events and thus perceive their impacts on the human mobility. |
RENHE JIANG et. al. | www | 2023-04-29 |
| 92 | Wearing Face Mask Detection Using Deep Learning Through COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we did an investigation on the capability of three state-of-the-art object detection neural networks on face mask detection for real-time applications. |
Javad Khoramdel; Soheila Hatami; Majid Sadedel; | arxiv-cs.CV | 2023-04-28 |
| 93 | COVID-19 Detection from Speech in Noisy Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We explore the integration of audio enhancement into a speech-based COVID-19 detection system in an attempt to make speech captured in noisy environments from everyday life useful for the detection of the virus. |
S. Liu; A. Mallol-Ragolta; B. W. Schuller; | icassp | 2023-04-27 |
| 94 | On The Importance of Different Cough Phases for COVID-19 Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, our aim is two-fold. |
Y. Zhu; M. H. Shaik; T. H. Falk; | icassp | 2023-04-27 |
| 95 | Piecewise Position Encoding in Convolutional Neural Network for Cough-Based Covid-19 Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Even the convolutional neural networks that are capable to learn position information may be affected by small transformations of input features. Therefore, we propose piecewise position encoding added to time-frequency features to provide supplementary position information explicitly. |
J. SHEN et. al. | icassp | 2023-04-27 |
| 96 | Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose FedLoss, a novel cross-device FL framework for health diagnostics. |
T. Xia; J. Han; A. Ghosh; C. Mascolo; | icassp | 2023-04-27 |
| 97 | Does A Quieter City Mean Fewer Complaints? The Sounds of New York City During Covid-19 Lockdown Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Small scale studies have show this change in noise levels across different locations in the globe. In this work, we extend these studies by using historical audio data from the SONYC sensor network deployed in New York City. |
M. Cartwright; M. Fuentes; C. Mydlarz; F. Miranda; J. P. Bello; | icassp | 2023-04-27 |
| 98 | Coarse-to-Fine Covid-19 Segmentation Via Vision-Language Alignment Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, there are few relevant studies due to the lack of detailed information and high-quality annotation in the COVID-19 dataset. To solve the above problem, we propose C2FVL, a Coarse-to-Fine segmentation framework via Vision-Language alignment to merge text information containing the number of lesions and specific locations of image information. |
D. SHAN et. al. | icassp | 2023-04-27 |
| 99 | Higher-Order Spatio-Temporal Neural Networks for Covid-19 Forecasting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the COVID-19 spatio-temporal graph (COV19-STG) datasets, i.e., spatio-temporal United States COVID-19 graph datasets on the county-level. |
Y. Chen; S. Batsakis; H. V. Poor; | icassp | 2023-04-27 |
| 100 | Residual Squeeze-and-Excitation U-Shaped Network for Minutia Extraction in Contactless Fingerprint Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes and analyzes a residual squeeze-and-excitation U-shaped deep learning model for extracting minutiae in contactless fingerprint images. |
A. N. Cotrim; H. Pedrini; | icassp | 2023-04-27 |
| 101 | AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in immunomics have shown that T-cell receptor (TCR) signatures can accurately predict active or recent infection by leveraging the high specificity of TCR binding … |
MELANIE F. PRADIER et. al. | ArXiv | 2023-04-26 |
| 102 | COVID-19 Spreading Prediction and Impact Analysis By Using Artificial Intelligence for Sustainable Global Health Assessment Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here in this article, we have tried to integrate AI to predict the infection outbreak and along with this, we have also tried to test whether AI with help deep learning can recognize COVID-19 infected chest X-Rays or not. The global outbreak of the virus posed enormous economic, ecological and societal challenges into the human population and with help of this paper, we have tried to give a message that AI can help us to identify certain features of the disease outbreak that could prove to be essential to protect the humanity from this deadly disease. |
Subhrangshu Adhikary; Sonam Chaturvedi; Sudhir Kumar Chaturvedi; Saikat Banerjee; | arxiv-cs.AI | 2023-04-23 |
| 103 | An Investigation of Face Mask Use with Busking Videos on YouTube During COVID-19: A Case Study in South Korea Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Current existing worldwide surveys are mostly self-reported, whose accuracies are hard to guaranteed, and may exaggerate the percentage of face mask wearing. Therefore, we collected busking videos with a large amount on YouTube from December 2019 to December 2020, mainly from South Korea, and reported an objective investigation of face mask use in the crowds outdoor. |
CHEN WU et. al. | arxiv-cs.CY | 2023-04-22 |
| 104 | Medium. Permeation: SARS-COV-2 Painting Creation By Generative Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With computerized data analysis through the main tones, the way of color layout, and the way of color stacking in the paintings of the Impressionists, we train computers to draw the novel coronavirus in an Impressionist style using a Generative Adversarial Network to create our artwork Medium. |
Yuan-Fu Yang; Iuan-Kai Fang; Min Sun; Su-Chu Hsu; | arxiv-cs.CV | 2023-04-22 |
| 105 | Reddit in The Time of COVID Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a conceptual framework for studying the large-scale evolution of social platforms and apply it to the study of Reddit’s history, with a particular focus on the COVID-19 pandemic. |
Veniamin Veselovsky; Ashton Anderson; | arxiv-cs.CY | 2023-04-21 |
| 106 | Social Virtual Reality As A Mental Health Tool: How People Use VRChat to Support Social Connectedness and Wellbeing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Social virtual reality (VR) platforms have increased in popularity with many people turning to these platforms to experience social connection, including a rapid influx of users … |
M. Deighan; Amid Ayobi; A. O’Kane; | Proceedings of the 2023 CHI Conference on Human Factors in … | 2023-04-19 |
| 107 | Contact Tracing Over Uncertain Indoor Positioning Data (Extended Version) Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we formulate and study a novel query called Indoor Contact Query (ICQ) over raw, uncertain indoor positioning data that digitalizes people’s movements indoors. |
Tiantian Liu; Huan Li; Hua Lu; Muhammad Aamir Cheema; Harry Kai-Ho Chan; | arxiv-cs.DB | 2023-04-18 |
| 108 | Questioning The Impact of AI and Interdisciplinarity in Science: Lessons from COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Artificial intelligence (AI) has emerged as one of the most promising technologies to support COVID-19 research, with interdisciplinary collaborations between medical professionals and AI specialists being actively encouraged since the early stages of the pandemic. Yet, our analysis of more than 10,000 papers at the intersection of COVID-19 and AI suggest that these collaborations have largely resulted in science of low visibility and impact. |
Diletta Abbonato; Stefano Bianchini; Floriana Gargiulo; Tommaso Venturini; | arxiv-cs.CY | 2023-04-18 |
| 109 | Understanding The Use of Images to Spread COVID-19 Misinformation on Twitter Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: While COVID-19 text misinformation has already been investigated by various scholars, fewer research efforts have been devoted to characterizing and understanding COVID-19 … |
Yuping Wang; Chen Ling; G. Stringhini; | Proceedings of the ACM on Human-Computer Interaction | 2023-04-14 |
| 110 | Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose Covidia, COVID-19 interdisciplinary academic knowledge graph to bridge the gap between knowledge of COVID-19 on different domains. |
CHENG DENG et. al. | arxiv-cs.IR | 2023-04-14 |
| 111 | An Analysis of How COVID-19 Shaped The Realm of Online Gaming and Lesson Delivery Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic has forced schools and universities to adapt to remote learning, and online gaming has emerged as a tool for education. Educational games can make learning … |
Yingwei Cheng; Nicholas Milikich; | arxiv-cs.CY | 2023-04-12 |
| 112 | Examining Temporalities on Stance Detection Towards COVID-19 Vaccination Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study aims to examine the impact of temporal concept drift on stance detection towards COVID-19 vaccination on Twitter. |
Yida Mu; Mali Jin; Kalina Bontcheva; Xingyi Song; | arxiv-cs.CL | 2023-04-10 |
| 113 | A Large-Scale Comparative Study of Accurate COVID-19 Information Versus Misinformation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An added contribution of this study is the creation of a COVID-19 misinformation classification dataset. |
YIDA MU et. al. | arxiv-cs.CL | 2023-04-10 |
| 114 | Detecting Chinese Fake News on Twitter During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we report on the creation of a novel classifier that detects whether Chinese-language social media posts from Twitter are related to fake news about China. |
Yongjun Zhang; Sijia Liu; Yi Wang; Xinguang Fan; | arxiv-cs.CY | 2023-04-06 |
| 115 | Unveiling The Dynamics of Censorship, COVID-19 Regulations, and Protest: An Empirical Study of Chinese Subreddit R/china_irl Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we provide empirical evidence to explore the relationships among COVID-19 regulations, censorship, and protest through a series of social incidents occurred in China during 2022. |
Siyi Zhou; Luca Luceri; Emilio Ferrara; | arxiv-cs.SI | 2023-04-05 |
| 116 | On The Impact of Voice Anonymization on Speech-Based COVID-19 Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unfortunately, the effects that anonymization may have on these systems are still largely unknown. In this paper, we fill this gap and focus on one particular health monitoring application: speech-based COVID-19 diagnosis. |
Yi Zhu; Mohamed Imoussaïne-Aïkous; Carolyn Côté-Lussier; Tiago H. Falk; | arxiv-cs.CL | 2023-04-04 |
| 117 | Classifying COVID-19 Related Tweets for Fake News Detection and Sentiment Analysis with BERT-based Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We used an available dataset task1.c related to covid-19 pandemic. |
Rabia Bounaama; Mohammed El Amine Abderrahim; | arxiv-cs.CL | 2023-04-02 |
| 118 | Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the coronavirusdisease 2019 (COVID-19) pandemic continues, fast and automatic COVID-19-related pneumonia lesion segmentation method is in an urgent need. The current … |
ZHENGHAN FANG et. al. | IEEE Transactions on Artificial Intelligence | 2023-04-01 |
| 119 | Retracted Articles About COVID-19 Vaccines Enable Vaccine Misinformation on Twitter Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our study analyzed the topical content of 4,876 English-language tweets about retracted COVID-19 vaccine research and found that 27.4% of tweets contained retraction-related misinformation. |
Rod Abhari; Esteban Villa-Turek; Nicholas Vincent; Henry Dambanemuya; Emőke-Ágnes Horvát; | arxiv-cs.SI | 2023-03-28 |
| 120 | A Comparative Study of Federated Learning Models for COVID-19 Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We examined the algorithms with varying numbers of participants, federated rounds, and selection algorithms. |
Erfan Darzidehkalani; Nanna M. Sijtsema; P. M. A van Ooijen; | arxiv-cs.LG | 2023-03-28 |
| 121 | RRFMDS: Rapid Real-Time Face Mask Detection System for Effective COVID-19 Monitoring Related Papers Related Patents Related Grants Related Venues Related Experts View |
Burhan ul haque Sheikh; Aasim Zafar; | Sn Computer Science | 2023-03-27 |
| 122 | Diphenyl Diselenide and SARS-CoV-2: in Silico Exploration of The Mechanisms of Inhibition of Main Protease (Mpro) and Papain-like Protease (PLpro) Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The SARS-CoV-2 pandemic has prompted global efforts to develop therapeutics. The main protease of SARS-CoV-2 (Mpro) and the papain-like protease (PLpro) are essential for viral … |
F. B. OMAGE et. al. | Journal of Chemical Information and Modeling | 2023-03-23 |
| 123 | Human Behavior in The Time of COVID-19: Learning from Big Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we present an overview of the existing studies on using big data techniques to study human behavior in the time of the COVID-19 pandemic. |
Hanjia Lyu; Arsal Imtiaz; Yufei Zhao; Jiebo Luo; | arxiv-cs.CY | 2023-03-23 |
| 124 | ClinicLens: Visual Analytics for Exploring and Optimizing The Testing Capacity of Clinics Given Uncertainty Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Clinic testing plays a critical role in containing infectious diseases such as COVID-19. However, one of the key research questions in fighting such pandemics is how to optimize … |
Yu Dong; Jie Liang; Longbing Cao; Daniel Catchpoole; | arxiv-cs.HC | 2023-03-22 |
| 125 | Vaccine Allocation and Distribution: A Review with A Focus on Quantitative Methodologies and Application to Equity, Hesitancy, and COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View |
Emanuele Blasioli; Bahareh Mansouri; Srinivas Subramanya Tamvada; E. Hassini; | Operations Research Forum | 2023-03-21 |
| 126 | COVID-19 Event Extraction from Twitter Via Extractive Question Answering with Continuous Prompts Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we cast the problem of event extraction as extractive question answering using recent advances in continuous prompting in language models. |
Yuhang Jiang; Ramakanth Kavuluru; | arxiv-cs.CL | 2023-03-19 |
| 127 | How People Respond to The COVID-19 Pandemic on Twitter: A Comparative Analysis of Emotional Expressions from US and India Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study examines the expression of various emotions pertaining to COVID-19 in the United States and India as manifested in over 54 million tweets, covering the fifteen-month period from February 2020 through April 2021, a period which includes the beginnings of the huge and disastrous increase in COVID-19 cases that started to ravage India in March 2021. |
Brandon Siyuan Loh; Raj Kumar Gupta; Ajay Vishwanath; Andrew Ortony; Yinping Yang; | arxiv-cs.CL | 2023-03-19 |
| 128 | An Effective Deep Learning Model to Discriminate Coronavirus Disease From Typical Pneumonia Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current technological advances are paving the way for technologies based on deep learning to be utilized in the majority of life fields. The effectiveness of these technologies … |
JUMANA WALEED et. al. | Int. J. Serv. Sci. Manag. Eng. Technol. | 2023-03-17 |
| 129 | Forecasting COVID-19 Case Counts Based on 2020 Ontario Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Objective: To develop machine learning models that can predict the number of COVID-19 cases per day given the last 14 days of environmental and mobility data. |
Daniel L. Silver; Rinda Digamarthi; | arxiv-cs.LG | 2023-03-17 |
| 130 | Sensing The Pulse of The Pandemic: Geovisualizing The Demographic Disparities of Public Sentiment Toward COVID-19 Through Social Media Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This study explores solutions to pinpoint and alleviate the demographic biases in social media analysis through a case study estimating the public sentiment about COVID-19 using Twitter data. |
BINBIN LINA et. al. | arxiv-cs.CY | 2023-03-16 |
| 131 | Regret, Delete, (Do Not) Repeat: An Analysis of Self-Cleaning Practices on Twitter After The Outbreak of The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present an analysis of deleted content on Twitter during the outbreak of the COVID-19 pandemic. |
Nicolás E. Díaz Ferreyra; Gautam Kishore Shahi; Catherine Tony; Stefan Stieglitz; Riccardo Scandariato; | arxiv-cs.SI | 2023-03-16 |
| 132 | Forecasting COVID-19 Infections in Gulf Cooperation Council (GCC) Countries Using Machine Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we develop time series models for the Gulf Cooperation Council (GCC) countries using the public COVID-19 dataset from Johns Hopkins. |
Leila Ismail; Huned Materwala; Alain Hennebelle; | arxiv-cs.LG | 2023-03-13 |
| 133 | Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose FedLoss, a novel cross-device FL framework for health diagnostics. |
Tong Xia; Jing Han; Abhirup Ghosh; Cecilia Mascolo; | arxiv-cs.LG | 2023-03-13 |
| 134 | Identifying Misinformation Spreaders: A Graph-Based Semi-Supervised Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we proposed a Graph-Based conspiracy source detection method for the MediaEval task 2022 FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task. |
Atta Ullah; Rabeeh Ayaz Abbasi; Akmal Saeed Khattak; Anwar Said; | arxiv-cs.SI | 2023-03-07 |
| 135 | Classifying Text-Based Conspiracy Tweets Related to COVID-19 Using Contextualized Word Embeddings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we used BERT, ELMO, and their combination for feature extraction and RandomForest as classifier. |
Abdul Rehman; Rabeeh Ayaz Abbasi; Irfan ul Haq Qureshi; Akmal Saeed Khattak; | arxiv-cs.CL | 2023-03-07 |
| 136 | Disparity in The Evolving COVID-19 Collaboration Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By studying the collaboration network of COVID 19 scientists, we observe how a new scientific community has been built in preparation for a sudden shock. |
HUIMIN XU et. al. | arxiv-cs.SI | 2023-03-04 |
| 137 | Social Media COVID-19 Contact Tracing Using Mobile Social Payments and Facebook Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We developed unique computational methods (combining Venmo- and Facebook- derived data) to classify post content, including the location where the content was likely posted. |
Shrivu Shankar; Dhiraj Murthy; Hassan Dashtian; | arxiv-cs.SI | 2023-03-04 |
| 138 | Deep Learning for COVID-19 Topic Modelling Via Twitter: Alpha, Delta and Omicron Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we use prominent deep learning-based language models for COVID-19 topic modelling taking into account data from emergence (Alpha) to the Omicron variant. |
Janhavi Lande; Arti Pillay; Rohitash Chandra; | arxiv-cs.LG | 2023-02-28 |
| 139 | Comparing Toxicity Across Social Media Platforms for COVID-19 Discourse Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Consequently, this study aims to assess the level of toxicity in COVID-19 discussions on Twitter, Parler, and Reddit. |
Nahiyan Bin Noor; Niloofar Yousefi; Billy Spann; Nitin Agarwal; | arxiv-cs.SI | 2023-02-27 |
| 140 | Changes in Commuter Behavior from COVID-19 Lockdowns in The Atlanta Metropolitan Area Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper analyzes the impact of COVID-19 related lockdowns in the Atlanta, Georgia metropolitan area by examining commuter patterns in three periods: prior to, during, and after the pandemic lockdown. |
TEJAS SANTANAM et. al. | arxiv-cs.LG | 2023-02-26 |
| 141 | Air Quality Index (AQI) Did Not Improve During The COVID-19 Lockdown in Shanghai, China, in 2022, Based on Ground and TROPOMI Observations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The lockdowns from the coronavirus disease of 2019 (COVID-19) have led to a reduction in anthropogenic activities and have hence reduced primary air pollutant emissions, which … |
Qihan Ma; Jianbo Wang; Ming Xiong; Liye Zhu; | Remote. Sens. | 2023-02-26 |
| 142 | In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and The Impact of The Covid-19 Pandemic on Model Performance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work conducts a comparative study of Deep Learning (DL) architectures, namely Neural Basis Expansion Analysis Time Series Forecasting (N-BEATS), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks (TCN), with respect to forecasting accuracy and training sustainability, meanwhile examining their out-of-distribution generalization capabilities during the COVID-19 pandemic era. |
SOTIRIS PELEKIS et. al. | arxiv-cs.LG | 2023-02-25 |
| 143 | Modeling The Supply Chain Network in The Fast-moving Consumer Goods Industry During COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View |
E. Asgharizadeh; A. Daneshvar; M. Homayounfar; F. Salahi; Mohsen Amini Khouzani; | Operational Research | 2023-02-25 |
| 144 | Exploring Social Media for Early Detection of Depression in COVID-19 Patients Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigated the relationship between COVID-19 infection and depression through social media analysis. |
JIAGENG WU et. al. | arxiv-cs.CL | 2023-02-23 |
| 145 | A Twitter Narrative of The COVID-19 Pandemic in Australia Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As the presented results provide a comprehensive understanding of the Australian Twitterverse during the COVID-19 pandemic, this study aims to explore the discussion dynamics to aid the development of future automated information systems for epidemic/pandemic management. |
Rabindra Lamsal; Maria Rodriguez Read; Shanika Karunasekera; | arxiv-cs.SI | 2023-02-21 |
| 146 | Deep‐CoV: An Integrated Deep Learning Model to Detect COVID‐19 Using Chest X‐ray and CT Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID‐19 virus has fatal effect on lung function and due to its rapidity the early detection is necessary at the moment. The radiographic images have already been used by the … |
Sanjib Roy; A. Das; | Computational Intelligence | 2023-02-21 |
| 147 | CovidExpert: A Triplet Siamese Neural Network Framework for The Detection of COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By leveraging the data in a comparatively small dataset, few-shot learning algorithms aim to reduce the requirement of large datasets. |
Tareque Rahman Ornob; Gourab Roy; Enamul Hassan; | arxiv-cs.CV | 2023-02-17 |
| 148 | Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper applies eXplainable Artificial Intelligence (XAI) methods to investigate the socioeconomic disparities in COVID patient mortality. |
LI SHI et. al. | arxiv-cs.LG | 2023-02-16 |
| 149 | Modeling and Forecasting COVID-19 Cases Using Latent Subpopulations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we propose two new methods to model the number of people infected with COVID-19 over time, each as a linear combination of latent sub-populations — i.e., when we do not know which person is in which sub-population, and the only available observations are the aggregates across all sub-populations. |
Roberto Vega; Zehra Shah; Pouria Ramazi; Russell Greiner; | arxiv-cs.LG | 2023-02-09 |
| 150 | A Large-Scale Analysis of Persian Tweets Regarding Covid-19 Vaccination Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, using data gathered from Twitter, including tweets and user profiles, we offer a comprehensive analysis of public opinion in Iran about the Coronavirus vaccines. |
Taha ShabaniMirzaei; Houmaan Chamani; Amirhossein Abaskohi; Zhivar Sourati Hassan Zadeh; Behnam Bahrak; | arxiv-cs.CL | 2023-02-09 |
| 151 | PINN Training Using Biobjective Optimization: The Trade-off Between Data Loss and Residual Loss Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we suggest a multiobjective perspective on the training of PINNs by treating the data loss and the residual loss as two individual objective functions in a truly biobjective optimization approach. |
