Paper Digest: Recent Papers on Anomaly Detection

October 13, 2020January 24, 2022 admin

Paper Digest Team extracted all recent Anomaly Detection related papers on our radar, and generated highlight sentences for them. The results are then sorted by relevance & date. 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 to include the most recent updates on this topic. Based in New York, Paper Digest is dedicated to producing high-quality text analysis results that people can acturally use on a daily basis. In the past 4 years, we have been serving users across the world with a number of exclusive services on ranking, search, tracking and review. This month we feature Literature Review Generator, which automatically generates literature review around any topic.

If you do not want to miss any interesting academic paper, you are welcome to sign up our free daily paper digest service to get updates on new papers published in your area every day. You are also welcome to follow us on Twitter and Linkedin to get updated with new conference digests.

Paper Digest Team
team@paperdigest.org

TABLE 1: Paper Digest: Recent Papers on Anomaly Detection

	Paper	Author(s)	Source	Date
1	Effective Anomaly Detection in Smart Home By Integrating Event Time Intervals Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To fill this gap, in this paper, we propose a novel anomaly detection method that takes the inter-event intervals into consideration.	Chenxu Jiang; Chenglong Fu; Zhenyu Zhao; Xiaojiang Du; Yuede Ji;	arxiv-cs.CR	2022-01-19
2	Online Time Series Anomaly Detection with State Space Gaussian Processes Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose r-ssGPFA, an unsupervised online anomaly detection model for uni- and multivariate time series building on the efficient state space formulation of Gaussian processes.	CHRISTIAN BOCK et. al.	arxiv-cs.LG	2022-01-18
3	Compressed Smooth Sparse Decomposition Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle this problem, we propose a fast and data-efficient method with theoretical performance guarantee that is suitable for sparse anomaly detection in images with a smooth background (smooth plus sparse signal).	Shancong Mou; Jianjun Shi;	arxiv-eess.IV	2022-01-18
4	Antimodes and Graphical Anomaly Exploration Via Depth Quantile Functions Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Depth quantile functions (DQF) encode geometric information about a point cloud via functions of a single variable, whereas each observation in a data set can be associated with a …	Gabriel Chandler; Wolfgang Polonik;	arxiv-stat.ME	2022-01-17
5	Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This study covers a variety of comparisons from mathematical comparisons, visualization in the differential domain for backpropagation, loss convergence in the training process, and anomaly detection performance.	YeongHyeon Park;	arxiv-cs.LG	2022-01-14
6	Functional Anomaly Detection: A Benchmark Study Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: It is the purpose of this paper to investigate the performance of recent techniques for anomaly detection in the functional setup on real datasets.	GUILLAUME STAERMAN et. al.	arxiv-stat.ML	2022-01-13
7	Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a method that tailors to such distinction.	LAN WANG et. al.	arxiv-cs.LG	2022-01-13
8	A Simple Method for Unsupervised Anomaly Detection: An Application to Web Time Series Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: We propose a simple anomaly detection method that is applicable to unlabeled time series data and is sufficiently tractable, even for non-technical entities, by using the density …	Keisuke Yoshihara; Kei Takahashi;	PloS one	2022-01-11
9	Soft Transducer for Patient’s Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: This work addresses the design, development and implementation of a 4.0-based wearable soft transducer for patient-centered vitals telemonitoring. In particular, first, the soft …	PASQUALE ARPAIA et. al.	Sensors (Basel, Switzerland)	2022-01-11
10	Unsupervised Deep Anomaly Detection for Medical Images Using An Improved Adversarial Autoencoder Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection has been applied in the various disease of medical practice, such as breast cancer, retinal, lung lesion, and skin disease. However, in real-world anomaly …	Haibo Zhang; Wenping Guo; Shiqing Zhang; Hongsheng Lu; Xiaoming Zhao;	Journal of digital imaging	2022-01-10
11	TPAD: Identifying Effective Trajectory Predictions Under The Guidance of Trajectory Anomaly Detection Model Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we make up for this defect and propose TPAD, a novel TP evaluation method based on the trajectory Anomaly Detection (AD) technique.	Chunnan Wang; Chen Liang; Xiang Chen; Hongzhi Wang;	arxiv-cs.LG	2022-01-09
12	Adaptive Performance Anomaly Detection for Online Service Systems Via Pattern Sketching Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these limitations, in this paper, we propose ADSketch, an interpretable and adaptive performance anomaly detection approach based on pattern sketching.	ZHUANGBIN CHEN et. al.	arxiv-cs.SE	2022-01-09
13	AnomMAN: Detect Anomaly on Multi-view Attributed Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Graph Convolution based framework, AnomMAN, to detect \textbf{Anom}aly on \textbf{M}ulti-view \textbf{A}ttributed \textbf{N}etworks.	Ling-Hao Chen; He Li; Wenhao Yang;	arxiv-cs.SI	2022-01-08
14	Detecting Anomaly in Chemical Sensors Via L1-Kernels Based Principal Component Analysis Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce a new multiplication-free kernel, which is related to the l1-norm for the anomaly detection task.	Hongyi Pan; Diaa Badawi; Ishaan Bassi; Sule Ozev; Ahmet Enis Cetin;	arxiv-eess.SP	2022-01-07
15	Applications of Signature Methods to Market Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, we propose a signatures based machine learning algorithm to detect rare or unexpected items in a given data set of time series type.	Erdinc Akyildirim; Matteo Gambara; Josef Teichmann; Syang Zhou;	arxiv-q-fin.CP	2022-01-07
16	IDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose the new method iDECODe, leveraging in-distribution equivariance for conformal OOD detection.	RAMNEET KAUR et. al.	arxiv-cs.LG	2022-01-07
17	Anomaly Detection Based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection suffers from unbalanced data since anomalies are quite rare. Synthetically generated anomalies are a solution to such ill or not fully defined data. However, …	Adin Ramirez Rivera; Adil Khan; Imad Eddine Ibrahim Bekkouch; Taimoor Shakeel Sheikh;	IEEE transactions on neural networks and learning systems	2022-01-05
18	Using Machine Learning for Anomaly Detection on A System-on-Chip Under Gamma Radiation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper focuses on a novel and different approach: using machine learning algorithms on consumer electronic level Field Programmable Gate Arrays (FPGAs) to tackle TID effects and monitor them to replace before they stop working.	EDUARDO WEBER WACHTER et. al.	arxiv-cs.LG	2022-01-05
19	Distributed Online Anomaly Detection for Virtualized Network Slicing Environment Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The alternating direction method of multipliers is adopted to achieve the solution for the distributed online PN anomaly detection.	Weili Wang; Chengchao Liang; Qianbin Chen; Lun Tang; Halim Yanikomeroglu;	arxiv-cs.NI	2022-01-05