Fabian Heldmann; Sarah Berkhahn; Matthias Ehrhardt; Kathrin Klamroth; | arxiv-cs.LG | 2023-02-03 |
| 152 | Using Natural Language Processing and Structured Medical Data to Phenotype Patients Hospitalized Due to COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work demonstrates the utility of natural language processing approaches to derive information related to patient hospitalizations in cases where there may be multiple conditions that could serve as the primary indication for hospitalization. |
FEIER CHANG et. al. | arxiv-cs.CL | 2023-02-02 |
| 153 | Deep COVID-19 Forecasting for Multiple States with Data Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a deep learning approach to forecasting state-level COVID-19 trends of weekly cumulative death in the United States (US) and incident cases in Germany. |
Chung Yan Fong; Dit-Yan Yeung; | arxiv-cs.LG | 2023-02-02 |
| 154 | Modeling Opinion Polarization on Social Media: Application to Covid-19 Vaccination Hesitancy in Italy Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, motivated by recent natural language processing techniques to systematically extract and quantify opinions from text messages, we present a differential framework for bivariate opinion formation dynamics that is coupled with a compartmental model for fake news dissemination. |
Jonathan Franceschi; Lorenzo Pareschi; Elena Bellodi; Marco Gavanelli; Marco Bresadola; | arxiv-cs.SI | 2023-02-02 |
| 155 | COVID-19 and Syphilis Co-dynamic Analysis Using Mathematical Modeling Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this study, we have proposed and analyzed a new COVID-19 and syphilis co-infection mathematical model with 10 distinct classes of the human population (COVID-19 protected, … |
Shewafera Wondimagegnhu Teklu; Birhanu Baye Terefe; | Frontiers in Applied Mathematics and Statistics | 2023-02-01 |
| 156 | Influence of Information Blocking on The Spread of Virus in Multilayer Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the model of the interaction between the spread of disease and the spread of information about the disease in multilayer networks. |
Paulina Wątroba; Piotr Bródka; | arxiv-cs.SI | 2023-01-27 |
| 157 | A Benchmark Study By Using Various Machine Learning Models for Predicting Covid-19 Trends Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The decision tree and the Random Forest algorithm perform better than SVR in this work. |
D. Kamelesun; R. Saranya; P. Kathiravan; | arxiv-cs.LG | 2023-01-26 |
| 158 | Prediction of COVID-19 By Its Variants Using Multivariate Data-driven Deep Learning Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Tests were conducted using the LSTM and BiLSTM models with the addition of RNN as comparisons on hidden size and layer size. |
Akhmad Dimitri Baihaqi; Novanto Yudistira; Edy Santoso; | arxiv-cs.CE | 2023-01-25 |
| 159 | Powering An AI Chatbot with Expert Sourcing to Support Credible Health Information Access Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: During a public health crisis like the COVID-19 pandemic, a credible and easy-to-access information portal is highly desirable. It helps with disease prevention, public health … |
Ziang Xiao; Q. Liao; Michelle X. Zhou; Tyrone Grandison; Yunyao Li; | Proceedings of the 28th International Conference on … | 2023-01-25 |
| 160 | Improved Bitcoin Price Prediction Based on COVID-19 Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We applied a Random Forest model (RF) to identify and rank the feature importance, and ran a Long Short-Term Memory (LSTM) model on Bitcoin prices data set twice: with and without accounting for COVID-19 related features. |
Palina Niamkova; Rafael Moreira; | arxiv-cs.LG | 2023-01-25 |
| 161 | STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a Spatio-Temporal Meta-Generative Adversarial Network (STORM-GAN) model that estimates dynamic human mobility responses under a set of social and policy conditions related to COVID-19. |
Han Bao; Xun Zhou; Yiqun Xie; Yanhua Li; Xiaowei Jia; | arxiv-cs.LG | 2023-01-20 |
| 162 | TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in The United States Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a large-scale agent-based model of policy interventions that could have been implemented to mitigate the Omicron wave. |
DAVID O’GARA et. al. | arxiv-cs.SI | 2023-01-19 |
| 163 | GeoCovaxTweets: COVID-19 Vaccines and Vaccination-specific Global Geotagged Twitter Conversations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the COVID-19 vaccines and vaccination-specific global geotagged tweets dataset, GeoCovaxTweets, that contains more than 1.8 million tweets, with location information and longer temporal coverage, originating from 233 countries and territories between January 2020 and November 2022. |
Pardeep Singh; Rabindra Lamsal; Satish Chand; Bhawna Shishodia; | arxiv-cs.SI | 2023-01-18 |
| 164 | BillionCOV: An Enriched Billion-scale Collection of COVID-19 Tweets for Efficient Hydration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We report that more than 500 million tweet identifiers point to deleted or protected tweets. In order to address these issues, this paper introduces an enriched global billion-scale English-language COVID-19 tweets dataset, BillionCOV, that contains 1.4 billion tweets originating from 240 countries and territories between October 2019 and April 2022. |
Rabindra Lamsal; Maria Rodriguez Read; Shanika Karunasekera; | arxiv-cs.SI | 2023-01-18 |
| 165 | VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we created a new collection of over 3,101 tweets annotated with users’ attitudes towards COVID-19 vaccination (stance). |
YIDA MU et. al. | arxiv-cs.CL | 2023-01-16 |
| 166 | Spatio-temporal Graph Learning for Epidemic Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic has posed great challenges to public health services, government agencies, and policymakers, raising huge social conflicts between public health and economic … |
Shuo Yu; Feng Xia; Shihao Li; Mingliang Hou; Quan.Z Sheng; | ACM Transactions on Intelligent Systems and Technology | 2023-01-12 |
| 167 | Patterns of Social Vulnerability — An Interactive Dashboard to Explore Risks to Public Health on The US County Level Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we study social vulnerabilities on the US county level and present research that suggests that there are certain combinations, or patterns, of social vulnerability indicators into which US counties can be grouped. |
Darius Coelho; Nikita Gupta; Eric Papenhausen; Klaus Mueller; | arxiv-cs.HC | 2023-01-07 |
| 168 | Auditing Citation Polarization During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By auditing the complete set of COVID-19-related publications in the Web of Science, we reveal here that COVID-19-related research worsened the polarization of academic journals: the IF before the pandemic was proportional to the increment of IF, which had the effect of increasing inequality while retaining the journal rankings. |
Taekho You; Jinseo Park; June Young Lee; Jinhyuk Yun; | arxiv-cs.DL | 2023-01-05 |
| 169 | Learning and Interpreting Asymmetry-labeled DAGs: A Case Study on COVID-19 Fear Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Asymmetry-labeled DAGs have been recently proposed to both extend the class of Bayesian networks by relaxing the symmetric assumption of independence and denote the type of dependence existing between the variables of interest. Here, we introduce novel structural learning algorithms for this class of models which, whilst being efficient, allow for a straightforward interpretation of the underlying dependence structure. |
Manuele Leonelli; Gherardo Varando; | arxiv-cs.AI | 2023-01-02 |
| 170 | Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: COVID-19 has affected many people across the globe. Though vaccines are available now, early detection of the disease plays a vital role in the better management of COVID-19 … |
S. PUNITHA et. al. | IEEE Access | 2023-01-01 |
| 171 | Interacting With COVID-19: How Population Behavior, Feedback and Memory Shaped Recurrent Waves of The Epidemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Until the approval of vaccines at the end of 2020, societies relied on non-pharmaceutical interventions (NPIs) in order to control the COVID-19 pandemic. Spontaneous changes in … |
F. MONTEFUSCO et. al. | IEEE Control Systems Letters | 2023-01-01 |
| 172 | A Hybrid Deep Learning Model to Predict The Impact of COVID-19 on Mental Health From Social Media Big Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The novel coronavirus disease (COVID-19) pandemic is provoking a prevalent consequence on mental health because of less interaction among people, economic collapse, negativity, … |
M. H. BANNA et. al. | IEEE Access | 2023-01-01 |
| 173 | Multi-Features Disease Analysis Based Smart Diagnosis for COVID-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Coronavirus 2019 (COVID -19) is the current global buzzword, putting the world at risk. The pandemic’s exponential expansion of infected COVID-19 patients has challenged the … |
Sirisati Ranga Swamy; S. Praveen; Shakeel Ahmed; P. Srinivasu; Abdulaziz Alhumam; | Comput. Syst. Sci. Eng. | 2023-01-01 |
| 174 | Multi-label Emotion Classification of COVID-19 Tweets with Deep Learning and Topic Modelling Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic has become one of the severe diseases in recent years. As it majorly affects the common livelihood of people across the universe, it is essential for … |
K. Anuratha; M. Parvathy; | Comput. Syst. Sci. Eng. | 2023-01-01 |
| 175 | Using The Statistical Machine Learning Models ARIMA and SARIMA to Measure The Impact of Covid-19 on Official Provincial Sales of Cigarettes in Spain Related Papers Related Patents Related Grants Related Venues Related Experts View |
Andoni Andueza; Miguel Ángel Del Arco-Osuna; Bernat Fornés; R. G. Crespo; J. Martín-Álvarez; | Int. J. Interact. Multim. Artif. Intell. | 2023-01-01 |
| 176 | Foreign Bodies Detector Based on DETR for High-Resolution X-Ray Images of Textiles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Foreign bodies (FBs) detection for X-ray images of textiles is a novel and challenging task. To solve the problem of poor performance of anchor-based detectors for FBs detection, … |
JIANG-WU DING et. al. | IEEE Transactions on Instrumentation and Measurement | 2023-01-01 |
| 177 | SRC: Superior Robustness of COVID-19 Detection from Noisy Cough Data Using GFCC Related Papers Related Patents Related Grants Related Venues Related Experts View |
Basanta Kumar Swain; Mohammad Zubair Khan; C. L. Chowdhary; A. Alsaeedi; | Comput. Syst. Sci. Eng. | 2023-01-01 |
| 178 | SD-GAN: A Style Distribution Transfer Generative Adversarial Network for Covid-19 Detection Through X-Ray Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Covid-19 pandemic is a prevalent health concern around the world in recent times. Therefore, it is essential to screen the infected patients at the primary stage to prevent … |
Tasleem Kausar; Yun Lu; Adeeba Kausar; Mustajab Ali; Adnan Yousaf; | IEEE Access | 2023-01-01 |
| 179 | A Novel Lightweight Swin-Unet Network for Semantic Segmentation of COVID-19 Lesion in CT Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Corona Virus Disease 2019 (COVID-19) is highly infectious, has been spread worldwide, caused a global pandemic, and seriously endangered human health and life. The most … |
Zhijun Gao; Yingyan He; Yi Li; | IEEE Access | 2023-01-01 |
| 180 | A Machine Learning-Sentiment Analysis on Monkeypox Outbreak: An Extensive Dataset to Show The Polarity of Public Opinion From Twitter Tweets IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Research on sentiment analysis has proven to be very useful in public health, particularly in analyzing infectious diseases. As the world recovers from the onslaught of the … |
Staphord Bengesi; T. Oladunni; R. Olusegun; Halima Audu; | IEEE Access | 2023-01-01 |
| 181 | CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: n/a … |
Deeksha Varshney; Aizan Zafar; Niranshu Behera; Asif Ekbal; | emnlp | 2022-12-30 |
| 182 | Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper takes a novel angle, namely, emotion detection and trigger summarization, aiming to both detect perceived emotions in text, and summarize events and their appraisals that trigger each emotion. To support this goal, we introduce CovidET (Emotions and their Triggers during Covid-19), a dataset of ~1,900 English Reddit posts related to COVID-19, which contains manual annotations of perceived emotions and abstractive summaries of their triggers described in the post. |
Hongli Zhan; Tiberiu Sosea; Cornelia Caragea; Junyi Jessy Li; | emnlp | 2022-12-30 |
| 183 | Sentiment Analysis of COVID-19 Public Activity Restriction (PPKM) Impact Using BERT Method Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study aims to analyze the mapping of public sentiment towards PPKM policies in Indonesia during the pandemic based on Twitter data. |
A. S. Girsang; | arxiv-cs.IR | 2022-12-30 |
| 184 | Multimodal Explainability Via Latent Shift Applied to COVID-19 Stratification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we present a deep architecture, explainable by design, which jointly learns modality reconstructions and sample classifications using tabular and imaging data. |
VALERIO GUARRASI et. al. | arxiv-cs.AI | 2022-12-28 |
| 185 | The Impact of COVID-19 on The CS Student Learning Experience: How The Pandemic Has Shaped The Educational Landscape IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Students have experienced incredible shifts in their learning environments, brought about by the response of universities to the ever-changing public health mandates driven by … |
A. SIEGEL et. al. | Proceedings of the 2022 Working Group Reports on Innovation … | 2022-12-27 |
| 186 | COVID Down Under: Where Did Australia’s Pandemic Apps Go Wrong? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However it is yet to absorb lessons from the technological issues with its approach to the pandemic. In this short paper we provide a systematization of the most notable events; identify and review different failure modes of these applications; and develop recommendations for developing apps in the face of future crises. |
Shaanan Cohney; Marc Cheong; | arxiv-cs.CR | 2022-12-23 |
| 187 | Reviewing Best Practices in Online Conferencing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This article reviews experiences organising and participating in virtual conferences during the COVID-19 pandemic between 2020-2021. |
Simone Ferlin; Oliver Hohlfeld; Vaibhav Bajpai; | arxiv-cs.NI | 2022-12-22 |
| 188 | Exploring Crowdsourced Content Moderation Through Lens of Reddit During COVID-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In 2020, when COVID-19 struck, social media gained even more influence in people’s lives due to increased online activity. This event led to a surge of false information and … |
Waleed Iqbal; M. H. Arshad; Gareth Tyson; Ignacio Castro; | Proceedings of the 17th Asian Internet Engineering … | 2022-12-19 |
| 189 | Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The COVID-19 pandemic created a deluge of questionable and contradictory scientific claims about drug efficacy — an infodemic with lasting consequences for science and society. In this work, we argue that NLP models can help domain experts distill and understand the literature in this complex, high-stakes area. |
Daniel N. Sosa; Malavika Suresh; Christopher Potts; Russ B. Altman; | arxiv-cs.CL | 2022-12-19 |
| 190 | Utilizing DistilBert Transformer Model for Sentiment Classification of COVID-19’s Persian Open-text Responses Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Due to this fact studying the sentiment of individuals is essential to be aware of the future impacts of the coming pandemics. To contribute to this aim, we proposed an NLP (Natural Language Processing) model to analyze open-text answers in a survey in Persian and detect positive and negative feelings of the people in Iran. |
Fatemeh Sadat Masoumi; Mohammad Bahrani; | arxiv-cs.CL | 2022-12-16 |
| 191 | Leveraging Wastewater Monitoring for COVID-19 Forecasting in The US: A Deep Learning Study Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes using deep learning to automatically discover the relationship between daily confirmed cases and viral load data. |
Mehrdad Fazli; Heman Shakeri; | arxiv-cs.LG | 2022-12-16 |
| 192 | Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Since early in the coronavirus disease 2019 (COVID-19) pandemic, there has been interest in using artificial intelligence methods to predict COVID-19 infection status based on vocal audio signals, for example cough recordings. |
DAVIDE PIGOLI et. al. | arxiv-cs.SD | 2022-12-15 |
| 193 | Audio-based AI Classifiers Show No Evidence of Improved COVID-19 Screening Over Simple Symptoms Checkers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We collect and analyse a dataset of audio recordings from 67,842 individuals with linked metadata, including reverse transcription polymerase chain reaction (PCR) test outcomes, of whom 23,514 tested positive for SARS CoV 2. |
HARRY COPPOCK et. al. | arxiv-cs.SD | 2022-12-15 |
| 194 | A Large-scale and PCR-referenced Vocal Audio Dataset for COVID-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or associated respiratory … |
JOBIE BUDD et. al. | arxiv-cs.SD | 2022-12-15 |
| 195 | A Survey on Data-driven COVID-19 and Future Pandemic Management Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic has resulted in more than 440 million confirmed cases globally and almost 6 million reported deaths as of March 2022. Consequently, the world experienced … |
YUDONG TAO et. al. | ACM Computing Surveys | 2022-12-15 |
| 196 | Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations’ COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yogesh Kumar; Apeksha Koul; Sukhpreet Kaur; Yu-Chen Hu; | Sn Computer Science | 2022-12-14 |
| 197 | Towards Reusable Building Blocks to Develop COVID-19 Simulation Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Modeling & Simulation has played an essential role in supporting the decision-making activities of policymakers for COVID-19. However, a proliferation of models has been noted in … |
Shane A. Schroeder; Christopher Vendome; P. Giabbanelli; Alan M. Montfort; | 2022 Winter Simulation Conference (WSC) | 2022-12-11 |
| 198 | Characterizing Human Collective Behaviours of COVID-19 in Hong Kong Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we offer a framework to evaluate interactions among individuals emotions, perception, and online behaviours in Hong Kong during the first two waves (February to June 2020) and found a strong correlation between online behaviours of Google search and the real-time reproduction numbers. |
ZHANWEI DU et. al. | arxiv-cs.SI | 2022-12-10 |
| 199 | A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a model that can propagate predictions further into the future and it has better edge representations. |
DANFENG GUO et. al. | arxiv-cs.LG | 2022-12-05 |
| 200 | COVID-19 Activity Risk Calculator As A Gamified Public Health Intervention Tool Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we demonstrate a streamlined, scalable and accurate COVID-19 risk calculation system. |
SHREYASVI NATRAJ et. al. | arxiv-cs.CY | 2022-12-05 |
| 201 | Multi-view Deep Learning Based Molecule Design and Structural Optimization Accelerates The SARS-CoV-2 Inhibitor Discovery Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose MEDICO, a Multi-viEw Deep generative model for molecule generation, structural optimization, and the SARS-CoV-2 Inhibitor disCOvery. |
CHAO PANG et. al. | arxiv-cs.LG | 2022-12-03 |
| 202 | A Multipopulation Multiobjective Ant Colony System Considering Travel and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As transportation system plays a vastly important role in combatting newly-emerging and severe epidemics like the coronavirus disease 2019 (COVID-19), the vehicle routing problem … |
JIAN-YU LI et. al. | IEEE Transactions on Intelligent Transportation Systems | 2022-12-01 |
| 203 | Exploring The Effect of Social Media Marketing and Destination Image on Destination Loyalty in Covid-19 Times: Sequential Mediating Role of Brand Love and Brand Loyalty IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The basic concern for the tourism sector is to retain customers during Covid-19 time. In this regard, it is important to examine the role of social media marketing and destination … |
A. Aljumah; M. Nuseir; Ghaleb A. El Refae; | 2022 International Arab Conference on Information … | 2022-11-22 |
| 204 | COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for COVID-19 Symptom Prediction and Recommendation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we introduce the design of COVID-Net Assistant, an efficient virtual assistant designed to provide symptom prediction and recommendations for COVID-19 by analyzing users’ cough recordings through deep convolutional neural networks. |
Pengyuan Shi; Yuetong Wang; Saad Abbasi; Alexander Wong; | arxiv-cs.LG | 2022-11-21 |
| 205 | Global Misinformation Spillovers in The Online Vaccination Debate Before and During COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we leverage 316 million vaccine-related Twitter messages in 18 languages, from October 2019 to March 2021, to quantify misinformation flows between users exposed to anti-vaccination (no-vax) content. |
JACOPO LENTI et. al. | arxiv-cs.SI | 2022-11-21 |
| 206 | Privacy in Practice: Private COVID-19 Detection in X-Ray Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Machine learning (ML) can help fight the COVID-19 pandemic by enabling rapid screening of large volumes of chest X-ray images. To perform such data analysis while maintaining … |
Lucas Lange; Maja Schneider; E. Rahm; | International Conference on Security and Cryptography | 2022-11-21 |
| 207 | Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version) Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To perform data analysis while maintaining patient privacy, we create ML models that satisfy Differential Privacy (DP). |
Lucas Lange; Maja Schneider; Peter Christen; Erhard Rahm; | arxiv-cs.LG | 2022-11-21 |
| 208 | From Fake News to #FakeNews: Mining Direct and Indirect Relationships Among Hashtags for Fake News Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a method to infer news credibility from hashtags involved in news dissemination on social media, motivated by the tight connection between hashtags and news credibility observed in our empirical analyses. |
Xinyi Zhou; Reza Zafarani; Emilio Ferrara; | arxiv-cs.SI | 2022-11-20 |
| 209 | Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For this purpose, we design a method that converts the protein (spike) sequences into the sequence similarity network (SSN). |
Sarwan Ali; | arxiv-cs.LG | 2022-11-18 |
| 210 | Public Health Policy Monitoring Through Public Perceptions: A Case of COVID-19 Tweet Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Since the start of the COVID-19 pandemic, government authorities have responded by issuing new public health policies, many of which were intended to contain its spread but ended … |
Chih-yuan Li; Michael Renda; F. Yusuf; J. Geller; Soon Ae Chun; | Inf. | 2022-11-16 |
| 211 | Coronavirus Statistics Causes Emotional Bias: A Social Media Text Mining Perspective Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The empirical study demonstrates while the number of local cases is positively associated with risk perception, the number of imported cases is negatively associated with confidence levels, which explains why citizens tend to ascribe the protracted pandemic to foreign factors. |
Linjiang Guo; Zijian Feng; Yuxue Chi; Mingzhu Wang; Yijun Liu; | arxiv-cs.CY | 2022-11-15 |
| 212 | Findings of The Covid-19 MLIA Machine Translation Task Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents the results of the machine translation (MT) task from the Covid-19 MLIA @ Eval initiative, a community effort to improve the generation of MT systems focused on the current Covid-19 crisis. |
FRANCISCO CASACUBERTA et. al. | arxiv-cs.CL | 2022-11-14 |
| 213 | An Interpretable Hybrid Predictive Model of COVID-19 Cases Using Autoregressive Model and LSTM Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The extremely large scale of the pandemic and the intrinsically changing transmission characteristics pose great challenges for effective COVID-19 case prediction. To address this challenge, we propose a novel hybrid model in which the interpretability of the Autoregressive model (AR) and the predictive power of the long short-term memory neural networks (LSTM) join forces. |
Yangyi Zhang; Sui Tang; Guo Yu; | arxiv-cs.LG | 2022-11-14 |
| 214 | DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fast screening and diagnosis are critical in COVID-19 patient treatment. In addition to the gold standard RT-PCR, radiological imaging like X-ray and CT also works as an important … |
XIAN WU et. al. | ArXiv | 2022-11-12 |
| 215 | How Much Hate with #china? A Preliminary Analysis on China-related Hateful Tweets Two Years After The Covid Pandemic Began Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This research intends to examine China-related hate speech on Twitter during the two years following the burst of the pandemic (2020 and 2021). |
Jinghua Xu; Zarah Weiss; | arxiv-cs.CL | 2022-11-11 |
| 216 | #WashTheHate: Understanding The Prevalence of Anti-Asian Prejudice on Twitter During The COVID-19 Pandemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Prejudice and hate directed toward Asian individuals has increased in prevalence and salience during the COVID-19 pandemic, with notable rises in physical violence. Concurrently, … |
BRITTANY WHEELER et. al. | 2022 IEEE/ACM International Conference on Advances in … | 2022-11-10 |
| 217 | COV19IR : COVID-19 Domain Literature Information Retrieval Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on transformer neural network, we provided solutions to implement the tasks on CORD-19 dataset, we display some examples to show the effectiveness of our proposed solutions. |
Arusarka Bose; Zili Zhou; Guandong Xu; | arxiv-cs.IR | 2022-11-08 |
| 218 | Bridging The Social Distance: Offline to Online Social Support During The COVID-19 Pandemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The severe impact of COVID-19 in the United States has forced many students to replace in-person socialization with online digital contact. In this study, we investigate the … |
Gabriela Hoefer; Talie Massachi; Neil G. Xu; N. Nugent; Jeff Huang; | Proceedings of the ACM on Human-Computer Interaction | 2022-11-07 |
| 219 | A Survey on Computer Vision Based Human Analysis in The COVID-19 Era Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Such computer vision based human analysis techniques include face and face-mask detection approaches, face recognition techniques, crowd counting solutions, age and expression estimation procedures, models for detecting face-hand interactions and many others, and have seen considerable attention over recent years. The goal of this survey is to provide an introduction to the problems induced by COVID-19 into such research and to present a comprehensive review of the work done in the computer vision based human analysis field. |
FEVZIYE IREM EYIOKUR et. al. | arxiv-cs.CV | 2022-11-07 |
| 220 | METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we release METS-CoV, a dataset containing medical entities and targeted sentiments from COVID-19 related tweets. |
PEILIN ZHOU et. al. | nips | 2022-11-06 |
| 221 | BERT-deep CNN: State of The Art for Sentiment Analysis of COVID-19 Tweets Related Papers Related Patents Related Grants Related Venues Related Experts View |
JAVAD HASSANNATAJ JOLOUDARI et. al. | Social Network Analysis and Mining | 2022-11-04 |
| 222 | BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The superiority of BERT models over other deep models in sentiment analysis is evident and can be concluded from the comparison of the various research studies mentioned in this article. |
JAVAD HASSANNATAJ JOLOUDARI et. al. | arxiv-cs.CL | 2022-11-04 |
| 223 | Bias-Aware Face Mask Detection Dataset Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a novel face mask detection dataset that contains images posted on Twitter during the pandemic from around the world. |
Alperen Kantarcı; Ferda Ofli; Muhammad Imran; Hazım Kemal Ekenel; | arxiv-cs.CV | 2022-11-02 |
| 224 | Forecasting Patient Flows with Pandemic Induced Concept Drift Using Explainable Machine Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study investigates how a suite of novel quasi-real-time variables like Google search terms, pedestrian traffic, the prevailing incidence levels of influenza, as well as the COVID-19 Alert Level indicators can both generally improve the forecasting models of patient flows and effectively adapt the models to the unfolding disruptions of pandemic conditions. |
Teo Susnjak; Paula Maddigan; | arxiv-cs.LG | 2022-11-01 |
| 225 | Computational Investigation of Natural Compounds As Potential Main Protease (Mpro) Inhibitors for SARS-CoV-2 Virus IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
C. Patel; S. Jani; P. Sivakumar; Krunal M. Modi; Y. Kumar; | Computers in Biology and Medicine | 2022-11-01 |
| 226 | How to Promote Public Engagement and Enhance Sentiment Through Government Social Media During The COVID-19 Crisis: A Public Value Management Perspective Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the period of public health crisis, effective and efficient transmission of crisis information to the public through social media is an important support for achieving social … |
Lianren Wu; Jinjie Li; J. Qi; Nan Shi; Hongmiao Zhu; | J. Organ. End User Comput. | 2022-11-01 |
| 227 | Spatial-Temporal Synchronous Graph Transformer Network (STSGT) for COVID-19 Forecasting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel Spatial-Temporal Synchronous Graph Transformer network (STSGT) to capture the complex spatial and temporal dependency of the COVID-19 time series data and forecast the future status of an evolving pandemic. |
Soumyanil Banerjee; Ming Dong; Weisong Shi; | arxiv-cs.LG | 2022-10-31 |
| 228 | Stability and Sensitivity Analysis of The COVID-19 Spread with Comorbid Diseases Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This research investigates a model of the spread of COVID-19 in Indonesia by paying attention to comorbid disease, self-quarantine, government-provided quarantine, and vaccination … |
J. Nainggolan; Moch. Fandi Ansori; | Symmetry | 2022-10-29 |
| 229 | Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19 IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose contrastive adaptation network for early misinformation detection (CANMD). |
Zhenrui Yue; Huimin Zeng; Ziyi Kou; Lanyu Shang; Dong Wang; | cikm | 2022-10-29 |
| 230 | Audio MFCC-gram Transformers for Respiratory Insufficiency Detection in COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work explores speech as a biomarker and investigates the detection of respiratory insufficiency (RI) by analyzing speech samples. |
Marcelo Matheus Gauy; Marcelo Finger; | arxiv-cs.SD | 2022-10-25 |
| 231 | Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, the histogram-based gradient-boosting (HGB) model was the most successful machine-learning classifier in detecting living and deceased COVID-19 patients (with squared F1 metrics F1^2 = 1). |
Mehmet Tahir Huyut; Andrei Velichko; Maksim Belyaev; | arxiv-cs.LG | 2022-10-22 |
| 232 | Covid-19 Detection Based-On CT-Scan Images Using Inception Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The SARS-Cov-2 strain caused COVID-19, inflicting mild to moderate respiratory problems. The spread of COVID-19 is extremely fast which has resulted in the number of victims who … |
S. Riyadi; Tety Dwi Septiari; Cahya Damarjati; S. Ramli; | 2022 IEEE 12th International Conference on Control System, … | 2022-10-21 |
| 233 | Social Media App Usage in Relation with PHQ-9 Depression Scores During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigated the relationship between the use of social media and communication apps and depressive symptoms during the COVID-19 pandemic. |
Lena Mulansky; Rüdiger Pryss; Caroline Cohrdes; Harald Baumeister; Felix Beierle; | arxiv-cs.CY | 2022-10-17 |
| 234 | Network-Side Digital Contact Tracing on A Large University Campus Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe a study conducted at a large public university campus in the United States which shows the efficacy of network log information for digital contact tracing and prediction of COVID-19 cases. |
Matthew L. Malloy; Lance Hartung; Steve Wangen; Suman Banerjee; | mobicom | 2022-10-16 |
| 235 | Urban Form and COVID-19 Cases and Deaths in Greater London: An Urban Morphometric Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we explore COVID-19 and urban form in Greater London, relating a comprehensive set of morphometric descriptors (including built-up density) to COVID-19 deaths and cases, while controlling for socioeconomic, ethnicity, age, and co-morbidity. |
Alessandro Venerandi; Luca Maria Aiello; Sergio Porta; | arxiv-cs.CY | 2022-10-16 |
| 236 | Failure Analysis of Big Cloud Service Providers Prior to and During Covid-19 Period Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cloud services are important for societal function such as healthcare, commerce, entertainment and education. Cloud can provide a variety of features such as increased … |
Muhammad Ahsan; Sacheendra Talluri; Alexandru Iosup; | arxiv-cs.DC | 2022-10-15 |
| 237 | Artificial Intelligence and Renegotiation of Commercial Lease Contracts Affected By Pandemic-related Contingencies from Covid-19. The Project A.I.A.Co Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper aims to investigate the possibility of using artificial intelligence (AI) to resolve the legal issues raised by the Covid-19 emergency about the fate of continuing execution contracts, or those with deferred or periodic execution, as well as, more generally, to deal with exceptional events and contingencies. |
MAURIZIO PARTON et. al. | arxiv-cs.AI | 2022-10-14 |
| 238 | The COVID That Wasn’t: Counterfactual Journalism Using GPT Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we explore the use of large language models to assess human interpretations of real world events. To do so, we use a language model trained prior to 2020 to … |
S. Hamilton; Andrew Piper; | ArXiv | 2022-10-13 |
| 239 | ST-former for Short-term Passenger Flow Prediction During COVID-19 in Urban Rail Transit System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: How to dynamically model the complex spatiotemporal dependencies of passenger flow is the main issue in achieving accurate passenger flow prediction during the epidemic. To solve this issue, this paper proposes a brand-new transformer-based architecture called STformer under the encoder-decoder framework specifically for COVID-19. |
Shuxin Zhang; Jinlei Zhang; Lixing Yang; Chengcheng Wang; Ziyou Gao; | arxiv-cs.LG | 2022-10-13 |
| 240 | Exporting Geography Into A Virtual Landscape: A Global Pandemic Locally Discussed Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This provides an opportunity to study how the real-world geography of the pandemic translates into a virtual landscape. By analyzing almost 300 geographically-linked COVID discussion communities on Reddit, we show how these discussions were organized geographically and temporally in three aspects: what were people talking about, who were they talking about it with, and how did they self-organize these conversations? |
Katherine Van Koevering; Yiquan Hong; Jon Kleinberg; | arxiv-cs.SI | 2022-10-13 |
| 241 | The COVID That Wasn’t: Counterfactual Journalism Using GPT Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore the use of large language models to assess human interpretations of real world events. |
Sil Hamilton; Andrew Piper; | arxiv-cs.CL | 2022-10-12 |
| 242 | Not Good Times for Lies: Misinformation Detection on The Russia-Ukraine War, COVID-19, and Refugees Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we construct a novel dataset, called MiDe-22, having 5,284 English and 5,064 Turkish tweets with their misinformation labels under several recent events, including the Russia-Ukraine war, COVID-19 pandemic, and Refugees. |
Cagri Toraman; Oguzhan Ozcelik; Furkan Şahinuç; Fazli Can; | arxiv-cs.SI | 2022-10-11 |
| 243 | COVID-19-related Nepali Tweets Classification in A Low Resource Setting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we identify the eight most common COVID-19 discussion topics among the Twitter community using the Nepali language, set up an online platform to automatically gather Nepali tweets containing the COVID-19-related keywords, classify the tweets into the eight topics, and visualize the results across the period in a web-based dashboard. |
RABIN ADHIKARI et. al. | arxiv-cs.CL | 2022-10-11 |
| 244 | A Fairness Assessment of Mobility-based COVID-19 Case Prediction Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To test our hypothesis, we applied two mobility-based COVID infection prediction models at the county level in the United States using SafeGraph data, and correlated model performance with sociodemographic traits. |
Abdolmajid Erfani; Vanessa Frias-Martinez; | arxiv-cs.CY | 2022-10-07 |
| 245 | Interpreting County Level COVID-19 Infection and Feature Sensitivity Using Deep Learning Time Series Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel framework that uses deep learning to study feature sensitivity for model predictions. |
MD KHAIRUL ISLAM et. al. | arxiv-cs.LG | 2022-10-06 |
| 246 | Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the real-world application of COVID-19 misinformation detection, a fundamental challenge is the lack of the labeled COVID data to enable supervised end-to-end training of the models, especially at the early stage of the pandemic. To address this challenge, we propose an unsupervised domain adaptation framework using contrastive learning and adversarial domain mixup to transfer the knowledge from an existing source data domain to the target COVID-19 data domain. |
HUIMIN ZENG et. al. | arxiv-cs.CL | 2022-10-06 |
| 247 | Continuous Diagnosis and Prognosis By Controlling The Update Process of Deep Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although deep learning methods have shown their great superiority in many medical tasks, they tend to catastrophically forget, over fit, and get results too late when performing diagnosis and prognosis in the continuous mode. In this work, we summarized the three requirements of this task, proposed a new concept, continuous classification of time series (CCTS), and designed a novel model training method, restricted update strategy of neural networks (RU). |
CHENXI SUN et. al. | arxiv-cs.LG | 2022-10-06 |
| 248 | Infectious Probability Analysis on COVID-19 Spreading with Wireless Edge Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we aim to investigate the prediction of the infectious probability and propose precautionary measures against COVID-19 with the assistance of wireless edge networks. |
Xuran Li; Shuaishuai Guo; Hong-Ning Dai; Dengwang Li; | arxiv-cs.SI | 2022-10-05 |
| 249 | Analyzing Historical Diagnosis Code Data from NIH N3C and RECOVER Programs Using Deep Learning to Determine Risk Factors for Long Covid Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an interpretable deep learning approach to analyze historical diagnosis code data from the National COVID Cohort Collective (N3C) to find the risk factors contributing to developing Long COVID. |
SAURAV SENGUPTA et. al. | arxiv-cs.LG | 2022-10-05 |
| 250 | A Collaborative Approach to The Analysis of The COVID-19 Response in Africa Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper demonstrates a cross-border collaborative capacity building approach to the application of machine learning techniques in discovering answers to COVID-19 questions. |
SHARON OKWAKO et. al. | arxiv-cs.LG | 2022-10-04 |
| 251 | Quantifying COVID-19 Transmission Risks Based on Human Mobility Data: A Personalized PageRank Approach for Efficient Contact-tracing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Personalized PageRank (PPR) method to estimate COVID-19 transmission risks based on a bipartite network of people and locations. |
Jiali Zhou; Zhan Zhao; Jiangping Zhou; | arxiv-cs.SI | 2022-10-03 |
| 252 | Blockchain Security Using Merkle Hash Zero Correlation Distinguisher for The IoT in Smart Cities Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Internet of Things (IoT) data is one of the most important assets in business models for offering various ubiquitous and brilliant services. The IoT is provided with the advantage … |
RIZWAN PATAN et. al. | IEEE Internet of Things Journal | 2022-10-01 |
| 253 | Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we propose a hierarchical NP (H-NP) framework and an umbrella algorithm that generally adapts to popular classification methods and controls the under-classification errors with high probability. |
Lijia Wang; Y. X. Rachel Wang; Jingyi Jessica Li; Xin Tong; | arxiv-cs.LG | 2022-10-01 |
| 254 | Vision Transformer Based COVID-19 Detection Using Chest CT-scan Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The fast proliferation of the coronavirus around the globe has put several countries’ healthcare systems in danger of collapsing. As a result, locating and separating … |
P. Sahoo; S. Saha; S. Mondal; Suraj Gowda; | 2022 IEEE-EMBS International Conference on Biomedical and … | 2022-09-27 |
| 255 | How Generalizable and Interpretable Are Speech-Based COVID-19 Detection Systems?: A Comparative Analysis and New System Proposal Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent work has shown the potential of using speech signals for remote detection of coronavirus disease 2019 (COVID-19). Due to the limited amount of available data, however, … |
Yilun Zhu; A. Mariakakis; E. de Lara; T. Falk; | 2022 IEEE-EMBS International Conference on Biomedical and … | 2022-09-27 |
| 256 | Software Engineering After The COVID-19 Outbreak Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Software Engineering (SE) has evolved over many decades and has led to many proven and well-established methods and tools that support the efficient development of software and IT … |
Uwe Breitenbücher; Stefano Forti; J. Soldani; | ACM SIGSOFT Software Engineering Notes | 2022-09-27 |
| 257 | LitCovid in 2022: An Information Resource for The COVID-19 Literature Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response to the continuing evolution of the COVID-19 pandemic, this article describes significant updates to LitCovid over the last two years. |
QINGYU CHEN et. al. | arxiv-cs.DL | 2022-09-27 |
| 258 | 5-Star Hotel Customer Satisfaction Analysis Using Hybrid Methodology Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We applied a method to find factors for customer satisfaction by mixing and using the data mining technique, which is a big data analysis method, and the natural language processing technique, which is a language processing method, in our research. |
Yongmin Yoo; Yeongjoon Park; Dongjin Lim; Deaho Seo; | arxiv-cs.AI | 2022-09-26 |
| 259 | A Distributed Digital Twin Implementation of A Hemodialysis Unit Aimed at Helping Prevent The Spread of The Omicron COVID-19 Variant Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to monitor and assess the spread of the Omicron variant of COVID-19, we propose a Distributed Digital Twin that virtually mirrors a hemodialysis unit in a hospital in … |
J. POSSIK et. al. | 2022 IEEE/ACM 26th International Symposium on Distributed … | 2022-09-26 |
| 260 | Tracking The State and Behavior of People in Response to COVID-1 19 Through The Fusion of Multiple Longitudinal Data Streams Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here we describe a rich panel dataset of active and passive data from U.S. residents collected between August 2020 and July 2021. |
MOHAMED AMINE BOUZAGHRANE et. al. | arxiv-cs.CY | 2022-09-23 |
| 261 | Adaptation of Domain-specific Transformer Models with Text Oversampling for Sentiment Analysis of Social Media Posts on Covid-19 Vaccines Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically, we use the recently introduced state-of-the-art pre-trained transformer models RoBERTa, XLNet and BERT, and the domain-specific transformer models CT-BERT and BERTweet that are pre-trained on Covid-19 tweets. |
Anmol Bansal; Arjun Choudhry; Anubhav Sharma; Seba Susan; | arxiv-cs.CL | 2022-09-22 |
| 262 | This Is What A Pandemic Looks Like: Visual Framing of COVID-19 on Search Engines Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In our paper, we conduct a comparative audit of how different search engines prioritize visual information related to COVID-19 and what consequences it has for the representation of the pandemic. |
Mykola Makhortykh; Aleksandra Urman; Roberto Ulloa; | arxiv-cs.IR | 2022-09-22 |
| 263 | Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Within such research space, we conducted a case study related to the Intensive Care Unit (ICU) ward of the Uniklinik Aachen hospital in Germany. The aim of this work is twofold: developing a normative model representing the clinical guidelines for the treatment of COVID-19 patients, and analyzing the adherence of the observed behavior (recorded in the information system of the hospital) to such guidelines. |
ELISABETTA BENEVENTO et. al. | arxiv-cs.DB | 2022-09-22 |
| 264 | A Comparison of Students’ Learning Behaviors and Performance Among Pre, During and Post COVID-19 Pandemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The advent of the COVID-19 pandemic fundamentally changed humans’ lifestyle, especially in the education sector. Educators and learners have to shift from traditional face-to-face … |
Yong Zheng; Shuai Zheng; | Proceedings of the 23rd Annual Conference on Information … | 2022-09-21 |
| 265 | Effects of Online Self-Disclosure on Social Feedback During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate relationships between online self-disclosure and received social feedback during the COVID-19 crisis. |
Jooyoung Lee; Sarah Rajtmajer; Eesha Srivatsavaya; Shomir Wilson; | arxiv-cs.SI | 2022-09-21 |