20	Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Traffic anomalies, such as traffic accidents and unexpected crowd gathering, may endanger public safety if not handled timely. Detecting traffic anomalies in their early stage can …	Leyan Deng; Defu Lian; Zhenya Huang; Enhong Chen;	IEEE transactions on neural networks and learning systems	2022-01-04
21	Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel approach called Adaptive Memory Network with Self-supervised Learning (AMSL) to address these challenges and enhance the generalization ability in unsupervised anomaly detection.	Yuxin Zhang; Jindong Wang; Yiqiang Chen; Han Yu; Tao Qin;	arxiv-cs.LG	2022-01-02
22	TransLog: A Unified Transformer-based Framework for Log Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Therefore, we propose a unified Transformer-based framework for log anomaly detection (\ourmethod{}), which is comprised of the pretraining and adapter-based tuning stage.	HONGCHENG GUO et. al.	arxiv-cs.LG	2021-12-31
23	Detecting Absence of Bone Wall in Jugular Bulb By Image Transformation Surrogate Tasks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection in medical images is important in computer-aided diagnosis. It is a challenging task due to limited anomaly data, sample imbalance, and local differences between …	XIAOGUANG LI et. al.	IEEE transactions on medical imaging	2021-12-31
24	Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Development of predictive maintenance (PdM) solutions is one of the key aspects of Industry 4.0. In recent years, more attention has been paid to data-driven techniques, which use …	Jakub Jakubowski; Przemysław Stanisz; Szymon Bobek; Grzegorz J Nalepa;	Sensors (Basel, Switzerland)	2021-12-31
25	Machine Learning-Based Anomaly Detection Techniques in Ophthalmology Related Papers Related Patents Related Grants Related Orgs Related Experts Details	Randy Y Lu; Yelena Bagdasarova; Aaron Y Lee;	JAMA ophthalmology	2021-12-30
26	Detecting Anomalies in Retinal Diseases Using Generative, Discriminative, and Self-supervised Deep Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detectors could be pursued for retinal diagnoses based on artificial intelligence systems that may not have access to training examples for all retinal diseases in all …	Philippe Burlina; William Paul; T Y Alvin Liu; Neil M Bressler;	JAMA ophthalmology	2021-12-30
27	Log Sequence Anomaly Detection Method Based on Contrastive Adversarial Training and Dual Feature Extraction Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The log messages generated in the system reflect the state of the system at all times. The realization of autonomous detection of abnormalities in log messages can help operators …	Qiaozheng Wang; Xiuguo Zhang; Xuejie Wang; Zhiying Cao;	Entropy (Basel, Switzerland)	2021-12-30
28	Anomaly Detection in Cyber-Physical Systems: Reconstruction of A Prediction Error Feature Space Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our work proposes a novel anomaly detection framework based on error space reconstruction, where genetic algorithms are used to perform hyperparameter optimization of machine learning methods.	Nuno Oliveira; Norberto Sousa; Jorge Oliveira; Isabel Praça;	arxiv-cs.CR	2021-12-29
29	Monte Carlo EM for Deep Time Series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a simple yet effective technique for augmenting existing time series models so that they explicitly account for anomalies in the training data.	François-Xavier Aubet; Daniel Zügner; Jan Gasthaus;	arxiv-cs.LG	2021-12-29
30	Memory-Augmented Generative Adversarial Networks for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: We propose a memory-augmented deep learning model for semisupervised anomaly detection (AD). While many traditional AD methods focus on modeling the distribution of normal data, …	Ziyi Yang; Teng Zhang; Iman Soltani Bozchalooi; Eric Darve;	IEEE transactions on neural networks and learning systems	2021-12-28
31	Anomaly Detection Using Capsule Networks for High-dimensional Datasets Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This study used a capsule network for the anomaly detection task.	Inderjeet Singh; Nandyala Hemachandra;	arxiv-cs.LG	2021-12-27
32	Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This work proposes a continual anomaly detection framework to overcome both challenges and designed to learn from a stream of journal entry data experiences.	Hamed Hemati; Marco Schreyer; Damian Borth;	arxiv-cs.LG	2021-12-25
33	Dense Anomaly Detection By Robust Learning on Synthetic Negative Data IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We extend this approach with synthetic negative patches which simultaneously achieve high inlier likelihood and uniform discriminative prediction.	Matej Grcić; Petra Bevandić; Zoran Kalafatić; Siniša Šegvić;	arxiv-cs.CV	2021-12-23
34	Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The widespread use of Internet-of-Things (IoT) technologies, smartphones, and social media services generates huge amounts of data streaming at high velocity. Automatic …	Punit Rathore; Dheeraj Kumar; James C Bezdek; Sutharshan Rajasegarar; Marimuthu Palaniswami;	IEEE transactions on cybernetics	2021-12-22
35	Network Anomaly Detection in Cars: A Case for Time-Sensitive Stream Filtering and Policing Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we show how Per-Stream Filtering and Policing of IEEE Time-Sensitive Networking (TSN) can be used as a core technology for identifying misbehaving traffic flows in cars, and thereby serve as network anomaly detectors.	Philipp Meyer; Timo Häckel; Sandra Reider; Franz Korf; Thomas C. Schmidt;	arxiv-cs.NI	2021-12-21
36	UTRAD: Anomaly Detection and Localization with U-Transformer Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection is an active research field in industrial defect detection and medical disease detection. However, previous anomaly detection works suffer from unstable …	Liyang Chen; Zhiyuan You; Nian Zhang; Juntong Xi; Xinyi Le;	Neural networks : the official journal of the International …	2021-12-21
37	Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a simple yet effective clustering framework using a patch-based pretrained deep embeddings and off-the-shelf clustering methods.	Kihyuk Sohn; Jinsung Yoon; Chun-Liang Li; Chen-Yu Lee; Tomas Pfister;	arxiv-cs.CV	2021-12-21
38	Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose the Projected Sliced Wasserstein (PSW) autoencoder-based anomaly detection method.	Yurong Chen; Hui Zhang; Yaonan Wang; Q. M. Jonathan Wu; Yimin Yang;	arxiv-cs.CV	2021-12-20
39	Deep Graph-level Anomaly Detection By Glocal Knowledge Distillation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle this challenge we introduce a novel deep anomaly detection approach for GAD that learns rich global and local normal pattern information by joint random distillation of graph and node representations.	Rongrong Ma; Guansong Pang; Ling Chen; Anton van den Hengel;	arxiv-cs.CV	2021-12-19
40	Efficient Anomaly Detection from Medical Signals and Images with Convolutional Neural Networks for Internet of Medical Things (IoMT) Systems Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Deep learning is one of the most promising machine learning techniques that revolutionalized the artificial intelligence field. The known traditional and convolutional neural …	ALI A KHALIL et. al.	International journal for numerical methods in biomedical …	2021-12-18