| 266 | The Morbid Realities of Social Media: An Investigation Into The Misinformation Shared By The Deceased Victims of COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we study a unique dataset of Facebook posts by users who shared and believed in Covid-19 misinformation before succumbing to Covid-19 often resulting in death. |
Hussam Habib; Rishab Nithyanand; | arxiv-cs.CY | 2022-09-20 |
| 267 | Comprehensively Identifying Long Covid Articles with Human-in-the-loop Machine Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We developed an iterative human-in-the-loop machine learning framework combining data programming with active learning into a robust ensemble model, demonstrating higher specificity and considerably higher sensitivity than other methods. |
ROBERT LEAMAN et. al. | arxiv-cs.LG | 2022-09-16 |
| 268 | A New Emergency-Risk-Evaluation Approach Under Spherical Fuzzy-Information Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When major emergencies or accidents occur, risk evaluation and prediction are the most important means to reduce their impact. Typical risk evaluation uses the failure mode and … |
Kuei-Hu Chang; | Axioms | 2022-09-16 |
| 269 | Triggers and Tweets: Implicit Aspect-Based Sentiment and Emotion Analysis of Community Chatter Relevant to Education Post-COVID-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This research proposes a well-being analytical framework using social media chatter data. The proposed framework infers analytics and provides insights into the public’s … |
Heba M. Ismail; Ashraf Khalil; Nada Hussein; Rawan Elabyad; | Big Data Cogn. Comput. | 2022-09-16 |
| 270 | A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing The Best Model for COVID-19 Prognosis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic has posed a heavy burden to the healthcare system worldwide and caused huge social disruption and economic loss. Many deep learning models have been proposed … |
JUNYI GAO et. al. | ArXiv | 2022-09-16 |
| 271 | Mobile-Based COVID-19 Vaccination Registration Application Prototype Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, the InVision design tool is used which can help design prototypes for both mobile and web versions. |
Leon A. Abdillah; Azka Kurniasti; | arxiv-cs.HC | 2022-09-16 |
| 272 | A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose fair, detailed, open-source data-preprocessing pipelines and evaluate 17 state-of-the-art predictive models on two tasks, including 5 machine learning models, 6 basic deep learning models and 6 deep learning predictive models specifically designed for EHR data. |
JUNYI GAO et. al. | arxiv-cs.LG | 2022-09-16 |
| 273 | UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Language Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Besides, the misleading information in the community and fake news about the pandemic are also serious situations. Therefore, we present the first Vietnamese community-based question answering dataset for developing question answering systems for COVID-19 called UIT-ViCoV19QA. |
Triet Minh Thai; Ngan Ha-Thao Chu; Anh Tuan Vo; Son T. Luu; | arxiv-cs.CL | 2022-09-14 |
| 274 | Understanding Stay-at-home Attitudes Through Framing Analysis of Tweets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, little is known about the attitudes towards stay-at-home orders expressed on social media despite the fact that social media are central platforms for expressing and debating personal attitudes. To address this gap, we analyze the prevalence and framing of attitudes towards stay-at-home policies, as expressed on Twitter in the early months of the pandemic. |
ZAHRA FATEMI et. al. | arxiv-cs.SI | 2022-09-13 |
| 275 | CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets Using Deep Learning Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This research presents the CovidMis20 dataset (COVID-19 Misinformation 2020 dataset), which consists of 1,375,592 tweets collected from February to July 2020. |
AOS MULAHUWAISH et. al. | arxiv-cs.LG | 2022-09-12 |
| 276 | Doctors Vs. Nurses: Understanding The Great Divide in Vaccine Hesitancy Among Healthcare Workers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We intend to verify and study this phenomenon at a much larger scale and in fine grain using social media data, which has been effectively and efficiently leveraged by researchers to address real-world issues during the COVID-19 pandemic. More specifically, we use a keyword search to identify healthcare workers and further classify them into doctors and nurses from the profile descriptions of the corresponding Twitter users. |
Sajid Hussain Rafi Ahamed; Shahid Shakil; Hanjia Lyu; Xinping Zhang; Jiebo Luo; | arxiv-cs.SI | 2022-09-11 |
| 277 | People Detection and Social Distancing Classification in Smart Cities for COVID-19 By Using Thermal Images and Deep Learning Algorithms Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Coronavirus is primarily spread between people during close contact. Motivating to this notion, this research proposes an artificial intelligence system for social distancing classification of persons by using thermal images. |
Abdussalam Elhanashi; Sergio Saponara; Alessio Gagliardi; | arxiv-cs.CV | 2022-09-10 |
| 278 | Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we consider a more realistic scenario on stance detection (i.e., cross-target and zero-shot settings) for the pandemic and propose an adversarial learning-based stance classifier to automatically identify the public’s attitudes toward COVID-19-related health policies. |
FENG XIE et. al. | arxiv-cs.CL | 2022-09-10 |
| 279 | A Semi-Supervised Algorithm for Improving The Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we use a semi-supervised learning (SSL) approach to improve the labeling consistency of the COUGHVID dataset and the robustness of COVID-19 versus healthy cough sound classification. |
Lara Orlandic; Tomas Teijeiro; David Atienza; | arxiv-cs.SD | 2022-09-09 |
| 280 | Developing A Multi-variate Prediction Model for The Detection of COVID-19 from Crowd-sourced Respiratory Voice Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our aim is to develop a deep learning model identifying COVID-19 using voice data recordings spontaneously provided by the general population (voice recordings and a short questionnaire) via their personal devices. |
Wafaa Aljbawi; Sami O. Simmons; Visara Urovi; | arxiv-cs.SD | 2022-09-08 |
| 281 | 5q032e@SMM4H’22: Transformer-based Classification of Premise in Tweets Related to COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, the authors propose the predictive model based on transformer architecture to classify the presence of premise in Twitter texts. |
Vadim Porvatov; Natalia Semenova; | arxiv-cs.CL | 2022-09-08 |
| 282 | Machine Learning-based Automatic Annotation and Detection of COVID-19 Fake News Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Most work on misinformation detection uses manually labeled datasets that are hard to scale for building their predictive models. In this research, we overcome this challenge of data scarcity by proposing an automated approach for labeling data using verified fact-checked statements on a Twitter dataset. |
MOHAMMAD MAJID AKHTAR et. al. | arxiv-cs.SI | 2022-09-07 |
| 283 | Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, 13 popular classifier machine learning models and the LogNNet neural network model were exanimated. |
Andrei Velichko; Mehmet Tahir Huyut; Maksim Belyaev; Yuriy Izotov; Dmitry Korzun; | arxiv-cs.LG | 2022-09-07 |
| 284 | Assessing The Causal Impact of Online Instruction Due to COVID-19 on Students’ Grades and Its Aftermath on Grade Prediction Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic forced many educational institutions to transition to online learning activities. This significantly impacted various aspects of students’ lives. Many of the … |
OSCAR BLESSED DEHO et. al. | Proceedings of the 2022 ACM Conference on Information … | 2022-09-07 |
| 285 | Cellular-Assisted, Deep Learning Based COVID-19 Contact Tracing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Coronavirus disease (COVID-19) pandemic has caused social and economic crisis to the globe. Contact tracing is a proven effective way of containing the spread of COVID-19. In … |
Fan Yi; Yaxiong Xie; Kyle Jamieson; | Proceedings of the ACM on Interactive, Mobile, Wearable and … | 2022-09-06 |
| 286 | Impact Analysis of Recovery Cases Due to COVID19 Using LSTM Deep Learning Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper is trying to make prognosis of the coronavirus recovery cases using LSTM (Long Short Term Memory). |
Md Ershadul Haque; Samiul Hoque; | arxiv-cs.LG | 2022-09-05 |
| 287 | One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study explores COVID-19 vaccine misinformation circulating on Twitter during 2021, when vaccines were being released to the public in an effort to mitigate the global pandemic. |
FRANCESCO PIERRI et. al. | arxiv-cs.SI | 2022-09-04 |
| 288 | Scalable Adversarial Attack Algorithms on Influence Maximization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study the adversarial attacks on influence maximization under dynamic influence propagation models in social networks. |
Lichao Sun; Xiaobin Rui; Wei Chen; | arxiv-cs.SI | 2022-09-02 |
| 289 | Interpretable Operations Research for High-Stakes Decisions: Designing The Greek COVID-19 Testing System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the summer of 2020, in collaboration with the Greek government, we designed and deployed Eva—the first national-scale, reinforcement learning system for targeted COVID-19 … |
HAMSA BASTANI et. al. | INFORMS J. Appl. Anal. | 2022-09-01 |
| 290 | Demystifying The COVID-19 Vaccine Discourse on Twitter Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We train a stance detection algorithm using natural language processing (NLP) techniques to classify tweets as `anti-vax’ or `pro-vax’, and examine the main topics of discourse using topic modelling techniques. |
ZAINAB ZAIDI et. al. | arxiv-cs.SI | 2022-08-29 |
| 291 | Multi-dimensional Racism Classification During COVID-19: Stigmatization, Offensiveness, Blame, and Exclusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Transcending the binary categorization of racist texts, our study takes cues from social science theories to develop a multi-dimensional model for racism detection, namely stigmatization, offensiveness, blame, and exclusion. |
Xin Pei; Deval Mehta; | arxiv-cs.CY | 2022-08-28 |
| 292 | YouTube COVID-19 Vaccine Misinformation on Twitter: Platform Interactions and Moderation Blind Spots Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study explores the relationship between Twitter and YouTube in spreading COVID-19 vaccine-related misinformation through a mixed-methods approach to analyzing a collection of tweets in 2021 sharing YouTube videos where those Twitter accounts had also linked to deleted YouTube videos. |
David S. Axelrod; Brian P. Harper; John C. Paolillo; | arxiv-cs.SI | 2022-08-27 |
| 293 | Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we develop two sets of high-performance risk scores: (i) an unconstrained model built from all available features; and (ii) a pipeline that learns a small set of clinical concepts before training a risk predictor. |
HELEN ZHOU et. al. | arxiv-cs.LG | 2022-08-27 |
| 294 | A Scalable Pipeline for COVID-19: The Case Study of Germany, Czechia and Poland Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In building the forecasting models, continuously updated datasets from various stakeholders including developers, analysts, and testers are required to provide precise predictions. |
WILDAN ABDUSSALAM et. al. | arxiv-cs.DB | 2022-08-27 |
| 295 | Citation Advantage of COVID-19-related Publications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the global spread of the COVID-19 pandemic, scientists from various disciplines responded quickly to this historical public health emergency. The sudden boom of … |
Weishu Liu; Xuping Huangfu; Haifeng Wang; | Journal of Information Science | 2022-08-25 |
| 296 | Citation Advantage of COVID-19 Related Publications Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The sudden boom of COVID-19 related papers in a short period of time may bring unexpected influence to some commonly used bibliometric indicators. By a large-scale investigation using Science Citation Index Expanded and Social Sciences Citation Index, this brief communication confirms the citation advantage of COVID-19 related papers empirically through the lens of Essential Science Indicators’ highly cited paper. |
Weishu Liu; Xuping Huangfu; Haifeng Wang; | arxiv-cs.DL | 2022-08-25 |
| 297 | Cyber-Security Culture Assessment in Academia: A COVID-19 Study: Applying A Cyber-Security Culture Framework to Assess The Academia’s Resilience and Readiness Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Times of crisis have long been combined with an increase in cybercrime, exploiting the general instability; therefore, in such times, systems and infrastructures face greater … |
A. Georgiadou; Ariadni Michalitsi-Psarrou; D. Askounis; | Proceedings of the 17th International Conference on … | 2022-08-23 |
| 298 | Visual Exploratory Data Analysis of The Covid-19 Vaccination Progress in Nigeria Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a visual Exploratory Data Analysis of the covid-19 vaccination progress in Nigeria using the R-tidyverse package in R studio IDE for data cleaning & analysis, and Tableau for the visualizations. |
Ugochukwu Orji; Chikodili Ugwuishiwu; Mathew Okoronkwo; Caroline Asogwa; Nnaemeka Ogbene; | arxiv-cs.CY | 2022-08-20 |
| 299 | Blockchain Based Digital Vaccine Passport Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To reduce time and effort spent managing data, the vaccination passport system has been digitalized. |
Ms. Megha Rani R; Roshan R Acharya; Ranjith K; Rakshith Ay Gowda; | arxiv-cs.CR | 2022-08-18 |
| 300 | Comparing Interpretable AI Approaches for The Clinical Environment: An Application to COVID-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Machine Learning (ML) models play an important role in healthcare thanks to their remarkable performance in predicting complex phenomena. During the COVID-19 pandemic, different … |
MOHSEN ABBASPOUR ONARI et. al. | 2022 IEEE Conference on Computational Intelligence in … | 2022-08-15 |
| 301 | Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, to predict the multiwave pandemic, we propose a Social Awareness-Based Graph Neural Network (SAB-GNN) that considers the decay of symptom-related web search frequency to capture the changes in public awareness across multiple waves. |
Jiawei Xue; Takahiro Yabe; Kota Tsubouchi; Jianzhu Ma; Satish Ukkusuri; | kdd | 2022-08-12 |
| 302 | CoViT: Real-time Phylogenetics for The SARS-CoV-2 Pandemic Using Vision Transformers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We make CoViT available to research community through GitHub: https://github.com/zuherJahshan/covit. |
Zuher Jahshan; Can Alkan; Leonid Yavits; | arxiv-cs.LG | 2022-08-09 |
| 303 | Bridging The Gap: Commonality and Differences Between Online and Offline COVID-19 Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on the novel problem of bridging the gap between online and offline data by monitoring their common and distinct topics generated over time. |
Nayoung Kim; Ahmadreza Mosallanezhad; Lu Cheng; Baoxin Li; Huan Li; | arxiv-cs.SI | 2022-08-08 |
| 304 | Improving Vaccine Stance Detection By Combining Online and Offline Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Communication during the pandemic is typically done via online and offline sources, which provide two complementary avenues for detecting vaccine stance. Therefore, this paper aims to (1) study the importance of integrating online and offline data to vaccine stance detection; and (2) identify the critical online and offline attributes that influence an individual’s vaccine stance. |
Anique Tahir; Lu Cheng; Paras Sheth; Huan Liu; | arxiv-cs.SI | 2022-08-08 |
| 305 | Using Natural Language Processing on Free-text Clinical Notes to Identify Patients with Long-term COVID Effects Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As of May 15th, 2022, the novel coronavirus SARS-COV-2 has infected 517 million people and resulted in more than 6.2 million deaths around the world. About 40% to 87% of patients … |
YUANDA ZHU et. al. | Proceedings of the 13th ACM International Conference on … | 2022-08-07 |
| 306 | Hierarchical Multi-modal Transformer for Automatic Detection of COVID-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automated COVID-19 detection based on analysis of cough recordings has been an important field of study, as efficient and accurate methods are necessary to contain the spread of … |
Shuyun Tang; Xinying Hu; L. Atlas; Amil Khanzada; Mert Pilanci; | Proceedings of the 2022 5th International Conference on … | 2022-08-04 |
| 307 | To Teach or Not to Teach: An International Study of Language Teachers’ Experiences of Online Teaching During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View |
C. Kwee; | Sn Computer Science | 2022-08-04 |
| 308 | Scalable Computational Algorithms for Geo-spatial Covid-19 Spread in High Performance Computing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Finer resolutions in the spatial discretization, the inclusion of additional model compartments and model stratifications based on clinically relevant categories contribute to an increase in the number of unknowns to the order of millions. We adopt a parallel scalable solver allowing faster solutions for these high fidelity models. |
SUDHI P. V. et. al. | arxiv-cs.CE | 2022-08-03 |
| 309 | A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, the authors have conducted a comparative analysis by implementing five transformer based models such as BERT, BERT without LSTM, ALBERT, RoBERTa, and a Hybrid of BERT & ALBERT in order to detect the fraudulent news of COVID 19 from the internet. |
Sajib Kumar Saha Joy; Dibyo Fabian Dofadar; Riyo Hayat Khan; Md. Sabbir Ahmed; Rafeed Rahman; | arxiv-cs.CL | 2022-08-02 |
| 310 | Integrating Digital Twins and Deep Learning for Medical Image Analysis in The Era of COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Imran Ahmed; Misbah Ahmad; Gwanggil Jeon; | Virtual Reality & Intelligent Hardware | 2022-08-01 |
| 311 | HealthLies: Dataset and Machine Learning Models for Detecting Fake Health News Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current datasets and models focusing on health fake news identification are few and far between and primarily based on COVID-19. In this paper, we introduce a new health … |
Garima Chaphekar; Jorjeta G. Jetcheva; | 2022 IEEE Eighth International Conference on Big Data … | 2022-08-01 |
| 312 | Student Use of Digital Libraries During COVID-19: Structural Equation Modelling in Indonesian and Malaysian Contexts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Purpose This paper aims to examine the determinants that drive digital library use by university students in Indonesia and Malaysia during COVID-19. A proposed model based on the … |
Akhmad Habibi; M. Yaakob; M. Sofwan; | Electron. Libr. | 2022-08-01 |
| 313 | Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the COVID-19 disease in humans, which has reached the scale of a global pandemic. Changes in the … |
Sarwan Ali; Taslim Murad; Prakash Chourasia; Murray Patterson; | 2022 IEEE Eighth International Conference on Big Data … | 2022-08-01 |
| 314 | Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The technique highlighted possible biomarkers, exposed model biases, and offered insights into the links between input and prediction. |
Yusuf Brima; Marcellin Atemkeng; | arxiv-cs.LG | 2022-08-01 |
| 315 | A Privacy-Assured Data Lifecycle for Epidemic-Handling Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Although the use of personal data from different contexts is essential to curbing the spread of COVID-19 in epidemic-handling systems (EHSs), it increases the chances of privacy … |
Abdul Majeed; S. Hwang; | Computer | 2022-08-01 |
| 316 | Analysis of The Spatio-Temporal Dynamics of COVID-19 in Massachusetts Via Spectral Graph Wavelet Theory Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid spread of COVID-19 disease has had a significant impact on the world. In this paper, we study COVID-19 data interpretation and visualization using open-data sources for … |
R. Geng; Yixian Gao; Hongkun Zhang; Jian Zu; | IEEE Transactions on Signal and Information Processing over … | 2022-07-28 |
| 317 | From Interpretable Filters to Predictions of Convolutional Neural Networks with Explainable Artificial Intelligence Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An interpretation of the convolutional filtres and associated features can help to establish an understanding of CNN to distinguish various classes. In this work, we focus on the explainability of a CNN model called as cnnexplain that is used for Covid-19 and non-Covid-19 classification with a focus on the interpretability of features by the convolutional filters, and how these features contribute to classification. |
Shagufta Henna; Juan Miguel Lopez Alcaraz; | arxiv-cs.LG | 2022-07-26 |
| 318 | Visualization Design Practices in A Crisis: Behind The Scenes with COVID-19 Dashboard Creators IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Data dashboards, a form of information dissemination used during the pandemic, have facilitated this process by visualizing statistics regarding the number of COVID-19 cases over time. In this research, we conducted a qualitative interview study among dashboard creators from federal agencies, state health departments, mainstream news media outlets, and other organizations that created (often widely-used) COVID-19 dashboards to answer the following questions: how did visualization creators engage in COVID-19 dashboard design, and what tensions, conflicts, and challenges arose during this process? |
YIXUAN ZHANG et. al. | arxiv-cs.HC | 2022-07-26 |
| 319 | Modeling The Social Influence of COVID-19 Via Personalized Propagation with Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Additionally, graph convolutional networks (GCNs), which deals with graph data in non-Euclidean space, are not directly applicable to Euclidean space. To overcome these problems, we extended DeepInf such that it can predict the social influence of COVID-19 via the transition probability of the page rank domain. |
Yufei Liu; Jie Cao; Dechang Pi; | arxiv-cs.SI | 2022-07-26 |
| 320 | MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We respond to one of these calls specific to the pediatric population. To address this challenge, we study two prediction tasks for the pediatric population using electronic health records: 1) predicting which children are more likely to be hospitalized, and 2) among hospitalized children, which individuals are more likely to develop severe symptoms. |
JUNYI GAO et. al. | arxiv-cs.LG | 2022-07-25 |
| 321 | A Process Mining- Deep Learning Approach to Predict Survival in A Cohort of Hospitalized COVID‐19 Patients Related Papers Related Patents Related Grants Related Venues Related Experts View |
M. PISHGAR et. al. | BMC Medical Informatics and Decision Making | 2022-07-25 |
| 322 | Vaccine Discourse on Twitter During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We identify 37 topics of discussion and present their respective importance over time. |
Gabriel Lindelöf; Talayeh Aledavood; Barbara Keller; | arxiv-cs.CY | 2022-07-23 |
| 323 | An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During The COVID-19 Pandemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: COVID-19 has brought about many changes in social dynamics. Stay-at-home orders and disruptions in school teaching can influence bullying behavior in-person and online, both of … |
Christopher Perez; Sayar Karmakar; | arxiv-cs.SI | 2022-07-23 |
| 324 | Tell Me How You Feel: Designing Emotion-Aware Voicebots to Ease Pandemic Anxiety In Aging Citizens Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The preliminary study with target group confirmed that multimodality improves usability and that the information module is essential for participating in a psychological intervention. |
W. Mieleszczenko-Kowszewicz; K. Warpechowski; K. Zieliński; R. Nielek; A. Wierzbicki; | arxiv-cs.HC | 2022-07-21 |
| 325 | Scalability Analysis of A Global Blockchain For Immunization Records Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a scalable and cooperative Global Immunization Information Blockchain-based System (GEOS) that leverages the global interoperability of immunization information systems. |
Jorge Medina; Roberto Rojas-Cessa; Ziqian Dong; Vatcharapan Umpaichitra; | arxiv-cs.CY | 2022-07-20 |
| 326 | COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we introduce a novel deep learning approach to distinguish patients with COVID-19 from healthy controls given audio recordings of cough or breathing sounds. |
IDIL AYTEKIN et. al. | arxiv-cs.SD | 2022-07-19 |
| 327 | Marrying Convolution and Transformer for COVID-19 Diagnosis Based on CT Scans Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Presently, the coronavirus disease 2019 (COVID-19) has infected more than 200 million of the world’s population and has killed more than 4 million people. In addition to reverse … |
Jie Mei; | 2022 International Joint Conference on Neural Networks … | 2022-07-18 |
| 328 | Quantum Machine Learning for Audio Classification with Applications to Healthcare Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accessible rapid COVID-19 testing continues to be necessary and several studies involving deep neural network (DNN) methods for detection have been published. As part of a … |
Michael Esposito; Glen S. Uehara; A. Spanias; | 2022 13th International Conference on Information, … | 2022-07-18 |
| 329 | Classifying COVID-19 Vaccine Narratives Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper addresses the need for monitoring and analysing vaccine narratives online by introducing a novel vaccine narrative classification task, which categorises COVID-19 vaccine claims into one of seven categories. |
Yue Li; Carolina Scarton; Xingyi Song; Kalina Bontcheva; | arxiv-cs.CL | 2022-07-18 |
| 330 | Spatio-Temporal Interpretation of The Covid-19 Risk Factors Using Explainable Ai Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Links between environmental conditions (e.g., meteo-rological factors and air quality) and COVID-19 infection/mortality have been reported worldwide. However, the existing … |
ANASTASIOS TEMENOS et. al. | IGARSS 2022 – 2022 IEEE International Geoscience and Remote … | 2022-07-17 |
| 331 | Strict Baselines for Covid-19 Forecasting and ML Perspective for USA and Russia Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the results of a consistent comparative study of different types of methods for predicting the dynamics of the spread of Covid-19 based on regional data for two countries: the United States and Russia. |
ALEXANDER G. SBOEV et. al. | arxiv-cs.LG | 2022-07-15 |
| 332 | Deep Learning-Based CAD System for COVID-19 Diagnosis Via Spectral-Temporal Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The diagnosis of COVID-19 and understanding the condition of the patients who have critical responses is crucial to stop the rapid propagation of such disease. Consequently, … |
Omneya Attallah; | Proceedings of the 12th International Conference on … | 2022-07-13 |
| 333 | Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel approach incorporating transformer-based language models into infectious disease modelling. |
Felix Drinkall; Stefan Zohren; Janet Pierrehumbert; | naacl | 2022-07-09 |
| 334 | A Holistic Framework for Analyzing The COVID-19 Vaccine Debate IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we propose a holistic analysis framework connecting stance and reason analysis, and fine-grained entity level moral sentiment analysis. |
MARIA PACHECO et. al. | naacl | 2022-07-09 |
| 335 | Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinformation related to the COVID-19 pandemic. |
MIGUEL ARANA-CATANIA et. al. | naacl | 2022-07-09 |
| 336 | Medical-Waste Chain: A Medical Waste Collection, Classification and Treatment Management By Blockchain Technology IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To prevent the spread of the COVID-19 pandemic, 2019 has seen unprecedented demand for medical equipment and supplies. However, the problem of waste treatment has not yet been … |
HAI TRIEU LE et. al. | Comput. | 2022-07-09 |
| 337 | Exploring Learner Resilience and Performance of First-Year Computer Science Undergraduate Students During The COVID-19 Pandemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents the findings from a research project exploring the impact of learner resilience as part of the shift to online delivery of learning, teaching and assessment … |
T. Crick; T. Prickett; Jill Bradnum; | Proceedings of the 27th ACM Conference on on Innovation and … | 2022-07-07 |
| 338 | Evolution of The Online Grocery Shopping Experience During The COVID-19 Pandemic: Empiric Study from Portugal IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Online shopping has intensified in the last decade. The COVID-19 pandemic has imposed circulation limitations and more restrictive behaviors on consumers due to fears of … |
Sofia Gomes; João Lopes; | J. Theor. Appl. Electron. Commer. Res. | 2022-07-06 |
| 339 | Cov3d: Detection of The Presence and Severity of COVID-19 from CT Scans Using 3D ResNets Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has been used to assist in the analysis of medical imaging. One such use is the classification of Computed Tomography (CT) scans when detecting for COVID-19 in … |
R. Turnbull; | ArXiv | 2022-07-05 |
| 340 | At The Onset of An Infodemic: Geographic and Disciplinary Boundaries in Researching Problematic COVID-19 Information Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper analyzes the literature on problematic COVID-19 information published at the onset of the pandemic in 2020. It explores how scientific research has addressed this issue … |
Nicola Righetti; L. Rossi; Giada Marino; | First Monday | 2022-07-04 |
| 341 | Open Data Science to Fight COVID-19: Winning The 500k XPRIZE Pandemic Response Challenge (Extended Abstract) Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe the deep learning-based COVID-19 cases predictor and the Pareto-optimal Non-Pharmaceutical Intervention (NPI) prescriptor developed by the winning team of the 500k XPRIZE Pandemic Response Challenge. |
MIGUEL ANGEL LOZANO et. al. | ijcai | 2022-07-01 |
| 342 | AMICA: An Argumentative Search Engine for COVID-19 Literature Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: AMICA is an argument mining-based search engine, specifically designed for the analysis of scientific literature related to Covid-19. AMICA retrieves scientific papers based on … |
MARCO LIPPI et. al. | ijcai | 2022-07-01 |
| 343 | Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we study an explainable COVID-19 misinformation detection problem where the goal is to accurately identify COVID-19 misleading posts on social media and explain the … |
ZIYI KOU et. al. | International Joint Conference on Artificial Intelligence | 2022-07-01 |
| 344 | Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study an explainable COVID-19 misinformation detection problem where the goal is to accurately identify COVID-19 misleading posts on social media and explain the posts with natural language explanations (NLEs). |
ZIYI KOU et. al. | ijcai | 2022-07-01 |
| 345 | Visualization and Visual Knowledge Discovery from Big Uncertain Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the current uncertain world, data are kept growing bigger. Big data refer to the data flow of huge volume, high velocity, wide variety, and different levels of veracity (e.g., … |
C. Leung; Evan W. R. Madill; Adam G. M. Pazdor; | 2022 26th International Conference Information … | 2022-07-01 |
| 346 | MobApp4InfectiousDisease: Classify COVID-19, Pneumonia, and Tuberculosis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Illness due to infectious diseases has been always a global threat. Millions of people die per year due to COVID-19, pneumonia, and Tuberculosis (TB) as all of them infect the … |
MD. KAWSHER MAHBUB et. al. | 2022 IEEE 35th International Symposium on Computer-Based … | 2022-07-01 |
| 347 | Two-Stage Classifier for COVID-19 Misinformation Detection Using BERT: A Study on Indonesian Tweets Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we propose the two-stage classifier model using IndoBERT pre-trained language model for the Tweet misinformation detection task. |
Douglas Raevan Faisal; Rahmad Mahendra; | arxiv-cs.CL | 2022-06-30 |
| 348 | CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Despite the astonishing success of COVID-19 vaccines against the virus, a substantial proportion of the population is still hesitant to be vaccinated, undermining governmental … |
Bohan Jiang; Paras Sheth; Baoxin Li; Huan Liu; | ArXiv | 2022-06-30 |
| 349 | An Approach of Dempster-Shafer Decision Fusion to Diagnose COVID-19 in Chest X-ray Imagery By Using Controlled Asymmetric Training of The Two CNNs Ensemble Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a model of Dempster-Shafer decision fusion based on controlled training of the ensemble of two Convolutional Neural Networks (CNNs) by the asymmetry parameter … |
V. Neagoe; Gabriela-Loredana Ghenea; | 2022 14th International Conference on Electronics, … | 2022-06-30 |
| 350 | Ensemble CNN Models for Covid-19 Recognition and Severity Perdition From 3D CT-scan Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Since the appearance of Covid-19 in late 2019, Covid-19 has become an active research topic for the artificial intelligence (AI) community. One of the most interesting AI topics … |
F. Bougourzi; C. Distante; F. Dornaika; A. Taleb-Ahmed; | ArXiv | 2022-06-29 |
| 351 | Using Twitter Data to Understand Public Perceptions of Approved Versus Off-label Use for COVID-19-related Medications IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We make all the data, code, and models available at https://github.com/ningkko/COVID-drug. |
YINING HUA et. al. | arxiv-cs.CY | 2022-06-28 |
| 352 | The COVID-19 Pandemic on The Turkish Twittersphere Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This thesis is the first study that examines the Turkish Twitter-sphere to understand the change in public opinion during the COVID-19 outbreak. |
Burak Ozturan; | arxiv-cs.SI | 2022-06-27 |
| 353 | How Did Europe’s Press Cover Covid-19 Vaccination News? A Five-Country Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Understanding how high-quality newspapers present and discuss major news plays a role towards tackling disinformation, as it contributes to the characterization of the full … |
David Alonso del Barrio; D. Gática-Pérez; | Proceedings of the 1st International Workshop on Multimedia … | 2022-06-27 |
| 354 | A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning methodologies constitute nowadays the main approach for medical image analysis and disease prediction. Large annotated databases are necessary for developing these … |
Anastasios Arsenos; D. Kollias; S. Kollias; | 2022 IEEE 14th Image, Video, and Multidimensional Signal … | 2022-06-26 |
| 355 | The Disinformation Dozen: An Exploratory Analysis of Covid-19 Disinformation Proliferation on Twitter IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Shortly after the outbreak of the novel coronavirus disease (Covid-19), the United Nations declared an infodemic due to an unprecedented amount of false information spreading … |
GIANLUCA NOGARA et. al. | 14th ACM Web Science Conference 2022 | 2022-06-26 |
| 356 | Feedback Dynamics of The Low-Income Rental Housing Market: Exploring Policy Responses to COVID-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 recession threatens mass housing insecurity that undermines economic recovery. Unprecedented federal policy responses halt court-ordered evictions, but questions … |
Katherine Marcal; Patrick J. Fowler; Peter S. Hovmand; | arxiv-cs.CY | 2022-06-25 |
| 357 | Businesses in High-income Zip Codes Often Saw Sharper Visit Reductions During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We use SafeGraph mobility data from Minnesota, USA, to demonstrate that businesses (especially those requiring extended indoor visits) located in affluent zip codes witnessed sharper reductions in visits (relative to pre-pandemic times) outside of the lockdown periods than their poorer counterparts. |
Aditya Kulkarni; Min Kim; Joydeep Bhattacharya; Jayanta Bhattacharya; | arxiv-cs.CY | 2022-06-23 |
| 358 | Twitter Conversations Predict The Daily Confirmed COVID-19 Cases IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a sentiment-involved topic-based latent variables search methodology for designing forecasting models from publicly available Twitter conversations. |
Rabindra Lamsal; Aaron Harwood; Maria Rodriguez Read; | arxiv-cs.CL | 2022-06-21 |
| 359 | Automating Care: Online Food Delivery Work During The CoVID-19 Crisis in India Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: On March 23, 2020, the Government of India (GoI) announced one of the strictest nationwide lockdowns in the world to curb the spread of novel SARS-CoV-2, otherwise known as … |
Archana Singh; Tina J. Park; | Proceedings of the 2022 ACM Conference on Fairness, … | 2022-06-20 |
| 360 | Public Opinion Spread and Guidance Strategy Under COVID-19: A SIS Model Analysis IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Both the suddenness and seriousness of COVID-19 have caused a variety of public opinions on social media, which becomes the focus of social attention. This paper aims to analyze … |
Geun-Jun You; S. Gan; Hao Guo; Abd Alwahed Dagestani; | Axioms | 2022-06-17 |
| 361 | An Open-Domain QA System for E-Governance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The paper presents an open-domain Question Answering system for Romanian, answering COVID-19 related questions. |
RADU ION et. al. | arxiv-cs.CL | 2022-06-16 |
| 362 | Tips, Tidings, and Tech: Governmental Communication on Facebook During The COVID-19 Pandemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic led governments to rely on the versatility of social media to communicate with their citizens. This paper analyzes the Facebook communication of political … |
E. HAQ et. al. | DG.O 2022: The 23rd Annual International Conference on … | 2022-06-15 |
| 363 | Knowledge4COVID-19: A Semantic-based Approach for Constructing A COVID-19 Related Knowledge Graph from Various Sources and Analysing Treatments’ Toxicities Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the power of integrating disparate sources of knowledge to discover adverse drug effects caused by drug-drug interactions among COVID-19 treatments and pre-existing condition drugs. |
AHMAD SAKOR et. al. | arxiv-cs.DB | 2022-06-15 |
| 364 | What Can Robots Teach Us About The COVID-19 Pandemic? Interactive Demonstrations of Epidemiological Models Using A Swarm of Brushbots Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes the methodology and outcomes of a series of educational events conducted in 2021 which leveraged robot swarms to educate high-school and university students about epidemiological models and how they can inform societal and governmental policies. |
Gennaro Notomista; Siddharth Mayya; | arxiv-cs.RO | 2022-06-15 |
| 365 | A Multi-dimension Traceable Privacy-preserving Prevention and Control Scheme of The COVID-19 Epidemic Based on Blockchain Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The outbreak of COVID-19 has brought great pain to people around the world. As an epidemic prevention and control measure, the health QR code (HC) has been designed to trace the … |
Shixiong Yao; Pujie Jing; Pei Li; Jiageng Chen; | Connection Science | 2022-06-14 |
| 366 | Toward A Secure Global Contact Tracing App for Covid-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The outbreak of the covid-19 pandemic has devastated many sectors of each country and led to the development of contact tracing applications for controlling its spread. Contact … |
Muhammad Hamza; A. Khan; M. Akbar; | Proceedings of the 26th International Conference on … | 2022-06-13 |
| 367 | CROMATIC: Cross-Relationship Map of Cavities from Coronaviruses Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiologic agent of COVID-19 disease, has rapidly imposed an urgent need to identify effective drug candidates. In … |
LYDIA SIRAGUSA et. al. | Journal of Chemical Information and Modeling | 2022-06-13 |
| 368 | The Impact Of Social Media In The Fight Against The Spread Of Coronavirus (Covid-19) Pandemic In Anambra State, Nigeria Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study examined the impact of social media in the fight against the spread of coronavirus (COVID-19) pandemic in Anambra state, Nigeria. |
Onuegbu Okechukwu Christopher; Joseph Oluchukwu Wogu; Jude Agbo; | arxiv-cs.CY | 2022-06-11 |
| 369 | Analysis and Prediction of User Sentiment on COVID-19 Pandemic Using Tweets IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The novel coronavirus disease (COVID-19) has dramatically affected people’s daily lives worldwide. More specifically, since there is still insufficient access to vaccines and no … |
N. YEASMIN et. al. | Big Data Cogn. Comput. | 2022-06-10 |
| 370 | A Privacy-aware Distributed Knowledge Graph Approach to QoIS-driven COVID-19 Misinformation Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we focus on the quality of information service (QoIS) of COVID-19-related information on social media. Our goal is to provide reliable COVID-19 information service … |
Lanyu Shang; Ziyi Kou; Yang Zhang; Jin Chen; Dong Wang; | 2022 IEEE/ACM 30th International Symposium on Quality of … | 2022-06-10 |
| 371 | Chest X-ray and CT Scan Classification Using Ensemble Learning Through Transfer Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: COVID-19 has posed an extraordinary challenge to the entire world. As the number of COVID-19 cases continues to climb around the world, medical experts are facing an unprecedented … |
S. Siddiqui; Neda Fatima; Anwar Ahmad; | EAI Endorsed Trans. Scalable Inf. Syst. | 2022-06-09 |
| 372 | IoT-Based Remote Health Monitoring System Employing Smart Sensors for Asthma Patients During COVID-19 Pandemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: COVID-19 and asthma are respiratory diseases that can be life-threatening in uncontrolled circumstances and require continuous monitoring. A poverty-stricken South Asian country … |
NAFISA SHAMIM RAFA et. al. | ArXiv | 2022-06-07 |
| 373 | A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, there are a lot of research papers being written on the subject, which makes it hard to keep up with the most recent research. This problem motivates us to propose the design of the COVID-19 Search Engine (CO-SE), which is an algorithmic system that finds relevant documents for each query (asked by a user) and answers complex questions by searching a large corpus of publications. |
Shaina Raza; | arxiv-cs.IR | 2022-06-07 |
| 374 | Detecting Global Community Structure in A COVID-19 Activity Correlation Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The global pandemic of COVID-19 over the last 2.5 years have produced an enormous amount of epidemic/public health datasets, which may also be useful for studying the underlying structure of our globally connected world. Here we used the Johns Hopkins University COVID-19 dataset to construct a correlation network of countries/regions and studied its global community structure. |
Hiroki Sayama; | arxiv-cs.SI | 2022-06-07 |
| 375 | On-site or Remote Working?: An Initial Solution on How COVID-19 Pandemic May Impact Augmented Reality Users Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As a cutting edge technique requiring high-precision equipment, augmented reality (AR) and its users are influenced by the ambient environment. With the tremendous effect brought … |
Yuchong Zhang; Adam Nowak; A. Romanowski; M. Fjeld; | Proceedings of the 2022 International Conference on … | 2022-06-06 |
| 376 | Perspectives of Non-Expert Users on Cyber Security and Privacy: An Analysis of Online Discussions on Twitter Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We applied topic modelling, sentiment analysis and qualitative analysis of selected tweets in the dataset, leading to various interesting findings. |
Nandita Pattnaik; Shujun Li; Jason R. C. Nurse; | arxiv-cs.CR | 2022-06-05 |
| 377 | Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with A Large Feature Set in 2021 BARDA Data Challenge Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, instead of searching for a small number of most useful features to make prediction, we design a novel large-scale bag-of-words like method to represent various medical conditions and measurements of COVID-19 patients. |
Sajid Mahmud; Elham Soltanikazemi; Frimpong Boadu; Ashwin Dhakal; Jianlin Cheng; | arxiv-cs.LG | 2022-06-03 |
| 378 | Factors Influencing Intention to Use The COVID-19 Contact Tracing Application Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the emergence of the COVID-19 pandemic, governments have implemented several urgent steps to minimize the disease’s effect and transmission. Supportive measures to trace … |
Vinh Phu Nguyen; Chuyen T. Nguyen; | ArXiv | 2022-06-01 |
| 379 | How COVID-19 Affected Computer Science MOOC Learner Behavior and Achievements: A Demographic Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Learner data from multiple instances of two introductory Python MOOCs, offered before and during the COVID-19 pandemic, were analyzed to see if and how learner behavior and … |
ANINDYA ROY et. al. | Proceedings of the Ninth ACM Conference on Learning @ Scale | 2022-06-01 |
| 380 | COVID-19 Classification Using Medical Image Synthesis By Generative Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The outbreak of novel coronavirus disease 2019, also called COVID-19, in Wuhan, China, began in December 2019. Since its outbreak, infectious disease has rapidly spread across the … |
R. Nandhini Abirami; P. M. Durai Raj Vincent; V. Rajinikanth; Seifedine Kadry; | Int. J. Uncertain. Fuzziness Knowl. Based Syst. | 2022-06-01 |
| 381 | On Epidemic-aware Socio Spatial POI Recommendation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Epidemics such as COVID-19, SARS, H1N1 have highly transmissible viruses and spread wildly through the population with negative consequences. Multiple studies have shown the … |
CEDRIC PARFAIT KANKEU FOTSING et. al. | 2022 23rd IEEE International Conference on Mobile Data … | 2022-06-01 |