41	The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce the first comprehensive 3D dataset for the task of unsupervised anomaly detection and localization.	Paul Bergmann; Xin Jin; David Sattlegger; Carsten Steger;	arxiv-cs.CV	2021-12-16
42	Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a simple driving event extraction method and noise reduction method for improving computational efficiency and anomaly detection performance.	YeongHyeon Park; JoonSung Lee; Myung Jin Kim; Wonseok Park;	arxiv-cs.SD	2021-12-14
43	Anomaly Detection in Particle Accelerators Using Autoencoders Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here we explore the use of autoencoder reconstruction analysis for the prediction of magnet faults in the Advanced Photon Source (APS) storage ring at Argonne National Laboratory.	Jonathan P. Edelen; Nathan M. Cook;	arxiv-physics.acc-ph	2021-12-14
44	Approaches Toward Physical and General Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce the Physical Anomalous Trajectory or Motion (PHANTOM) dataset, which contains six different video classes.	Laura Kart; Niv Cohen;	arxiv-cs.CV	2021-12-14
45	Out-of-Distribution Detection Without Class Labels Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Instead, we suggest a two stage approach.	Niv Cohen; Ron Abutbul; Yedid Hoshen;	arxiv-cs.CV	2021-12-14
46	Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper develops a method to explain the anomaly predictions of the state-of-the-art Isolation Forest anomaly detection algorithm.	Nirmal Sobha Kartha; Clément Gautrais; Vincent Vercruyssen;	arxiv-cs.LG	2021-12-13
47	A Comprehensive Study of Anomaly Detection Schemes in IoT Networks Using Machine Learning Algorithms Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The Internet of Things (IoT) consists of a massive number of smart devices capable of data collection, storage, processing, and communication. The adoption of the IoT has brought …	Abebe Diro; Naveen Chilamkurti; Van-Doan Nguyen; Will Heyne;	Sensors (Basel, Switzerland)	2021-12-13
48	DeepFIB: Self-Imputation for Time Series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle this problem, we propose a novel self-supervised learning technique for AD in time series, namely \emph{DeepFIB}.	Minhao Liu; Zhijian Xu; Qiang Xu;	arxiv-cs.LG	2021-12-12
49	Anomaly Crossing: A New Method for Video Anomaly Detection As Cross-domain Few-shot Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, to address this issue, we propose a new learning paradigm by making full use of both normal and abnormal videos for video anomaly detection.	Guangyu Sun; Zhang Liu; Lianggong Wen; Jing Shi; Chenliang Xu;	arxiv-cs.CV	2021-12-12
50	Anomaly Detection in Blockchain Networks: A Comprehensive Survey Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this article, we provide an in-depth survey regarding integration of anomaly detection models in blockchain technology.	Muneeb Ul Hassan; Mubashir Husain Rehmani; Jinjun Chen;	arxiv-cs.CR	2021-12-11
51	Improvement of Human Error Prediction Accuracy in Single-trial Analysis of Electroencephalogram Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The prevention of human error is an important task that has already been researched. Previous studies have shown that EEG signals can predict the occurrence of human errors. …	D Nishiura; I Nambu; Y Maruyama; Y Wada;	Annual International Conference of the IEEE Engineering in …	2021-12-11
52	Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Lung nodules are commonly missed in chest radiographs. We propose and evaluate P-AnoGAN, an unsupervised anomaly detection approach for lung nodules in radiographs. P-AnoGAN …	Nitish Bhatt; David Ramon Prados; Nedim Hodzic; Christos Karanassios; H R Tizhoosh;	Annual International Conference of the IEEE Engineering in …	2021-12-11
53	Unsupervised Learning Approach for Predicting Sepsis Onset in ICU Patients Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Sepsis is a life-threatening condition caused by a deregulated host response to infection. If not diagnosed at an early stage, septic patients can go into a septic shock, …	Guilherme Ramos; Erida Gjini; Luis Coelho; Margarida Silveira;	Annual International Conference of the IEEE Engineering in …	2021-12-11
54	Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-rays Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Recent advances in Deep Learning have led to the development of supervised models to detect anomalies in medical images such as pneumonia in chest X-rays. Automatic detection of …	Saman Motamed; Farzad Khalvati;	Annual International Conference of the IEEE Engineering in …	2021-12-11
55	Deep Learning-based User Authentication with Surface EMG Images of Hand Gestures Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: User authentication is an important security mechanism to prevent unauthorized accesses to systems or devices. In this paper, we propose a new user authentication method based on …	Qingqing Li; Zhirui Luo; Jun Zheng;	Annual International Conference of the IEEE Engineering in …	2021-12-11
56	Discrete Neural Representations for Explainable Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The aim of this work is to detect and automatically generate high-level explanations of anomalous events in video.	Stanislaw Szymanowicz; James Charles; Roberto Cipolla;	arxiv-cs.CV	2021-12-10
57	LUNAR: Unifying Local Outlier Detection Methods Via Graph Neural Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we begin by unifying local outlier methods by showing that they are particular cases of the more general message passing framework used in graph neural networks.	Adam Goodge; Bryan Hooi; See Kiong Ng; Wee Siong Ng;	arxiv-cs.LG	2021-12-10
58	Fast and Scalable Neuroevolution Deep Learning Architecture Search for Multivariate Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, a modified neuroevolution technique is presented which incorporates multi-level optimisation.	M. Pietroń; D. Żurek; K. Faber;	arxiv-cs.NE	2021-12-10
59	Multimedia Datasets for Anomaly Detection: A Survey Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a comprehensive survey on a variety of video, audio, as well as audio-visual datasets based on the application of anomaly detection.	Pratibha Kumari; Anterpreet Kaur Bedi; Mukesh Saini;	arxiv-cs.CV	2021-12-10
60	Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We proposed a multivariate time series anomaly detection frame-work Ymir, which leverages ensemble learning and supervisedlearning technology to efficiently learn and adapt to anomaliesin real-world system applications.	Zhanxiang Zhao;	arxiv-cs.LG	2021-12-09
61	Anomaly Detection in High-energy Physics Using A Quantum Autoencoder Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The lack of evidence for new interactions and particles at the Large Hadron Collider has motivated the high-energy physics community to explore model-agnostic data-analysis approaches to search for new physics.	Vishal S. Ngairangbam; Michael Spannowsky; Michihisa Takeuchi;	arxiv-hep-ph	2021-12-09