| 382 | FaCov: COVID-19 Viral News and Rumors Fact-Check Articles Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: COVID-19, which was first detected in late 2019 in Wuhan, China, has spread to the rest of the world and is currently deemed a global pandemic. A flux of events triggered by a … |
Shakshi Sharma; Ekanshi Agrawal; Rajesh Sharma; Anwitaman Datta; | International Conference on Web and Social Media | 2022-05-31 |
| 383 | If You Have A Reliable Source, Say Something: Effects of Correction Comments on COVID-19 Misinformation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the post-truth era, particularly during the COVID-19 pandemic, an effective correction on misinformation is necessary to promote personal and public health. To better … |
Haeseung Seo; Aiping Xiong; Sian Lee; Dongwon Lee; | International Conference on Web and Social Media | 2022-05-31 |
| 384 | Understanding Local News Social Coverage and Engagement at Scale During The COVID-19 Pandemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: During the COVID-19 pandemic, local news organizations have played an important role in keeping communities informed about the spread and impact of the virus. We explore how … |
Marianne Aubin Le Quere; Ting-Wei Chiang; Mor Naaman; | International Conference on Web and Social Media | 2022-05-31 |
| 385 | COVID-19 Literature Mining and Retrieval Using Text Mining Approaches Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, relevant documents should be recognized for the posed topics in topics-rnd3 data set. |
Sanku Satya Uday; Satti Thanuja Pavani; T. Jaya Lakshmi; Rohit Chivukula; | arxiv-cs.IR | 2022-05-29 |
| 386 | SARS-CoV-2 Result Interpretation Based on Image Analysis of Lateral Flow Devices Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With the evolution of machine learning algorithms, image processing and analysis has seen unprecedented growth. In this interdisciplinary study, we employ novel image analysis methods of computer vision and machine learning field to study visual features of the control region of LFD. |
Neeraj Vashistha; | arxiv-cs.LG | 2022-05-26 |
| 387 | Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a novel automatic evaluation framework for intent discovery, leveraging the existing intent classifier of VIRA. |
SHAI GRETZ et. al. | arxiv-cs.CL | 2022-05-24 |
| 388 | VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we explore the challenging task of human-bot turn-level trust classification. |
RONI FRIEDMAN et. al. | arxiv-cs.CL | 2022-05-24 |
| 389 | COVID-19: An Exploration of Consecutive Systemic Barriers to Pathogen-related Data Sharing During A Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we report results of a study, where we interviewed data professionals working with COVID-19-relevant data types including social media, mobility, viral genome, testing, infection, hospital admission, and deaths. |
Yo Yehudi; Lukas Hughes-Noehrer; Carole Goble; Caroline Jay; | arxiv-cs.CY | 2022-05-24 |
| 390 | COVID-19 Fake News Detection By Using BERT and RoBERTa Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We live in a world where COVID-19 news is an everyday occurrence with which we interact. We are receiving that information, either consciously or unconsciously, without … |
Tashko Pavlov; G. Mirceva; | 2022 45th Jubilee International Convention on Information, … | 2022-05-23 |
| 391 | Convening A Minipublic During A Pandemic: A Case Study of The Oregon Citizens’ Assembly Pilot on COVID-19 Recovery Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: From July–August, 2020, the nonprofit organization Healthy Democracy convened a seven-week pilot test of an online Citizen Assembly on the state of Oregon’s response to the … |
JOHN GASTIL et. al. | Digital Government: Research and Practice | 2022-05-23 |
| 392 | Self-Knowledge Distillation Based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel self-knowledge distillation based self-supervised learning method for COVID-19 detection from chest X-ray images. |
G. Li; R. Togo; T. Ogawa; M. Haseyama; | icassp | 2022-05-22 |
| 393 | Supervised and Self-Supervised Pretraining Based Covid-19 Detection Using Acoustic Breathing/Cough/Speech Signals Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a bi-directional long short-term memory (BiLSTM) network based COVID-19 detection method using breath/speech/cough signals. |
X. -Y. Chen; Q. -S. Zhu; J. Zhang; L. -R. Dai; | icassp | 2022-05-22 |
| 394 | The Second Dicova Challenge: Dataset and Performance Analysis for Diagnosis of Covid-19 Using Acoustics IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present an overview of the challenge, the rationale for the data collection and the baseline system. |
N. K. SHARMA et. al. | icassp | 2022-05-22 |
| 395 | Detection of Covid-19 from Joint Time and Frequency Analysis of Speech, Breathing and Cough Audio Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here we explore the possibility of leveraging three audio modalities: cough, breathing, and speech to determine COVID-19 status. |
J. Harvill; et al. | icassp | 2022-05-22 |
| 396 | Convoluational Transformer With Adaptive Position Embedding For Covid-19 Detection From Cough Sounds Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Considering that the cough of an infected person contains a large amount of information, we propose an algorithm for the automatic recognition of Covid-19 from cough signals. |
T. YAN et. al. | icassp | 2022-05-22 |
| 397 | Fusion of Modulation Spectral and Spectral Features with Symptom Metadata for Improved Speech-Based Covid-19 Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing speech-based coronavirus disease 2019 (COVID-19) detection systems provide poor interpretability and limited robustness to unseen data conditions. In this paper, we propose a system to overcome these limitations. |
Y. Zhu; T. H. Falk; | icassp | 2022-05-22 |
| 398 | Modeling of Pre-Trained Neural Network Embeddings Learned From Raw Waveform for COVID-19 Infection Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In that direction, this paper is addressing the second DiCOVA challenge that deals with COVID-19 detection based on speech, cough and breathing. |
Z. Mostaani; R. Prasad; B. Vlasenko; M. Magimai-Doss; | icassp | 2022-05-22 |
| 399 | End-to-End Network Based on Transformer for Automatic Detection of Covid-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: There is no evidence that these features are optimal for COVID-19 detection. Therefore, we proposed an end-to-end network based on transformer for automatic detection of COVID-19. |
C. CAI et. al. | icassp | 2022-05-22 |
| 400 | Exploring Auditory Acoustic Features for The Diagnosis of Covid-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents the details of the automatic system for COVID-19 detection using breath, cough and speech recordings. |
M. R. Kamble; J. Patino; M. A. Zuluaga; M. Todisco; | icassp | 2022-05-22 |
| 401 | Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although an unsupervised method based on anomaly detection has shown promising results in [1], its performance is relatively poor. We address this problem by proposing a pixel-level and affinity-level knowledge distillation method. |
R. Xu; et al. | icassp | 2022-05-22 |
| 402 | Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The aim of this study is to obtain the most effective routine blood values (RBV) in the diagnosis and prognosis of COVID-19 using a backward feature elimination algorithm for the LogNNet reservoir neural network. |
Mehmet Tahir Huyut; Andrei Velichko; | arxiv-cs.LG | 2022-05-20 |
| 403 | Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel approach incorporating transformer-based language models into infectious disease modelling. |
Felix Drinkall; Stefan Zohren; Janet B. Pierrehumbert; | arxiv-cs.CL | 2022-05-20 |
| 404 | Minority Stress Experienced By LGBTQ Online Communities During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we develop and evaluate two sets of machine learning classifiers using a pre-pandemic and a during-pandemic dataset to identify Twitter posts exhibiting minority stress, which is a unique pressure faced by the members of the LGBTQ population due to their sexual and gender identities. |
Yunhao Yuan; Gaurav Verma; Barbara Keller; Talayeh Aledavood; | arxiv-cs.SI | 2022-05-19 |
| 405 | COVID-19 Sentiment Analysis Applying BERT Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The growth of social data on the internet has accelerated during the last two decades. As a result, researchers can access data and information for various academic and commercial … |
Nafiz Rifat; M. Ahsan; Rahul Gomes; Md. Chowdhury; | 2022 IEEE International Conference on Electro Information … | 2022-05-19 |
| 406 | A Weakly-Supervised Iterative Graph-Based Approach to Retrieve COVID-19 Misinformation Topics Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Detecting misinformation amidst dynamically changing information landscape is challenging; identifying relevant keywords and posts is arduous due to the large amount of human effort required to inspect the content and sources of posts. We aim to reduce the resource cost of this process by introducing a weakly-supervised iterative graph-based approach to detect keywords, topics, and themes related to misinformation, with a focus on COVID-19. |
Harry Wang; Sharath Chandra Guntuku; | arxiv-cs.HC | 2022-05-19 |
| 407 | Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT’s Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Semantic Segmentation of CT is one of many research fields of automatic detection of COVID-19 and has been widely explored since the COVID-19 outbreak. In this work, we propose an extensive analysis of how different data augmentation techniques improve the training of encoder-decoder neural networks on this problem. |
Bruno A. Krinski; Daniel V. Ruiz; Eduardo Todt; | arxiv-cs.CV | 2022-05-19 |
| 408 | Deep Residual Learning Based on ResNet50 for COVID-19 Recognition in Lung CT Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the start of 2020, the world witnessed the spread of Coronavirus disease (COVID-19). We aim in this work to employ artificial intelligence (AI) to develop a computer-aided … |
Radhia Ferjaoui; M. A. Cherni; Fathia Abidi; A. Zidi; | 2022 8th International Conference on Control, Decision and … | 2022-05-17 |
| 409 | L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we decided to investigate the capabilities of the recently proposed deep embedding model L3-Net to automatically extract meaningful features from raw respiratory audio recordings in order to improve the performances of standard machine learning classifiers in discriminating between COVID-19 positive and negative subjects from smartphone data. |
Mattia Giovanni Campana; Andrea Rovati; Franca Delmastro; Elena Pagani; | arxiv-cs.SD | 2022-05-16 |
| 410 | SciLander: Mapping The Scientific News Landscape Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite the existing body of work on modeling and predicting misinformation, the coverage of very complex scientific topics with inherent uncertainty and an evolving set of findings, such as COVID-19, provides many new challenges that are not easily solved by existing tools. To address these issues, we introduce SciLander, a method for learning representations of news sources reporting on science-based topics. |
Maurício Gruppi; Panayiotis Smeros; Sibel Adalı; Carlos Castillo; Karl Aberer; | arxiv-cs.CY | 2022-05-16 |
| 411 | New Optimized Deep Learning Application for COVID-19 Detection in Chest X-ray Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to false negative results of the real-time Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) test, the complemental practices such as computed tomography (CT) and X-ray … |
Ahmad Mozaffer Karim; H. Kaya; V. Alcan; B. Şen; I. A. Hadimlioglu; | Symmetry | 2022-05-14 |
| 412 | Sentiment Analysis of Covid-related Reddits Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper focuses on Sentiment Analysis of Covid-19 related messages from the r/Canada and r/Unitedkingdom subreddits of Reddit. |
Yilin Yang; Tomas Fieg; Marina Sokolova; | arxiv-cs.CL | 2022-05-13 |
| 413 | The Impact of CoViD-19 on The Hospital Activities: The Case of The Neurosurgery Department of “San Giovanni Di Dio E Ruggi D’Aragona” University Hospital Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Background. The CoViD-19 pandemic has hit the public health system in many nations hard. The long incubation period, the high infectious rate, the varied manifestation and the … |
A. SCALA et. al. | Proceedings of the 6th International Conference on Medical … | 2022-05-13 |
| 414 | Social Distancing Alert with Smartwatches Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present SoDA, a social distancing practice violation alert system based on smartwatches, for preventing COVID-19 virus transmission. |
XIN WANG et. al. | arxiv-cs.HC | 2022-05-12 |
| 415 | Mask Wearing Status Estimation with Smartwatches Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present MaskReminder, an automatic mask-wearing status estimation system based on smartwatches, to remind users who may be exposed to the COVID-19 virus transmission scenarios, to wear a mask. |
HUINA MENG et. al. | arxiv-cs.HC | 2022-05-12 |
| 416 | Automatic Tuberculosis and COVID-19 Cough Classification Using Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a deep learning based automatic cough classifier which can discriminate tuberculosis (TB) coughs from COVID-19 coughs and healthy coughs. |
MADHURANANDA PAHAR et. al. | arxiv-cs.LG | 2022-05-11 |
| 417 | The Drift of #MyBodyMyChoice Discourse on Twitter Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Population groups opposed to such measures started to use the slogan My Body My Choice to claim their bodily autonomy. In this paper, we investigate whether the discourse around the hashtag #MyBodyMyChoice on Twitter changed its usage after the Covid-19 outbreak. |
CRISTINA MENGHINI et. al. | arxiv-cs.CY | 2022-05-10 |
| 418 | Brazilian COVID-19 Data Streaming Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We collected individualized (unidentifiable) and aggregated openly available data from various sources related to suspected/confirmed SARS-CoV-2 infections, vaccinations, non-pharmaceutical government interventions, human mobility, and levels of population inequality in Brazil. |
NÍVEA B. DA SILVA et. al. | arxiv-cs.DB | 2022-05-10 |
| 419 | Detecting The Role of An Entity in Harmful Memes: Techniques and Their Limitations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we describe our experiments in detecting the roles of the entities (hero, villain, victim) in harmful memes, which is part of the CONSTRAINT-2022 shared task, as well as our system for the task. |
Rabindra Nath Nandi; Firoj Alam; Preslav Nakov; | arxiv-cs.CL | 2022-05-09 |
| 420 | Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinformation related to the COVID-19 pandemic. |
M. ARANA-CATANIA et. al. | arxiv-cs.CL | 2022-05-05 |
| 421 | MA-UNet++: A Multi-Attention Guided U-Net++ for COVID-19 CT Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: At the beginning of 2020, Coronavirus Disease 2019 (COVID-19) spread widely all over the world, leading to a public health crisis in the world. Automatic COVID-19 CT segmentation … |
Kun Liu; Junfei Xie; Mei Chen; Haiyong Chen; Weipeng Liu; | 2022 13th Asian Control Conference (ASCC) | 2022-05-04 |
| 422 | Digital Nomads During The COVID-19 Pandemic: Evidence from Narratives on Reddit Discussions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we report on new findings about the results of an empirical study which aims to investigate how the COVID-19 pandemic has been shaping nomadic work practices and … |
Marcos Antonio de Almeida; António Correia; J. Souza; D. Schneider; | 2022 IEEE 25th International Conference on Computer … | 2022-05-04 |
| 423 | A Holistic Framework for Analyzing The COVID-19 Vaccine Debate IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we propose a holistic analysis framework connecting stance and reason analysis, and fine-grained entity level moral sentiment analysis. |
MARIA LEONOR PACHECO et. al. | arxiv-cs.CL | 2022-05-03 |
| 424 | The Effect of The Rapid Growth of Covid-19 Publications on Citation Indicators Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper I explored how the growth of covid-19 publications influences bibliometric indicators commonly used in university rankings, research evaluation and research allocation, namely the field normalized citation score and the journal impact factor. |
Peter Sjögårde; | arxiv-cs.DL | 2022-05-02 |
| 425 | Impact of Later-Stages COVID-19 Response Measures on Spatiotemporal Mobile Service Usage Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic has affected our lives and how we use network infrastructures in an unprecedented way. While early studies have started shedding light on the link between … |
A. Zanella; Orlando Martínez-Durive; Sachit Mishra; Z. Smoreda; M. Fiore; | IEEE INFOCOM 2022 – IEEE Conference on Computer … | 2022-05-02 |
| 426 | DisCOV: Distributed COVID-19 Detection on X-Ray Images With Edge-Cloud Collaboration IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Currently, the world is experiencing the rapid spread of Coronavirus Disease 2019 (COVID-19). Since the epidemic continues to take a devastating impact on the society, economy, … |
XIAOLONG XU et. al. | IEEE Transactions on Services Computing | 2022-05-01 |
| 427 | Multi-Feature Representation Based COVID-19 Risk Stage Evaluation With Transfer Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate real-time COVID-19 confirmed case prediction and risk stage evaluation are of great significance for government decision-making. However, the complexity of the epidemic … |
XIANGJIE KONG et. al. | IEEE Transactions on Network Science and Engineering | 2022-05-01 |
| 428 | Better Addressing Diverse Accessibility Issues in Emerging Apps: A Case Study Using COVID-19 Apps Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic resulted in introducing a large number of “emerging apps” to the mobile app market. These apps were developed and deployed quickly to address the urgency of … |
O. Haggag; John C. Grundy; Mohamed Abdelrazek; Sherif Haggag; | 2022 IEEE/ACM 9th International Conference on Mobile … | 2022-05-01 |
| 429 | Characterizing Human Aspects in Reviews of COVID-19 Apps IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To successfully satisfy user needs, software developers need to suitably capture and implement user requirements. A critical and often overlooked characteristic of user … |
M. FAZZINI et. al. | 2022 IEEE/ACM 9th International Conference on Mobile … | 2022-05-01 |
| 430 | Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present our methods and results for three fake news detection tasks at MediaEval benchmark 2021 that specifically involve COVID-19 related topics. |
Haoming Guo; Tianyi Huang; Huixuan Huang; Mingyue Fan; Gerald Friedland; | arxiv-cs.CL | 2022-04-30 |
| 431 | Hitting Pause: How User Perceptions of Collaborative Playlists Evolved in The United States During The COVID-19 Pandemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Through collaborative playlists (CPs), streaming platform users have co-curated music together for various purposes for over a decade. As the COVID-19 pandemic has transformed how … |
S. Park; Emily Redmond; Jonathan Berger; Blair Kaneshiro; | Proceedings of the 2022 CHI Conference on Human Factors in … | 2022-04-29 |
| 432 | Six Feet Apart: Online Payments During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we explore digitization strategies used by small businesses that remained open during the pandemic, and survey/interview small businesses owners to understand preliminary challenges associated with moving online. |
Omar Shaikh; Cassandra Ung; Diyi Yang; Felipe Chacon; | arxiv-cs.HC | 2022-04-29 |
| 433 | Pandemic Displays: Considering Hygiene on Public Touchscreens in The Post-Pandemic Era Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic created unprecedented questions for touch-based public displays regarding hygiene, risks, and general awareness. We study how people perceive and consider … |
Ville Mäkelä; Jonas Winter; Jasmin Schwab; Michael Koch; Florian Alt; | Proceedings of the 2022 CHI Conference on Human Factors in … | 2022-04-29 |
| 434 | Fostering Engagement of Underserved Communities with Credible Health Information on Social Media Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This presents unique challenges in engaging low-literate communities that live in poverty and lack access to the Internet. We describe the design and deployment of a voice-based social media platform, accessible over simple phones, for actively engaging such communities in Pakistan with reliable COVID information. |
AGHA ALI RAZA et. al. | www | 2022-04-29 |
| 435 | Can’t Touch This: Rethinking Public Technology in A COVID-19 Era Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: What do pedestrian crossings, ATMs, elevators and ticket machines have in common? These are just a few of the ubiquitous yet essential elements of public-space infrastructure that … |
JENNIFER PEARSON et. al. | Proceedings of the 2022 CHI Conference on Human Factors in … | 2022-04-29 |
| 436 | Investigating Daily Practices of Self-care to Inform The Design of Supportive Health Technologies for Living and Ageing Well with HIV Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We report on a Diary Study investigating daily practices of Self-care by seven UK adults living with Human Immunodeficiency Virus (HIV), to understand their routines, experiences, … |
C. Claisse; B. Kasadha; Simone Stumpf; Abigail C. Durrant; | Proceedings of the 2022 CHI Conference on Human Factors in … | 2022-04-29 |
| 437 | Assessing The Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in The US IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we study the problem of assessing the causal effects of different COVID-19 related policies on the outbreak dynamics in different counties at any given time period. |
Jing Ma; Yushun Dong; Zheng Huang; Daniel Mietchen; Jundong Li; | www | 2022-04-29 |
| 438 | Identifying The Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, exposure to misinformation does not necessarily indicate misinformation adoption. In this paper we describe a novel framework for identifying the stance towards misinformation, relying on attitude consistency and its properties. |
Maxwell Weinzierl; Sanda Harabagiu; | www | 2022-04-29 |
| 439 | Moral Emotions Shape The Virality of COVID-19 Misinformation on Social Media IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here we analyze a large sample consisting of COVID-19 rumor cascades from Twitter that have been fact-checked by third-party organizations. |
Kirill Solovev; Nicolas Pröllochs; | www | 2022-04-29 |
| 440 | A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a generative approach to detect multimodal COVID-19 misinformation by investigating the cross-modal association between the visual and textual content that is deeply embedded in the multimodal news content. |
Lanyu Shang; Ziyi Kou; Yang Zhang; Dong Wang; | www | 2022-04-29 |