62	A Hierarchical Spatio-Temporal Graph Convolutional Neural Network for Anomaly Detection in Videos Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Hierarchical Spatio-Temporal Graph Convolutional Neural Network (HSTGCNN) to address these problems, the HSTGCNN is composed of multiple branches that correspond to different levels of graph representations.	XIANLIN ZENG et. al.	arxiv-cs.CV	2021-12-08
63	Abnormal Detection in Big Data Video with An Improved Autoencoder Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: With the rapid growth of video surveillance data, there is an increasing demand for big data automatic anomaly detection of large-scale video data. The detection methods using …	Yihan Bian; Xinchen Tang;	Computational intelligence and neuroscience	2021-12-08
64	Adaptive Packet Transmission in Response to Anomaly Detection in Software Defined Smart Meter Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we examine a basic smart meter network topology in mininet and address the issue of congestion over a commodity network, proposing an adaptive algorithm to cope with varying grid data delivery latencies.	Mihnea Maris; Thomas Halpin; Dubem Ezeh; Karen Miu; Jaudelice de Oliveira;	arxiv-cs.NI	2021-12-08
65	Transformaly — Two (Feature Spaces) Are Better Than One Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper suggests taking advantage of this information by using teacher-student training.	Matan Jacob Cohen; Shai Avidan;	arxiv-cs.CV	2021-12-08
66	In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we show for the first time our IA-Net-Lite industrial anomaly detection system with the novel capability of in-network data processing.	Huanzhuo Wu; Jia He; Máté Tömösközi; Zuo Xiang; Frank H. P. Fitzek;	arxiv-cs.NI	2021-12-07
67	The LHC Olympics 2020 A Community Challenge for Anomaly Detection in High Energy Physics IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. …	GREGOR KASIECZKA et. al.	Reports on progress in physics. Physical Society (Great …	2021-12-07
68	MOCCA: Multilayer One-Class Classification for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomalies are ubiquitous in all scientific fields and can express an unexpected event due to incomplete knowledge about the data distribution or an unknown process that suddenly …	FABIO VALERIO MASSOLI et. al.	IEEE transactions on neural networks and learning systems	2021-12-07
69	Statistics-Based Outlier Detection and Correction Method for Amazon Customer Reviews Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: People nowadays use the internet to project their assessments, impressions, ideas, and observations about various subjects or products on numerous social networking sites. These …	Ishani Chatterjee; Mengchu Zhou; Abdullah Abusorrah; Khaled Sedraoui; Ahmed Alabdulwahab;	Entropy (Basel, Switzerland)	2021-12-07
70	Regularity Learning Via Explicit Distribution Modeling for Skeletal Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, a novel Motion Embedder (ME) is proposed to provide a pose motion representation from the probability perspective.	SHOUBIN YU et. al.	arxiv-cs.CV	2021-12-07
71	Online False Discovery Rate Control for Anomaly Detection in Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This article proposes novel rules for false discovery rate control (FDRC) geared towards online anomaly detection in time series.	Quentin Rebjock; Barış Kurt; Tim Januschowski; Laurent Callot;	arxiv-stat.ML	2021-12-06
72	Simple Adaptive Projection with Pretrained Features for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel adaptation framework including simple linear transformation and self-attention.	Xingtai Gui;	arxiv-cs.CV	2021-12-05
73	Anomaly Detection of Wind Turbine Time Series Using Variational Recurrent Autoencoders Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we investigate the problem of ice accumulation in wind turbines by framing it as anomaly detection of multi-variate time series.	Alan Preciado-Grijalva; Victor Rodrigo Iza-Teran;	arxiv-cs.LG	2021-12-04
74	Fast Automatic Deforestation Detectors and Their Extensions for Other Spatial Objects Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose two statistical methods to tackle this problem: one based on multiple hypothesis testing with parametric distribution families, another one — on non-parametric tests.	Jesper Muren; Vilhelm Niklasson; Dmitry Otryakhin; Maxim Romashin;	arxiv-cs.CV	2021-12-02
75	SCNet: A Generalized Attention-based Model for Crack Fault Segmentation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we address an open aspect of automatic crack segmentation problem, that of generalizing and improving the performance of segmentation across a variety of scenarios, by modeling the problem differently.	Hrishikesh Sharma; Prakhar Pradhan; Balamuralidhar P;	arxiv-cs.CV	2021-12-02
76	Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Deep autoencoder (AE) has demonstrated promising performances in visual anomaly detection (VAD). Learning normal patterns on normal data, deep AE is expected to yield larger …	CHAO HUANG et. al.	IEEE transactions on cybernetics	2021-12-01
77	Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, we address automating the otherwise time-consuming task of both blade detection and extraction, together with fault detection within UAV-captured turbine blade inspection imagery.	Jack. W. Barker; Neelanjan Bhowmik; Toby. P. Breckon;	arxiv-cs.CV	2021-12-01
78	Reconstruction Student with Attention for Student-Teacher Pyramid Matching Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here we proposed a powerful method which compensates for the shortcomings of STPM.	Shinji Yamada; Kazuhiro Hotta;	arxiv-cs.CV	2021-11-30
79	Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: As the labeled anomalous medical images are usually difficult to acquire, especially for rare diseases, the deep learning based methods, which heavily rely on the large amount of …	HE ZHAO et. al.	IEEE transactions on medical imaging	2021-11-30
80	Lightweight Anomaly Detection Scheme Using Incremental Principal Component Analysis and Support Vector Machine Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Wireless Sensors Networks have been the focus of significant attention from research and development due to their applications of collecting data from various fields such as smart …	NURFAZRINA M ZAMRY et. al.	Sensors (Basel, Switzerland)	2021-11-30
81	TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML Scenarios Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Beside showing iForest training limitations, we propose here TiWS-iForest, an approach that, by leveraging weak supervision is able to reduce Isolation Forest complexity and to enhance detection performances.	Tommaso Barbariol; Gian Antonio Susto;	arxiv-cs.LG	2021-11-30
82	Anomaly-Aware Semantic Segmentation By Leveraging Synthetic-Unknown Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Observing this, we propose a novel Synthetic-Unknown Data Generation, intending to tackle the anomaly-aware semantic segmentation task.	GUAN-RONG LU et. al.	arxiv-cs.CV	2021-11-29
83	Anomaly Rule Detection in Sequence Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present a new anomaly detection framework called DUOS that enables Discovery of Utility-aware Outlier Sequential rules from a set of sequences.	Wensheng Gan; Lili Chen; Shicheng Wan; Jiahui Chen; Chien-Ming Chen;	arxiv-cs.DB	2021-11-29
84	Distributed Anomaly Detection in Edge Streams Using Frequency Based Sketch Datastructures Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose MDistrib and its variants which provides (a) faster detection of anomalous events via distributed processing with GPU support compared to other approaches, (b) better false positive guarantees than state of the art methods considering fixed space and (c) with collision aware based anomaly scoring for better accuracy results than state-of-the-art approaches.	Prateek Chanda; Malay Bhattacharya;	arxiv-cs.DC	2021-11-27
85	Automated Antenna Testing Using Encoder-Decoder-based Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new method for testing antenna arrays that records the radiating electromagnetic (EM) field using an absorbing material and evaluating the resulting thermal image series through an AI using a conditional encoder-decoder model.	Hans Hao-Hsun Hsu; Jiawen Xu; Ravi Sama; Matthias Kovatsch;	arxiv-cs.LG	2021-11-27
86	A Convolutional Autoencoder-Based Pipeline for Anomaly Detection and Classification of Periodic Variables Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a convolutional autoencoder-based pipeline as an automatic approach to search for out-of-distribution anomalous periodic variables within The Zwicky Transient Facility Catalog of Periodic Variable Stars (ZTF CPVS).	H. S. Chan; S. H. Cheung; V. Ashley Villar; Shirley Ho;	arxiv-astro-ph.SR	2021-11-27
87	Deep Learning-based Anomaly-onset Aware Remaining Useful Life Estimation of Bearings Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Remaining Useful Life (RUL) estimation of rotating machinery based on their degradation data is vital for machine supervisors. Deep learning models are effective and popular …	Pooja Vinayak Kamat; Rekha Sugandhi; Satish Kumar;	PeerJ. Computer science	2021-11-26
88	A Taxonomy of Anomalies in Log Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a taxonomy for different kinds of log data anomalies and introduce a method for analyzing such anomalies in labeled datasets.	Thorsten Wittkopp; Philipp Wiesner; Dominik Scheinert; Odej Kao;	arxiv-cs.DB	2021-11-26
89	In-painting Radiography Images for Unsupervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose space-aware memory queues for in-painting and detecting anomalies from radiography images (abbreviated as SQUID).	TIANGE XIANG et. al.	arxiv-cs.CV	2021-11-26
90	SLA$^2$P: Self-supervised Anomaly Detection with Adversarial Perturbation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel and powerful framework, dubbed as SLA$^2$P, for unsupervised anomaly detection.	YIZHOU WANG et. al.	arxiv-cs.LG	2021-11-24
91	Particle Graph Autoencoders and Differentiable, Learned Energy Mover’s Distance IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We explore the use of graph-based autoencoders, which operate on jets in their particle cloud representations and can leverage the interdependencies among the particles within a jet, for such tasks.	STEVEN TSAN et. al.	arxiv-physics.data-an	2021-11-24
92	Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we explore each step of self-supervised anomaly detection with pretext tasks.	Loic Jezequel; Ngoc-Son Vu; Jean Beaudet; Aymeric Histace;	arxiv-cs.CV	2021-11-24
93	An Explainable and Efficient Deep Learning Framework for Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Deep learning-based video anomaly detection methods have drawn significant attention in the past few years due to their superior performance. However, almost all the leading …	Chongke Wu; Sicong Shao; Cihan Tunc; Pratik Satam; Salim Hariri;	Cluster computing	2021-11-23
94	Unsupervised Anomaly Detection of MEMS in Low Illumination Based on Polarimetric Support Vector Data Description Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Low illuminated images make it challenging to conduct anomaly detection on material surface. Adding polarimetric information helps expand pixel range and recover background …	Yaokang Huang; Mei Sang; Lun Xing; Haofeng Hu; Tiegen Liu;	Optics express	2021-11-23
95	Event-based Anomaly Detection for New Physics Searches at The LHC Using Machine Learning IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper discusses model-agnostic searches for new physics at the Large Hadron Collider (LHC) using anomaly-detection techniques for the identification of event signatures that deviate from the Standard Model (SM).	S. V. Chekanov; W. Hopkins;	arxiv-hep-ph	2021-11-23
96	Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Thus, we propose a convolutional auto-encoder-based anomaly detection model for taking both less computational resources and achieving higher anomaly detection performance.	YeongHyeon Park; JongHee Jung;	arxiv-cs.CV	2021-11-21
97	Anomalous Behavior Detection-based Approach for Authenticating Smart Home System Users Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: This paper presents Duenna, an authentication framework for smart home systems (SHSs). When using controlling apps (e.g., a smartphone app), Duenna makes sure that only legitimate …	Noureddine Amraoui; Belhassen Zouari;	International journal of information security	2021-11-20
98	Online False Discovery Rate Control for Anomaly Detection in Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This article proposes novel rules for false discovery rate control (FDRC) geared towards online anomaly detection in time series.	Quentin Rebjock; Baris Kurt; Tim Januschowski; Laurent Callot;	nips	2021-11-20
99	Using Modified Isolation Forest Machine Learning Algorithm to Study The Neutral Triple Gauge Couplings at An \texorpdfstring{$e^+e^-$}{e+e-} Collider Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To overcome this difficulty, we propose a modified isolation forest algorithm, which appears to be useful in the study of neutral triple gauge couplings at the CEPC, the ILC and the FCC-ee.	Ji-Chong Yang; Yu-Chen Guo; Li-Hua Cai;	arxiv-hep-ph	2021-11-20
100	Spot The Difference: Detection of Topological Changes Via Geometric Alignment Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: As a first step towards solving such alignment problems, we propose an unsupervised algorithm for the detection of changes in image topology.	Per Steffen Czolbe; Aasa Feragen; Oswin Krause;	nips	2021-11-20
101	Future Frame Prediction Network for Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Video Anomaly detection in videos refers to the identification of events that do not conform to expected behavior. However, almost all existing methods cast this problem as the …	Weixin Luo; Wen Liu; Dongze Lian; Shenghua Gao;	IEEE transactions on pattern analysis and machine …	2021-11-19
102	Sequential Anomaly Detection with Sampling Constraints Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The problem of sequential anomaly detection is considered, where multiple data sources are monitored in real time and the goal is to identify the “anomalous” ones among them, …	Aristomenis Tsopelakos; Georgios Fellouris;	arxiv-math.ST	2021-11-18
103	LAnoBERT : System Log Anomaly Detection Based on BERT Masked Language Model Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Particularly, a template corresponding to a specific event should be defined in advance for all the log data using which the information within the log key may get lost.In this study, we propose LAnoBERT, a parser free system log anomaly detection method that uses the BERT model, exhibiting excellent natural language processing performance.	Yukyung Lee; Jina Kim; Pilsung Kang;	arxiv-cs.LG	2021-11-18