| 441 | Field Evidence of The Effects of Privacy, Data Transparency, and Pro-social Appeals on COVID-19 App Attractiveness Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: COVID-19 exposure-notification apps have struggled to gain adoption. Existing literature posits as potential causes of this low adoption: privacy concerns, insufficient data … |
S. Dooley; Dana Turjeman; John P. Dickerson; Elissa M. Redmiles; | Proceedings of the 2022 CHI Conference on Human Factors in … | 2022-04-29 |
| 442 | Emotion Bubbles: Emotional Composition of Online Discourse Before and After The COVID-19 Outbreak Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We traced how the overall emotional states of individual Twitter users changed before and after the pandemic. |
Assem Zhunis; Gabriel Lima; Hyeonho Song; Jiyoung Han; Meeyoung Cha; | www | 2022-04-29 |
| 443 | CAVES: A Dataset to Facilitate Explainable Classification and Summarization of Concerns Towards COVID Vaccines Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we have curated CAVES, the first large-scale dataset containing about 10k COVID-19 anti-vaccine tweets labelled into various specific anti-vaccine concerns in a multi-label setting. |
Soham Poddar; Azlaan Mustafa Samad; Rajdeep Mukherjee; Niloy Ganguly; Saptarshi Ghosh; | arxiv-cs.CL | 2022-04-28 |
| 444 | Public Views on Digital COVID-19 Certificates: A Mixed Methods User Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic has led governments worldwide to introduce various measures restricting human activity and mobility. Along with the administration of COVID-19 vaccinations … |
L. Nurgalieva; Seamus Ryan; Andreas Balaskas; J. Lindqvist; Gavin Doherty; | Proceedings of the 2022 CHI Conference on Human Factors in … | 2022-04-27 |
| 445 | COVID Student Study: A Year in The Life of College Students During The COVID-19 Pandemic Through The Lens of Mobile Phone Sensing IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic continues to affect the daily life of college students, impacting their social life, education, stress levels and overall mental well-being. We study and … |
SUBIGYA NEPAL et. al. | Proceedings of the 2022 CHI Conference on Human Factors in … | 2022-04-27 |
| 446 | Echoes Through Time: Evolution of The Italian COVID-19 Vaccination Debate IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: It is thus imperative to understand the nature of this discourse, with a specific focus on the vaccination hesitant individuals, whose healthcare decisions may affect their communities and the country at large. In this study we ask, how has the Italian discussion around vaccination changed during the COVID-19 pandemic, and have the unprecedented events of 2020-2021 been able to break the echo chamber around this topic? |
Giuseppe Crupi; Yelena Mejova; Michele Tizzani; Daniela Paolotti; Andre Panisson; | arxiv-cs.SI | 2022-04-27 |
| 447 | The Polyvocality of Online COVID-19 Vaccine Narratives That Invoke Medical Racism Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vaccine hesitancy has always been a public health concern, and anti-vaccine campaigns that proliferate disinformation have gained traction across the US in the last 25 years. The … |
Lindsay Levkoff Diamond; Hande Batan; T. J. Anderson; L. Palen; | Proceedings of the 2022 CHI Conference on Human Factors in … | 2022-04-27 |
| 448 | To Use Face Masks or Not After COVID-19 Vaccination? An Impact Analysis Using Mathematical Modeling Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The question of whether to drop or to continue wearing face masks especially after being vaccinated among the public is controversial. This is sourced from the efficacy levels of … |
M. Kinyili; J. Munyakazi; A. Mukhtar; | Frontiers in Applied Mathematics and Statistics | 2022-04-27 |
| 449 | Multimodal Pipeline for Collection of Misinformation Data from Telegram Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The paper presents the outcomes of AI-COVID19, our project aimed at better understanding of misinformation flow about COVID-19 across social media platforms. |
Jose Sosa; Serge Sharoff; | arxiv-cs.SI | 2022-04-27 |
| 450 | Trends in Remote Learning-based Google Shopping in The United States Due to COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As a result, Google, the most widely used search engine in the United States, experienced a surge in online shopping of remote learning-based software, systems, applications, and gadgets by both educators and students from all the 50-United States, due to both these groups responding to the associated needs and demands related to switching to remote teaching and learning. This paper aims to investigate, analyze, and interpret these trends of Google Shopping related to remote learning that emerged since March 13, 2020, on account of COVID-19 and the subsequent remote learning adoption in almost all schools, colleges, and universities, from all the 50-United States. |
Isabella Hall; Nirmalya Thakur; Chia Y. Han; | arxiv-cs.CY | 2022-04-26 |
| 451 | Spread of COVID-19: Adult Detention Facilities in LA County Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Throughout the analysis we review the data to explore the range of positive cases in each center and see the percentage of people who were positive for COVID-19 against the amount of people who were tested. |
MARIA BARRIGA BELTRAN et. al. | arxiv-cs.DC | 2022-04-26 |
| 452 | CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We contribute CoVERT, a fact-checked corpus of tweets with a focus on the domain of biomedicine and COVID-19-related (mis)information. |
Isabelle Mohr; Amelie Wührl; Roman Klinger; | arxiv-cs.CL | 2022-04-26 |
| 453 | Discovering Changes in Birthing Narratives During COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate whether, and if so how, birthing narratives written by new parents on Reddit changed during COVID-19. |
Daphna Spira; Noreen Mayat; Caitlin Dreisbach; Adam Poliak; | arxiv-cs.CL | 2022-04-25 |
| 454 | COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: A significant challenge during the pandemic has not only been the accurate detection of positive cases but also the efficient prediction of risks associated with complications and patient survival probabilities. These tasks entail considerable clinical resource allocation and attention.In this study, we introduce COVID-Net Biochem, a versatile and explainable framework for constructing machine learning models. |
HOSSEIN ABOUTALEBI et. al. | arxiv-cs.LG | 2022-04-24 |
| 455 | Multi-label Classification for Biomedical Literature: An Overview of The BioCreative VII LitCovid Track for COVID-19 Literature Topic Annotations IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic has been severely impacting global society since December 2019. Massive research has been undertaken to understand the characteristics of the virus and … |
QINGYU CHEN et. al. | arxiv-cs.DL | 2022-04-20 |
| 456 | LitMC-BERT: Transformer-based Multi-label Classification of Biomedical Literature with An Application on COVID-19 Literature Curation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This study proposes LITMC-BERT, a transformer-based multi-label classification method in biomedical literature. |
Qingyu Chen; Jingcheng Du; Alexis Allot; Zhiyong Lu; | arxiv-cs.CL | 2022-04-19 |
| 457 | On Xing Tian and The Perseverance of Anti-China Sentiment Online IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we conduct a large-scale longitudinal measurement of Sinophobia, between 2016 and 2021, on two mainstream and fringe Web communities. |
XINYUE SHEN et. al. | arxiv-cs.SI | 2022-04-19 |
| 458 | Where Was COVID-19 First Discovered? Designing A Question-Answering System for Pandemic Situations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To carry out our research, we followed a design science research approach and applied Ingwersen’s cognitive model of information retrieval interaction to inform our design process from a socio-technical lens. |
Johannes Graf; Gino Lancho; Patrick Zschech; Kai Heinrich; | arxiv-cs.CL | 2022-04-19 |
| 459 | Software Engineers Response to Public Crisis: Lessons Learnt from Spontaneously Building An Informative COVID-19 Dashboard Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a participant’s in-person observations in which the authors acted as founders of https://covid-19-au.com/ serving more than 830K users with 14M page views since March 2020. |
HAN WANG et. al. | arxiv-cs.SE | 2022-04-19 |
| 460 | Experiences with Online Education During COVID-19 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Early in spring 2020, universities world-wide suddenly moved their courses online in response to the COVID-19 pandemic. A number of researchers have studied the impact of this … |
Cindy Norris; James B. Fenwick; | Proceedings of the 2022 ACM Southeast Conference | 2022-04-18 |
| 461 | COVIBOT: A Smart Chatbot for Assistance and E-Awareness During COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes to design and implement a smart chatbot on the theme of COVID-19, called COVIBOT, which will be useful in the context of Saudi Arabia. |
MAHA DRISS et. al. | arxiv-cs.CL | 2022-04-16 |
| 462 | Is Blockchain for Internet of Medical Things A Panacea for COVID-19 Pandemic? IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In order to tackle the privacy, security, and interoperability issues of IoMT, we propose a framework of blockchain-enabled IoMT by introducing blockchain to incumbent IoMT systems. |
XURAN LI et. al. | arxiv-cs.DC | 2022-04-16 |
| 463 | UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We suggested a unified system with core components of data augmentation, ImageNet-pretrained ResNet-50, cost-sensitive loss, deep ensemble learning, and uncertainty estimation to quickly and consistently detect COVID-19 using acoustic evidence. |
Jiangeng Chang; Yucheng Ruan; Cui Shaoze; John Soong Tshon Yit; Mengling Feng; | arxiv-cs.SD | 2022-04-16 |
| 464 | How to Save Lives with Microblogs? Lessons From The Usage of Weibo for Requests for Medical Assistance During COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite this common practice, the affordances of microblogging services for help-seeking during crises that needs immediate attention are not well understood. To fill this gap, we analyzed 8K posts from COVID-19 patients or caregivers requesting urgent medical assistance on Weibo, the largest microblogging site in China. |
Wenjie Yang; Zhiyang Wu; Nga Yiu Mok; Xiaojuan Ma; | arxiv-cs.CY | 2022-04-15 |
| 465 | Multi-label Topic Classification for COVID-19 Literature with Bioformer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe Bioformer team’s participation in the multi-label topic classification task for COVID-19 literature (track 5 of BioCreative VII). |
Li Fang; Kai Wang; | arxiv-cs.CL | 2022-04-14 |
| 466 | Human–Machine Telecollaboration Accelerates The Safe Deployment of Large-Scale Autonomous Robots During The COVID-19 Pandemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Robots are increasingly used in today’s society (Torresen, 2018; Scassellati and Vázquez, 2020). Although the “end goal” is to achieve full autonomy, currently the smartness and … |
Zhongxu Hu; Yiran Zhang; Qinghua Li; Cheng Lv; | Frontiers in Robotics and AI | 2022-04-13 |
| 467 | Exploring The Pareto Front of Multi-objective COVID-19 Mitigation Policies Using Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we thus show that multi-objective reinforcement learning is attainable in complex epidemiological models and provides essential insights to balance complex mitigation policies. |
MATHIEU REYMOND et. al. | arxiv-cs.LG | 2022-04-11 |
| 468 | On The Pragmatism of Using Binary Classifiers Over Data Intensive Neural Network Classifiers for Detection of COVID-19 from Voice Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we show that detecting COVID-19 from voice does not require custom-made non-standard features or complicated neural network classifiers rather it can be successfully done with just standard features and simple binary classifiers. |
ANKIT SHAH et. al. | arxiv-cs.SD | 2022-04-10 |
| 469 | Application of Machine Learning for Predicting The Spread of COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This project aims to apply the machine learning technique to predict the severity of COVID-19 and the effect of quarantine, keeping social distance, working from home, and wearing masks on the transmission of the disease. |
Xiaoxu Zhong; Yukun Ye; | arxiv-cs.LG | 2022-04-08 |
| 470 | A Unified Health Information System Framework for Connecting Data, People, Devices, and Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic has heightened the necessity for pervasive data and system interoperability to manage healthcare information and knowledge. There is an urgent need to better … |
Wu He; Z. Zhang; Huanmei Wu; Wenzhuo Li; S. Shetty; | J. Glob. Inf. Manag. | 2022-04-07 |
| 471 | Evidence for Positive Long- and Short-term Effects of Vaccinations Against COVID-19 in Wearable Sensor Metrics – Insights from The German Corona Data Donation Project Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vaccines are among the most powerful tools used to combat the COVID-19 pandemic. They are highly effective against infection and substantially reduce the risk of severe disease, … |
M. WIEDERMANN et. al. | ArXiv | 2022-04-06 |
| 472 | How Do Media Talk About The Covid-19 Pandemic? Metaphorical Thematic Clustering in Italian Online Newspapers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The contribution presents a study on figurative language of the first months of the COVID-19 crisis in Italian online newspapers. |
Lucia Busso; Ottavia Tordini; | arxiv-cs.CL | 2022-04-05 |
| 473 | The COVMis-Stance Dataset: Stance Detection on Twitter for COVID-19 Misinformation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We have constructed a new stance dataset consisting of 2631 tweets annotated with the stance towards COVID-19 misinformation. |
Yanfang Hou; Peter van der Putten; Suzan Verberne; | arxiv-cs.CL | 2022-04-05 |
| 474 | Optimal Workplace Occupancy Strategies During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Over the long term, many organizations therefore face a need to balance infection risk against productivity. Motivated by this trade-off, we model this situation as a bi-objective optimization problem and propose a practical approach to find trade-off (Pareto optimal) solutions. |
Mansoor Davoodi; Abhishek Senapati; Adam Mertel; Weronika Schlechte-Welnicz; Justin M. Calabrese; | arxiv-cs.DS | 2022-04-04 |
| 475 | Evaluation of Fake News Detection with Knowledge-Enhanced Language Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigate the impact of knowledge integration into PLMs for fake news detection. |
Chenxi Whitehouse; Tillman Weyde; Pranava Madhyastha; Nikos Komninos; | arxiv-cs.CL | 2022-04-01 |
| 476 | A Temporal-oriented Broadcast ResNet for COVID-19 Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Due to the promising results of deep learning networks in modelling time sequences, and since applications to rapidly identify COVID in-the-wild should require low computational effort, we present a temporal-oriented broadcasting residual learning method that achieves efficient computation and high accuracy with a small model size. |
XIN JING et. al. | arxiv-cs.SD | 2022-03-31 |
| 477 | Joint Media Engagement in Families Playing Animal Crossing: New Horizons During The COVID-19 Pandemic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The video game Animal Crossing: New Horizons (AC:NH) launched during the COVID-19 pandemic and families turned to it as a game to play together during isolation. This interview … |
JESSE J. MARTINEZ et. al. | Proceedings of the ACM on Human-Computer Interaction | 2022-03-30 |
| 478 | Automated Thermal Screening for COVID-19 Using Machine Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we discuss our work on using machine learning over thermal video streams for face and mask detection and subsequent temperature screening in a passive non-invasive way that enables an effective automated COVID-19 screening method in public places. |
Pratik Katte; Siva Teja Kakileti; Himanshu J. Madhu; Geetha Manjunath; | arxiv-cs.CV | 2022-03-26 |
| 479 | The Open Data Canvas–Analyzing Value Creation from Open Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Expectations to derive value from open data are high. However, how value is created from open data is still largely unknown. Open data value is usually generated in constellation … |
Yingying Gao; M. Janssen; | Digital Government: Research and Practice | 2022-03-26 |
| 480 | Analysis of The Use of Color and Its Emotional Relationship in Visual Creations Based on Experiences During The Context of The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Using the repository of images created in the Instagram account CAM (The COVID Art Museum), we propose a methodology to understand the use of color and its emotional relationship in this context. |
César González-Martín; Miguel Carrasco; Germán Oviedo; | arxiv-cs.CV | 2022-03-25 |
| 481 | Intermunicipal Travel Networks of Mexico (2020-2021) Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a collection of networks that describe the travel patterns between municipalities in Mexico between 2020 and 2021. |
OSCAR FONTANELLI et. al. | arxiv-cs.SI | 2022-03-25 |
| 482 | Analysis of The Production Strategy of Mask Types in The COVID-19 Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Since the outbreak of the COVID-19 in December 2019, medical protective equipment such as disposable medical masks and KN95 masks have become essential resources for the public. … |
Xiangri Lu; Zhanqing Wang; Hongbin Ma; | arxiv-cs.CV | 2022-03-25 |
| 483 | Music Students’ Perception Towards Music Distance Learning Education During COVID-19 Pandemic: Cross-Sectional Study in Jordan Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: During COVID-19 pandemic countries have faced various levels of COVID-19 infection rates, and millions of students are affected by changing the educational process. However, many … |
Nedal Nsairat; H. Fakhouri; R. Alsawalqa; Faten Hamad; | Int. J. Interact. Mob. Technol. | 2022-03-22 |
| 484 | Mask Usage Recognition Using Vision Transformer with Transfer Learning and Data Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study found that the best classification is transfer learning and augmentation using ViT Huge-14. |
Hensel Donato Jahja; Novanto Yudistira; | arxiv-cs.CV | 2022-03-22 |
| 485 | Are You Misinformed? A Study of Covid-Related Fake News in Bengali on Facebook Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we develop machine learning models to detect fake news in Bengali automatically. |
Protik Bose Pranto; Syed Zami-Ul-Haque Navid; Protik Dey; Gias Uddin; Anindya Iqbal; | arxiv-cs.CL | 2022-03-22 |
| 486 | Multi-channel CNN to Classify Nepali Covid-19 Related Tweets Using Hybrid Features IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Because of the current COVID-19 pandemic with its increasing fears among people, it has triggered several health complications such as depression and anxiety. Such complications … |
Chiranjibi Sitaula; Tej Bahadur Shahi; | arxiv-cs.CL | 2022-03-19 |
| 487 | Understanding COVID-19 News Coverage Using Medical NLP Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we analyze news publications from CNN and The Guardian – two of the world’s most influential media organizations. |
Ali Emre Varol; Veysel Kocaman; Hasham Ul Haq; David Talby; | arxiv-cs.CL | 2022-03-19 |
| 488 | Practices to Improve Teamwork in Software Development During The COVID-19 Pandemic: An Ethnographic Study Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study aims to explore how these professionals coped with remote work during the pandemic and to identify practices that supported the team activities. |
Ronnie E. de Souza Santos; Paul Ralph; | arxiv-cs.SE | 2022-03-17 |
| 489 | Smart Learning Based on Moodle E-learning Platform and Digital Skills for University Students Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The education system is facing new challenges and requirements as a result of the rapid and complex changes in the world. It has become necessary to change and improve the current … |
H. Alrikabi; N. A. Jasim; Ban Hassan Majeed; A. Z. Abass; Ibtihal Razaq Niama ALRubee; | Int. J. Recent Contributions Eng. Sci. IT | 2022-03-16 |
| 490 | CoNTACT: A Dutch COVID-19 Adapted BERT for Vaccine Hesitancy and Argumentation Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present CoNTACT: a Dutch language model adapted to the domain of COVID-19 tweets. |
Jens Lemmens; Jens Van Nooten; Tim Kreutz; Walter Daelemans; | arxiv-cs.CL | 2022-03-14 |
| 491 | Investigating The Impact of COVID-19 on Education By Social Network Mining Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, many tweets related to the Covid-19 virus and education are considered and geo-tagged with the help of the GeoNames geographic database, which contains a large number of place names. |
Mohadese Jamalian; Hamed Vahdat-Nejad; Hamideh Hajiabadi; | arxiv-cs.CL | 2022-03-13 |
| 492 | Use of Digital Technologies in Public Health Responses to Tackle Covid-19: The Bangladesh Perspective Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve the purpose of our research, we conducted a methodical review of online content. |
Samrat Kumar Dey; Khaleda Mehrin; Lubana Akter; Mshura Akter; | arxiv-cs.CY | 2022-03-10 |
| 493 | A Novel Deep Learning Model for Hotel Demand and Revenue Prediction Amid COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We developed DemandNet, a novel deep learning framework for predicting time series data under the influence of the COVID-19 pandemic. |
Ashkan Farhangi; Arthur Huang; Zhishan Guo; | arxiv-cs.LG | 2022-03-08 |
| 494 | QCRI’s COVID-19 Disinformation Detector: A System to Fight The COVID-19 Infodemic in Social Media Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fighting the ongoing COVID-19 infodemic has been declared as one of the most important focus areas by the World Health Organization since the onset of the COVID-19 pandemic. While … |
Preslav Nakov; Firoj Alam; Yifan Zhang; A. Prakash; Fahim Dalvi; | ArXiv | 2022-03-08 |
| 495 | Efficient AI-Enabled Pneumonia Detection in Chest X-ray Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent years have witnessed the rapid development of artificial intelligence (AI) in different fields, including biomedical, in which timely detection of anomalies can play a … |
Jiangkun Wang; Miyuka Nakamura; Abderazek Ben Abdallah; | 2022 IEEE 4th Global Conference on Life Sciences and … | 2022-03-07 |
| 496 | Emotion Regulation and Dynamics of Moral Concerns During The Early COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We hypothesize that the increase of positivity is associated with a decrease of uncertainty and emotion regulation. |
Siyi Guo; Keith Burghardt; Ashwin Rao; Kristina Lerman; | arxiv-cs.SI | 2022-03-07 |
| 497 | Quantum Deep Learning for Mutant COVID-19 Strain Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: New COVID-19 epidemic strains like Delta and Omicron with increased transmissibility and pathogenicity emerge and spread across the whole world rapidly while causing high … |
YUMI JIN et. al. | ArXiv | 2022-03-04 |