104	UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The main aspect of novelty of UN-AVOIDS is that it transforms data into a new space, which is introduced in this paper as neighborhood cumulative density function (NCDF), in which both visualization and detection are carried out.	Waleed A. Yousef; Issa Traore; William Briguglio;	arxiv-cs.LG	2021-11-18
105	UniMAP: Model-free Detection of Unclassified Noise Transients in LIGO-Virgo Data Using The Temporal Outlier Factor Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose the Unicorn Multi-window Anomaly-detection Pipeline (UniMAP): a model-free algorithm to identify and characterize transient noise leveraging the Temporal Outlier Factor (TOF) via a multi-window data-resampling scheme.	Julian Ding; Raymond Ng; Jess McIver;	arxiv-gr-qc	2021-11-17
106	Semi-supervised Automatic Seizure Detection Using Personalized Anomaly Detecting Variational Autoencoder with Behind-the-ear EEG Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Epilepsy is one of the most common neurologic diseases worldwide, and 30% of the patients live with uncontrolled seizures. For the safety of patients with epilepsy, an automatic …	Sungmin You; Baek Hwan Cho; Young-Min Shon; Dae-Won Seo; In Young Kim;	Computer methods and programs in biomedicine	2021-11-17
107	Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Different from related methods, we propose to integrate the reconstruction-based functionality into a novel self-supervised predictive architectural building block.	NICOLAE-CATALIN RISTEA et. al.	arxiv-cs.CV	2021-11-17
108	Anomaly Detection of Calcifications in Mammography Based on 11,000 Negative Cases Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: In mammography, calcifications are one of the most common signs of breast cancer. Detection of such lesions is an active area of research for computer-aided diagnosis and machine …	RUI HOU et. al.	IEEE transactions on bio-medical engineering	2021-11-17
109	Online Self-Evolving Anomaly Detection in Cloud Computing Environments Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a \emph{self-evolving anomaly detection} (SEAD) framework for cloud dependability assurance.	HAILI WANG et. al.	arxiv-cs.DC	2021-11-16
110	UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we propose UBnormal, a new supervised open-set benchmark composed of multiple virtual scenes for video anomaly detection.	ANDRA ACSINTOAE et. al.	arxiv-cs.CV	2021-11-16
111	FastFlow: Unsupervised Anomaly Detection and Localization Via 2D Normalizing Flows Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we propose FastFlow implemented with 2D normalizing flows and use it as the probability distribution estimator.	JIAWEI YU et. al.	arxiv-cs.CV	2021-11-15
112	Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose GLUE (Graph Deviation Network with Local Uncertainty Estimation), building on the recently proposed Graph Deviation Network (GDN).	Saswati Ray; Sana Lakdawala; Mononito Goswami; Chufan Gao;	arxiv-cs.LG	2021-11-15
113	Survey on Security Issues of Routing and Anomaly Detection for Space Information Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Space information networks is network systems that can receive, transmit, and process spatial information lively. It uses satellites, stratosphere airships, Unmanned Aerial …	Ming Zhuo; Leyuan Liu; Shijie Zhou; Zhiwen Tian;	Scientific reports	2021-11-15
114	Learnable Locality-Sensitive Hashing for Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel distance-based VAD method to take advantage of all the available normal data efficiently and flexibly.	Yue Lu; Congqi Cao; Yanning Zhang;	arxiv-cs.CV	2021-11-15
115	Weakly Supervised Video Anomaly Detection Based on 3D Convolution and LSTM Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Weakly supervised video anomaly detection is a recent focus of computer vision research thanks to the availability of large-scale weakly supervised video datasets. However, most …	Zhen Ma; José J M Machado; João Manuel R S Tavares;	Sensors (Basel, Switzerland)	2021-11-12
116	Through-Foliage Tracking with Airborne Optical Sectioning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present an initial light-weight and drone-operated 1D camera array that supports parallel synthetic aperture aerial imaging.	Rakesh John Amala Arokia Nathan; Indrajit Kurmi; David C. Schedl; Oliver Bimber;	arxiv-cs.CV	2021-11-12
117	Parallel Anomaly Detection Algorithm for Cybersecurity on The Highspeed Train Control System Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: With the rapid development of the high-speed train industry, the high-speed train control system has now been exposed to a complicated network environment full of dangers. This …	ZHOUKAI WANG et. al.	Mathematical biosciences and engineering : MBE	2021-11-12
118	Variation and Generality in Encoding of Syntactic Anomaly Information in Sentence Embeddings Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we aim to fill two primary gaps, focusing on the domain of syntactic anomalies.	Qinxuan Wu; Allyson Ettinger;	arxiv-cs.CL	2021-11-12
119	Exploiting The Power of Levenberg-Marquardt Optimizer with Anomaly Detection in Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we exploit the true power of LM algorithm using some real world aircraft datasets.	Wenyi Wang; John Taylor; Biswajit Bala;	arxiv-cs.LG	2021-11-11
120	Online-compatible Unsupervised Non-resonant Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose the first complete strategy for unsupervised detection of non-resonant anomalies that includes both signal sensitivity and a data-driven method for background estimation.	Vinicius Mikuni; Benjamin Nachman; David Shih;	arxiv-cs.LG	2021-11-11
121	Disentangling Physical Parameters for Anomalous Sound Detection Under Domain Shifts Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To develop a sound-monitoring system for machines, a method for detecting anomalous sound under domain shifts is proposed.	Kota Dohi; Takashi Endo; Yohei Kawaguchi;	arxiv-eess.AS	2021-11-11
122	Center-Aware Adversarial Autoencoder for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection based on subspace learning has attracted much attention, in which the compactness of subspace is commonly considered as the core concern. Most related studies …	Daoming Li; Qinghua Tao; Jiahao Liu; Huangang Wang;	IEEE transactions on neural networks and learning systems	2021-11-09
123	Few-shot Domain-adaptive Anomaly Detection for Cross-site Brain Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Early screening is essential for effective intervention and treatment of individuals with mental disorders. Functional magnetic resonance imaging (fMRI) is a noninvasive tool for …	Jianpo Su; Hui Shen; Limin Peng; Dewen Hu;	IEEE transactions on pattern analysis and machine …	2021-11-08
124	Data-Driven Anomaly Detection in High-Voltage Transformer Bushings with LSTM Auto-Encoder Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The reliability and health of bushings in high-voltage (HV) power transformers is essential in the power supply industry, as any unexpected failure can cause power outage leading …	Imene Mitiche; Tony McGrail; Philip Boreham; Alan Nesbitt; Gordon Morison;	Sensors (Basel, Switzerland)	2021-11-08
125	Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Multivariate time series anomaly detection is a widespread problem in the field of failure prevention. Fast prevention means lower repair costs and losses. The amount of sensors …	Kamil Faber; Marcin Pietron; Dominik Zurek;	Entropy (Basel, Switzerland)	2021-11-06
126	Semantic Novelty Detection in Natural Language Descriptions Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes to study a fine-grained semantic novelty detection task, which can be illustrated with the following example.	NIANZU MA et. al.	emnlp	2021-11-05
127	A Multilayer LSTM Auto-Encoder for Fetal ECG Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The paper introduces a multilayer long short-term memory (LSTM) based auto-encoder network to spot abnormalities in fetal ECG. The LSTM network was used to detect patterns in the …	Inna Skarga-Bandurova; Tetiana Biloborodova; Illia Skarha-Bandurov; Yehor Boltov; Maryna Derkach;	Studies in health technology and informatics	2021-11-04
128	Anomaly Detection from Mass Unspecific Jet Tagging IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce a novel anomaly search method based on (i) jet tagging to select interesting events, which are less likely to be produced by background processes; (ii) comparison of the untagged and tagged samples to single out features (such as bumps produced by the decay of new particles) in the latter.	J. A. Aguilar-Saavedra;	arxiv-hep-ph	2021-11-04
129	Graph Regularized Deep Sparse Representation for Unsupervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection (AD) aims to distinguish the data points that are inconsistent with the overall pattern of the data. Recently, unsupervised anomaly detection methods have …	Shicheng Li; Shumin Lai; Yan Jiang; Wenle Wang; Yugen Yi;	Computational intelligence and neuroscience	2021-11-03
130	A Critical Study on The Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper introduces the researchers of the field to a new perspective and reviews the recent deep-learning based semi-supervised video anomaly detection approaches, based on a common strategy they use for anomaly detection.	Mohammad Baradaran; Robert Bergevin;	arxiv-cs.CV	2021-11-02
131	A Modified Dynamic Time Warping (MDTW) Approach and Innovative Average Non-Self Match Distance (ANSD) Method for Anomaly Detection in ECG Recordings Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, in order to improve the efficiency and accuracy of best so far time series analysis-based ECG anomaly detection methods, a novel method, comprising a modified dynamic time warping (MDTW) and an innovative average non-self match distance (ANSD) measure, is proposed for ECG anomaly detection.	Hua-Liang Wei;	arxiv-eess.SP	2021-11-01
132	Autoencoder-based Anomaly Detection in Smart Farming Ecosystem Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an anomaly detection model for Smart Farming using an unsupervised Autoencoder machine learning model.	Mary Adkisson; Jeffrey C Kimmel; Maanak Gupta; Mahmoud Abdelsalam;	arxiv-cs.CR	2021-10-29
133	Evaluation of An Anomaly Detector for Routers Using Parameterizable Malware in An IoT Ecosystem Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This work explores the evaluation of a machine learning anomaly detector using custom-made parameterizable malware in an Internet of Things (IoT) Ecosystem.	John Carter; Spiros Mancoridis;	arxiv-cs.CR	2021-10-29
134	Real-time Detection of Anomalies in Large-scale Transient Surveys Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present two novel methods of automatically detecting anomalous transient light curves in real-time.	Daniel Muthukrishna; Kaisey S. Mandel; Michelle Lochner; Sara Webb; Gautham Narayan;	arxiv-astro-ph.IM	2021-10-29
135	Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose the Test-Time Augmentation for anomaly Detection (TTAD) technique, a TTA-based method aimed at improving anomaly detection performance.	Seffi Cohen; Niv Goldshlager; Lior Rokach; Bracha Shapira;	arxiv-cs.LG	2021-10-29
136	How to Boost Autoencoders? Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we discuss the challenges associated with boosting autoencoders and propose a framework to overcome them.	Sai Krishna; Thulasi Tholeti; Sheetal Kalyani;	arxiv-cs.LG	2021-10-28
137	OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on The Boundary Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these limitations, we propose the OoD Minimum Anomaly Score GAN (OMASGAN).	Nikolaos Dionelis;	arxiv-cs.LG	2021-10-28
138	Generalized Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We study anomaly detection for the case when the normal class consists of more than one object category.	Suresh Singh; Minwei Luo; Yu Li;	arxiv-cs.LG	2021-10-28
139	Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose Normality-Calibrated Autoencoder (NCAE), which can boost anomaly detection performance on the contaminated datasets without any prior information or explicit abnormal samples in the training phase.	Jongmin Yu; Hyeontaek Oh; Minkyung Kim; Junsik Kim;	arxiv-cs.LG	2021-10-27
140	Sensing Anomalies As Potential Hazards: Datasets and Benchmarks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We consider the problem of detecting, in the visual sensing data stream of an autonomous mobile robot, semantic patterns that are unusual (i.e., anomalous) with respect to the robot’s previous experience in similar environments.	DARIO MANTEGAZZA et. al.	arxiv-cs.RO	2021-10-27
141	Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we target the textual anomaly detection problem and propose a deep anomaly-injected support vector data description (AI-SVDD) framework.	Zeyu You; Yichu Zhou; Tao Yang; Wei Fan;	arxiv-cs.CL	2021-10-27
142	A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This survey aims to provide a cross-domain and comprehensive review of numerous eminent works in respective areas while identifying their commonalities.	MOHAMMADREZA SALEHI et. al.	arxiv-cs.CV	2021-10-26
143	Unsupervised Anomaly Detection in MR Images Using Multicontrast Information Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection in magnetic resonance imaging (MRI) is to distinguish the relevant biomarkers of diseases from those of normal tissues. In this paper, an unsupervised algorithm …	Byungjai Kim; Kinam Kwon; Changheun Oh; Hyunwook Park;	Medical physics	2021-10-26
144	DeepSense: A Physics-Guided Deep Learning Paradigm for Anomaly Detection in Soil Gas Data at Geologic CO 2 Storage Sites Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Driven by the collection of enormous amounts of streaming data from sensors, and with the emergence of the internet of things, the need for developing robust detection techniques …	Sahar Bakhshian; Katherine Romanak;	Environmental science & technology	2021-10-25
145	Patch Vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Good candidate approaches are patch-based unsupervised pipelines which have both the advantage to increase the number of input data and to capture local and fine anomaly patterns distributed in the image, while potential inconveniences are the loss of global structural information.	Verónica Muñoz-Ramírez; Nicolas Pinon; Florence Forbes; Carole Lartizen; Michel Dojat;	arxiv-eess.IV	2021-10-25