| 498 | Measuring The Impact of COVID-19 on The Health and Wellbeing of Computer Science Practitioners Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: From March 2020, the COVID-19 pandemic imposed emergency remote teaching across education globally, leading to the closure of institutions across all settings. The resulting … |
T. Crick; Cathryn Knight; R. Watermeyer; | Proceedings of the 53rd ACM Technical Symposium on Computer … | 2022-03-03 |
| 499 | Automated Clustering of COVID-19 Anti-vaccine Discourse on Twitter Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An observational study of Twitter vaccine discourse is found in Ojea Quintana et al. (2021): the authors analyzed approximately six months’ of Twitter discourse — 1.3 million original tweets and 18 million retweets between December 2019 and June 2020, ranging from before to after the establishment of Covid-19 as a pandemic. |
Ignacio Ojea Quintana; Marc Cheong; Mark Alfano; Ritsaart Reimann; Colin Klein; | arxiv-cs.SI | 2022-03-03 |
| 500 | Continuous Social Distance Monitoring in Indoor Space Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 pandemic has caused over 6 million deaths since 2020. To contain the spread of the virus, social distancing is one of the most simple yet effective approaches. … |
Harry Kai-Ho Chan; Huan Li; X. Li; Hua Lu; | Proc. VLDB Endow. | 2022-03-01 |
| 501 | Measuring Changes in Regional Network Traffic Due to COVID-19 Stay-at-Home Measures Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We analyze sampled Netflow records at a medium-sized US Regional Optical Network to quantify the changes in the network traffic due to stay-at-home measures in that region. |
Jelena Mirkovic; Yebo Feng; Jun Li; | arxiv-cs.NI | 2022-03-01 |
| 502 | EHR System Tracks Prisoner’s Data Across Countries to Monitor COVID-19 in U.S. State and Federal Prisons Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The novel coronavirus (COVID-19) that was first reported at the end of 2019 has impacted almost every aspect of our lives. While healthcare workers fight the virus in the front … |
Oliver Simonoski; Izabela Mitreska; D. C. Bogatinoska; A. Hristov; | 2022 5th International Conference on Information and … | 2022-03-01 |
| 503 | A Language-independent Network to Analyze The Impact of COVID-19 on The World Via Sentiment Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Towards the end of 2019, Wuhan experienced an outbreak of novel coronavirus, which soon spread worldwide, resulting in a deadly pandemic that infected millions of people around … |
Ashima Yadav; D. Vishwakarma; | ACM Trans. Internet Techn. | 2022-02-28 |
| 504 | Editorial: Blockchain in Health Care Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the editors compiled the submissions for this review, the COVID-19 pandemic (the pandemic) swept across the world, endangering and killing millions (Worldometer, 2021) and … |
Nichola Cooper; | Frontiers in Blockchain | 2022-02-24 |
| 505 | Funding Covid-19 Research: Insights from An Exploratory Analysis Using Open Data Infrastructures Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We study the open availability of funding data in Crossref, focusing on funding data for publications that report research related to Covid-19. |
Alexis-Michel Mugabushaka; Nees Jan van Eck; Ludo Waltman; | arxiv-cs.DL | 2022-02-23 |
| 506 | Understanding How Older Adults Comprehend COVID-19 Interactive Visualizations Via Think-Aloud Protocol Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on the findings, we present design guidelines for making interactive visualizations more accessible to older adults. |
Mingming Fan; Yiwen Wang; Yuni Xie; Franklin Mingzhe Li; Chunyang Chen; | arxiv-cs.HC | 2022-02-23 |
| 507 | Data-Driven Decision Making in COVID-19 Response: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this survey paper, we summarize the progress of data-driven decision making in the response to COVID-19, including COVID-19 prevention and control, psychological counselling, financial aid, work resumption, and school re-opening. |
SHUO YU et. al. | arxiv-cs.SI | 2022-02-23 |
| 508 | Don’t Be A Victim During A Pandemic! Analysing Security and Privacy Threats in Twitter During COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper performs a large-scale study to investigate the impact of a pandemic and the lockdown periods on the security and privacy of social media users. |
Bibhas Sharma; Ishan Karunanayake; Rahat Masood; Muhammad Ikram; | arxiv-cs.CR | 2022-02-21 |
| 509 | The Influence of Work-from-home on Job Performance During COVID-19 Pandemic: Empirical Evidence Hanoi, Vietnam Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: — Many enterprises have been forced to change from office work to work-from-home (WFH) so as to protect their staff from COVID-19 pandemic. This study examines the impacts of the … |
Le Ha Anh; N. M. Trang; Nguyen Thi Phuong Linh; | International Conference on Research in Management & … | 2022-02-20 |
| 510 | Single Stock Trading with Deep Reinforcement Learning: A Comparative Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we apply Deep Reinforcement Learning (DRL) methods to automate the trading of single stock. The A2C, PPO, DDPG, TD3 and SAC deep reinforcement learning models are … |
Jun Ge; Yuanqi Qin; Yaling Li; yanjia Huang; Hao Hu; | 2022 14th International Conference on Machine Learning and … | 2022-02-18 |
| 511 | Blockchain Driven Privacy Preserving Contact Tracing Framework in Pandemics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a light-weight and fully third-party free Blockchain-Driven Contact Tracing framework (BDCT) to bridge the gap. |
Xiao Li; Weili Wu; Tiantian Chen; | arxiv-cs.CR | 2022-02-18 |
| 512 | VaccineLies: A Natural Language Resource for Learning to Recognize Misinformation About The COVID-19 and HPV Vaccines Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we present VaccineLies, a large collection of tweets propagating misinformation about two vaccines: the COVID-19 vaccines and the Human Papillomavirus (HPV) vaccines. |
Maxwell Weinzierl; Sanda Harabagiu; | arxiv-cs.CL | 2022-02-18 |
| 513 | The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We conducted a lab-based eye-tracking study to investigate how the interactivity of an AI-powered fact-checking system affects user interactions, such as dwell time, attention, and mental resources involved in using the system. |
Li Shi; Nilavra Bhattacharya; Anubrata Das; Matthew Lease; Jacek Gwidzka; | arxiv-cs.HC | 2022-02-17 |
| 514 | Schedule-based Analysis of Transmission Risk in Public Transportation Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The paper develops a transmission risk modeling framework based on the Wells-Riley model using as inputs transit operating characteristics, schedule, Origin-Destination (OD) demand, and virus characteristics. |
Jiali Zhou; Haris N. Koutsopoulos; | arxiv-cs.SI | 2022-02-17 |
| 515 | Shifting Trends of COVID-19 Tweet Sentiment with Respect to Voting Preferences in The 2020 Election Year of The United States Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We observed weak correlations between the average sentiment of COVID-19 related tweets and popular votes in two-week intervals, and the trends gradually become opposite. |
Megan Doman; Jacob Motley; Hong Qin; Mengjun Xie; Li Yang; | arxiv-cs.CL | 2022-02-15 |
| 516 | Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: During crises like COVID-19, individuals are inundated with conflicting and time-sensitive information that drives a need for rapid assessment of the trustworthiness and … |
YIXUAN ZHANG et. al. | Proceedings of the 2022 CHI Conference on Human Factors in … | 2022-02-14 |
| 517 | Fine-Grained Population Mobility Data-Based Community-Level COVID-19 Prediction Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a fine-grained population mobility data-based model (FGC-COVID) utilizing data of two geographic levels for community-level COVID-19 prediction. |
Pengyue Jia; Ling Chen; Dandan Lyu; | arxiv-cs.LG | 2022-02-13 |
| 518 | Pokémon GO to Pokémon STAY: How Covid-19 Affected Pokémon GO Players Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We address how COVID-19 has impacted the players of Pok\’emon GO by building upon existing work focusing on player gratifications and impacts in Pok\’emon GO. |
JOHN DUNHAM et. al. | arxiv-cs.HC | 2022-02-10 |
| 519 | Understanding Twitters Behavior During The Pandemic: Fake News and Fear Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In our work, we aim to explore the percentage of fake news being spread on Twitter as well as measure the sentiment of the public at the same time. |
Guillermo Romera Rodriguez; Sanjana Gautam; Andrea Tapia; | arxiv-cs.SI | 2022-02-10 |
| 520 | Audio-Based Deep Learning Frameworks for Detecting COVID-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper evaluates a wide range of audio-based deep learning frameworks applied to the breathing, cough, and speech sounds for detecting COVID-19. |
Dat Ngo; Lam Pham; Truong Hoang; Sefki Kolozali; Delaram Jarchi; | arxiv-cs.SD | 2022-02-10 |
| 521 | Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: In response to COVID-19, many countries have mandated social distancing and banned large group gatherings in order to slow down the spread of SARS-CoV-2. These social … |
GEORGE LI et. al. | arxiv-cs.AI | 2022-02-09 |
| 522 | TinyM$^2$Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents TinyM$^2$Net — a flexible system algorithm co-designed multimodal learning framework for resource constrained tiny devices. |
Hasib-Al Rashid; Pretom Roy Ovi; Carl Busart; Aryya Gangopadhyay; Tinoosh Mohsenin; | arxiv-cs.LG | 2022-02-09 |
| 523 | Analyzing Medical Data with Process Mining: A COVID-19 Case Study Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we will present some preliminary findings obtained with established process mining techniques in regard of the medical data of patients of the Uniklinik Aachen hospital affected by the recent epidemic of COVID-19. |
MARCO PEGORARO et. al. | arxiv-cs.DB | 2022-02-08 |
| 524 | Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We study the problem of multi-variate backfill for both features and targets and show how to leverage our insights for more general neural framework to improve both model predictions and evaluation We construct a detailed dataset composed of relevant signals over the past year of the pandemic. |
Harshavardhan Kamarthi; Alexander Rodr�guez; B. Aditya Prakash; | iclr | 2022-02-08 |
| 525 | Artificial Intelligence-based Analytics for Impacts of COVID-19 and Online Learning on College Students’ Mental Health Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: COVID-19, the disease caused by the novel coronavirus (SARS-CoV-2), first emerged in Wuhan, China late in December 2019. Not long after, the virus spread worldwide and was … |
Mostafa Rezapour; Scott K. Elmshaeuser; | PLOS ONE | 2022-02-07 |
| 526 | Moral Emotions Shape The Virality of COVID-19 Misinformation on Social Media IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate whether COVID-19 misinformation spreads more viral than the truth and whether the differences in the diffusion of true vs. false rumors can be explained by the moral emotions they carry. |
Kirill Solovev; Nicolas Pröllochs; | arxiv-cs.SI | 2022-02-07 |
| 527 | Artificial Intelligence-Based Analytics for Impacts of COVID-19 and Online Learning on College Students’ Mental Health Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we seek to understand how the COVID-19 pandemic and increase in online learning impact college students’ emotional wellbeing. |
Mostafa Rezapour; Scott K. Elmshaeuser; | arxiv-cs.CY | 2022-02-07 |
| 528 | A Summary of COVID-19 Datasets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This research presents a review of main datasets that are developed for COVID-19 research. |
Syed Raza Bashir; Shaina Raza; Vidhi Thakkar; Usman Naseem; | arxiv-cs.CY | 2022-02-06 |
| 529 | Virtual Reality Medical Training for COVID-19 Swab Testing and Proper Handling of Personal Protective Equipment: Development and Usability Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Efficient and riskless training of healthcare professionals is imperative as the battle against the Covid-19 pandemic still rages. Recent advances in the field of Virtual Reality … |
PAUL ZIKAS et. al. | Frontiers in Virtual Reality | 2022-02-04 |
| 530 | Simulating and Visualizing COVID-19 Contact Tracing with Corona-Warn-App for Increased Understanding of Its Privacy-preserving Design Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a visual simulation of the working of the Corona-Warn-App to demonstrate how the privacy of its users is preserved, how they’re notified of infectious contacts and how it helps in containing the spread of COVID-19. |
Nikolas Gritsch; Benjamin Tegeler; Faheem Hassan Zunjani; | arxiv-cs.CY | 2022-02-04 |
| 531 | Epidemic Dreams: Dreaming About Health During The COVID-19 Pandemic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We implemented a deep-learning algorithm that can extract mentions of medical conditions from text and applied it to two datasets collected during the pandemic: 2,888 dream reports (dreaming life experiences), and 57M tweets mentioning the pandemic (waking life experiences). |
Sanja Šćepanović; Luca Maria Aiello; Deirdre Barrett; Daniele Quercia; | arxiv-cs.SI | 2022-02-02 |
| 532 | Changes in Co-publication Patterns Among China, The European Union (28) and The United States of America, 2016-2021 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The COVID-19 global pandemic starting in January 2020 disrupted international collaborations in scholarly exchange, reducing mobility and connections across the globe. An … |
Caroline S. Wagner; Xiaojing Cai; | arxiv-cs.DL | 2022-02-01 |
| 533 | A High-resolution Global-scale Model for COVID-19 Infection Rate Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Several models have correlated COVID-19 spread with specific climatic, geophysical, and air pollution conditions, and early models had predicted the lowering of infection cases in … |
G. Coro; P. Bove; | ACM Transactions on Spatial Algorithms and Systems (TSAS) | 2022-01-28 |
| 534 | Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose minimally invasive biopsy with robot assistance under CT guidance to minimize the risk of disease transmission during tissue sampling and to improve accuracy. |
MAXIMILIAN NEIDHARDT et. al. | arxiv-cs.RO | 2022-01-28 |
| 535 | Optimize Path Planning for UAV COVID-19 Test Kits Delivery System By Hybrid Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper aims to solve an optimization problem in the UAV-enabled COVID-19 test kits delivery system. The UAV intends to find the optimal path to deliver the COVID-19 test kits … |
Yuan Xing; Charles Carlson; Holly Yuan; | 2022 IEEE 12th Annual Computing and Communication Workshop … | 2022-01-26 |
| 536 | Load-Altering Attacks Against Power Grids Under COVID-19 Low-Inertia Conditions IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we examine how an attacker could exploit these {scenarios} to cause unsafe grid operating conditions by executing load-altering attacks (LAAs) targeted at compromising hundreds of thousands of IoT-connected high-wattage loads in low-inertia power systems. |
Subhash Lakshminarayana; Juan Ospina; Charalambos Konstantinou; | arxiv-cs.CR | 2022-01-25 |
| 537 | Network-Side Digital Contact Tracing on A Large University Campus Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe a study conducted at a large public university campus in the United States which shows the efficacy of network log information for digital contact tracing and prediction of COVID-19 cases. |
Matthew L. Malloy; Lance Hartung; Steve Wangen; Suman Banerjee; | arxiv-cs.NI | 2022-01-25 |
| 538 | COVID-19 Forecasting Using New Viral Variants and Vaccination Effectiveness Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With large variabilities and different co-factors, it is difficult to use conventional mathematical models to forecast the incidence of COVID-19. |
Essam A. Rashed; Sachiko Kodera; Akimasa Hirata; | arxiv-cs.LG | 2022-01-23 |
| 539 | Exploring Auditory Acoustic Features for The Diagnosis of The Covid-19 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents the details of the automatic system for COVID-19 detection using breath, cough and speech recordings. |
Madhu R. Kamble; Jose Patino; Maria A. Zuluaga; Massimiliano Todisco; | arxiv-cs.SD | 2022-01-22 |
| 540 | Negative Information Measurement at AI Edge: A New Perspective for Mental Health Monitoring IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The outbreak of the corona virus disease 2019 (COVID-19) has caused serious harm to people’s physical and mental health. Due to the serious situation of the epidemic, a lot of … |
MIN CHEN et. al. | ACM Transactions on Internet Technology (TOIT) | 2022-01-21 |
| 541 | Blockchain Technology in Post-Covid Agriculture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Covid-19 pandemic poses great challenges to the resilience of global agriculture in response to disasters or crises. The pandemic mitigation measures prevent the spread of … |
Liang Zhao; Leilei Chen; Adnan Safi; | Proceedings of the 2022 5th International Conference on … | 2022-01-21 |
| 542 | Covid-19: Why Virtual Learning Becomes A Pedagogical Acceptance Model in Africa Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The outbreak of coronavirus pandemic has led to different regulations and changed the usual way of doing things. Considering the level of technology in Africa society before the … |
Nubi James; O. R. Vincent; N. Akande; A. Makinde; | Int. J. Emerg. Technol. Learn. | 2022-01-20 |
| 543 | Your Tweets Matter: How Social Media Sentiments Associate with COVID-19 Vaccination Rates in The US Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Objective: The aims of the study were to examine the association between social media sentiments surrounding COVID-19 vaccination and the effects on vaccination rates in the United States (US), as well as other contributing factors to the COVID-19 vaccine hesitancy. |
Ana Aleksandric; Mercy Jesuloluwa Obasanya; Sarah Melcher; Shirin Nilizadeh; Gabriela Mustata Wilson; | arxiv-cs.SI | 2022-01-20 |
| 544 | Influences of Social Media Usage on Public Attitudes and Behavior Towards COVID-19 Vaccine in The Arab World Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Objective: This study aims to identify if the social media usages factors can be used to predict attitudes and behavior towards the COVID-19 vaccines among the people in the Arab world. |
Md. Rafiul Biswas; Hazrat Ali; Raian Ali; Zubair Shah; | arxiv-cs.SI | 2022-01-20 |
| 545 | Using A Novel COVID-19 Calculator to Measure Positive U.S. Socio-Economic Impact of A COVID-19 Pre-Screening Solution (AI/ML) Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a COVID-19 calculator, synthesizing existing published calculators and data points, to measure the positive U.S. socio-economic impact of a COVID-19 AI/ML pre-screening solution (algorithm & application). |
RICHARD SWARTZBAUGH et. al. | arxiv-cs.AI | 2022-01-20 |
| 546 | Visualization and Analysis of Wearable Health Data From COVID-19 Patients Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As a primary use case, we examined the detection and communication of relevant health patterns visible in the vital signs acquired by the technology. |
SUSANNE K. SUTER et. al. | arxiv-cs.HC | 2022-01-19 |
| 547 | Writing About COVID-19 Vaccines: Emotional Profiling Unravels How Mainstream and Alternative Press Framed AstraZeneca, Pfizer and Vaccination Campaigns Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We found consistently high levels of trust/anticipation and less disgust in the way mainstream sources framed the general idea of vaccine/vaccino. |
Alfonso Semeraro; Salvatore Vilella; Giancarlo Ruffo; Massimo Stella; | arxiv-cs.CY | 2022-01-19 |
| 548 | Effect of Intervention Policies in An Agent Based Spatial Epidemic Model of Gwalior Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents comokit based case study on Gwalior region with respect to various intervention policies to curb the spread of the disease. |
W. Wilfred Godfrey; | arxiv-cs.MA | 2022-01-19 |
| 549 | COVID-19’s Impact on International Trade Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We analyze how the COVID-19 pandemic affected the trade of products between countries. With this aim, using the United Nations Comtrade database, we perform a Google matrix … |
C’elestin Coquid’e; J. Lages; L. Ermann; D. Shepelyansky; | Entropy | 2022-01-19 |
| 550 | Learn The Facts About COVID-19: Analyzing The Use of Warning Labels on TikTok Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we analyze the use of warning labels on TikTok, focusing on COVID-19 videos. |
Chen Ling; Krishna P. Gummadi; Savvas Zannettou; | arxiv-cs.SI | 2022-01-19 |
| 551 | VaccinEU: COVID-19 Vaccine Conversations on Twitter in French, German and Italian IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We study the role of online social media in influencing individuals’ opinion towards getting vaccinated by designing a large-scale collection of Twitter messages in three different languages — French, German and Italian — and providing public access to the data collected. |
Marco Di Giovanni; Francesco Pierri; Christopher Torres-Lugo; Marco Brambilla; | arxiv-cs.SI | 2022-01-17 |
| 552 | ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We studied the data for individual types of tweets and temporal changes in stance towards vaccine. |
Hamdy Mubarak; Sabit Hassan; Shammur Absar Chowdhury; Firoj Alam; | arxiv-cs.CL | 2022-01-17 |
| 553 | Computer Simulation-Based Learning: Student Self-Efficacy During COVID-19 Outbreak Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For the 17 participants included in this study, the students have overcome their existing achievements indicated by a long-term average score. |
Thaweesak Trongtirakul; Kamonnit Pusorn; Umpaporn Peerawanichkul; | arxiv-cs.CY | 2022-01-16 |
| 554 | HC-COVID IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The proliferation of social media has promoted the spread of misinformation that raises many concerns in our society. This paper focuses on a critical problem of explainable … |
Ziyi Kou; Lanyu Shang; Yang Zhang; Dong Wang; | Proceedings of the ACM on Human-Computer Interaction | 2022-01-14 |
| 555 | A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present a scalable forecasting framework with a Monte Carlo simulation to forecast the short-term bed occupancy of patients with confirmed and suspected COVID-19 in intensive … |
Jakob Heins; J. Schoenfelder; Steffen Heider; Axel R. Heller; J. Brunner; | INFORMS J. Appl. Anal. | 2022-01-14 |
| 556 | Ensemble Classifiers for Arabic Sentiment Analysis of Social Network (Twitter Data) Towards COVID-19-Related Conspiracy Theories IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Sentiment analysis has recently become increasingly important with a massive increase in online content. It is associated with the analysis of textual data generated by social … |
A. AL-HASHEDI et. al. | Appl. Comput. Intell. Soft Comput. | 2022-01-13 |
| 557 | Virtual Combinatorial Library Screening of Quinadoline B Derivatives Against SARS-CoV-2 RNA-Dependent RNA Polymerase IF:3 Summary Related Papers |