146	Latent-Insensitive Autoencoders for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we introduce Latent-Insensitive autoencoder (LIS-AE) where unlabeled data from a similar domain is utilized as negative examples to shape the latent layer (bottleneck) of a regular autoencoder such that it is only capable of reconstructing one task.	Muhammad S. Battikh; Artem A. Lenskiy;	arxiv-cs.LG	2021-10-25
147	Uncertainty Aware Anomaly Detection to Predict Errant Beam Pulses in The SNS Accelerator Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: As such, we describe the applicationof an uncertainty aware Machine Learning method, the Siamese neural network model, to predictupcoming errant beam pulses using the data from a single monitoring device.	WILLEM BLOKLAND et. al.	arxiv-physics.acc-ph	2021-10-22
148	Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a systematic literature review of the applications of GANs in anomaly detection, covering 128 papers on the subject.	Mikael Sabuhi; Ming Zhou; Cor-Paul Bezemer; Petr Musilek;	arxiv-cs.LG	2021-10-22
149	Generalized Out-of-Distribution Detection: A Survey Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Out-of-distribution (OOD) detection is critical to ensuring the reliability and safety of machine learning systems. For instance, in autonomous driving, we would like the driving …	Jingkang Yang; Kaiyang Zhou; Yixuan Li; Ziwei Liu;	arxiv-cs.CV	2021-10-21
150	Predictive Maintenance: An Autoencoder Anomaly-Based Approach for A 3 DoF Delta Robot Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Performing predictive maintenance (PdM) is challenging for many reasons. Dealing with large datasets which may not contain run-to-failure data (R2F) complicates PdM even more. …	Kiavash Fathi; Hans Wernher van de Venn; Marcel Honegger;	Sensors (Basel, Switzerland)	2021-10-21
151	Integrated Multiscale Appearance Features and Motion Information Prediction Network for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The rise of video-prediction algorithms has largely promoted the development of anomaly detection in video surveillance for smart cities and public security. However, most current …	Ting Liu; Chengqing Zhang; Liming Wang;	Computational intelligence and neuroscience	2021-10-20
152	Toward The Integration of Cyber and Physical Security Monitoring Systems for Critical Infrastructures Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Critical Infrastructures (CIs) are sensible targets. They could be physically damaged by natural or human actions, causing service disruptions, economic losses, and, in some …	Alessandro Fausto; Giovanni Battista Gaggero; Fabio Patrone; Paola Girdinio; Mario Marchese;	Sensors (Basel, Switzerland)	2021-10-20
153	Learning Not to Reconstruct Anomalies Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To mitigate this problem, we propose a novel methodology to train AEs with the objective of reconstructing only normal data, regardless of the input (i.e., normal or abnormal).	Marcella Astrid; Muhammad Zaigham Zaheer; Jae-Yeong Lee; Seung-Ik Lee;	arxiv-cs.CV	2021-10-19
154	Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To mitigate this, we propose a temporal pseudo anomaly synthesizer that generates fake-anomalies using only normal data.	Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee;	arxiv-cs.CV	2021-10-19
155	Multiresolution Dendritic Cell Algorithm for Network Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection in computer networks is a complex task that requires the distinction of normality and anomaly. Network attack detection in information systems is a constant …	David Limon-Cantu; Vicente Alarcon-Aquino;	PeerJ. Computer science	2021-10-19
156	Improving Variational Autoencoders for New Physics Detection at The LHC with Normalizing Flows Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We investigate how to improve new physics detection strategies exploiting variational autoencoders and normalizing flows for anomaly detection at the Large Hadron Collider.	PRATIK JAWAHAR et. al.	arxiv-hep-ph	2021-10-16
157	A Probabilistic Deep Motion Model for Unsupervised Cardiac Shape Anomaly Assessment Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Automatic shape anomaly detection in large-scale imaging data can be useful for screening suboptimal segmentations and pathologies altering the cardiac morphology without …	Arezoo Zakeri; Alireza Hokmabadi; Nishant Ravikumar; Alejandro F Frangi; Ali Gooya;	Medical image analysis	2021-10-16
158	Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle the above issues, we propose MemAAE (\textit{Memory-augmented Adversarial Autoencoders with Deep Reconstruction and Prediction}), a novel unsupervised anomaly detection method for time-series.	Qinfeng Xiao; Shikuan Shao; Jing Wang;	arxiv-cs.LG	2021-10-15
159	Anomaly Detection in Multi-Agent Trajectories for Automated Driving Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose the spatio-temporal graph auto-encoder for learning normal driving behaviours. Due to the lack of multi-agent trajectory datasets for anomaly detection in automated driving, we introduce our dataset using a driving simulator for normal and abnormal manoeuvres.	Julian Wiederer; Arij Bouazizi; Marco Troina; Ulrich Kressel; Vasileios Belagiannis;	arxiv-cs.RO	2021-10-15
160	Challenges for Unsupervised Anomaly Detection in Particle Physics Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study some challenges associated with variational autoencoders, such as the dependence on hyperparameters and the metric used, in the context of anomalous signal (top and $W$) jets in a QCD background.	Katherine Fraser; Samuel Homiller; Rashmish K. Mishra; Bryan Ostdiek; Matthew D. Schwartz;	arxiv-cs.LG	2021-10-13
161	Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection in medical images refers to the identification of abnormal images with only normal images in the training set. Most existing methods solve this problem with a …	KANG ZHOU et. al.	IEEE transactions on medical imaging	2021-10-13
162	Comparison of Anomaly Detectors: Context Matters Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Deep generative models are challenging the classical methods in the field of anomaly detection nowadays. Every newly published method provides evidence of outperforming its …	Vit Skvara; Jan Franca; Matej Zorek; Tomas Pevny; Vaclav Smidl;	IEEE transactions on neural networks and learning systems	2021-10-13
163	Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we consider the specific problem of remote anomaly detection based on signals that fall into the latter category over wireless channels with resource-constrained sensors.	Anders E. Kalør; Daniel Michelsanti; Federico Chiariotti; Zheng-Hua Tan; Petar Popovski;	arxiv-cs.IT	2021-10-12
164	Searches for New Physics in Collision Events Using A Statistical Technique for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper discusses a statistical anomaly-detection method for model-independent searches for new physics in collision events produced at the Large Hadron Collider (LHC).	S. V. Chekanov;	arxiv-hep-ph	2021-10-12
165	Detection of Berezinskii-Kosterlitz-Thouless Transition Via Generative Adversarial Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here, we train a Generative Adversarial Network (GAN) with the Entanglement Spectrum of a system bipartition, as extracted by means of Matrix Product States ans\atze.	D. Contessi; E. Ricci; A. Recati; M. Rizzi;	arxiv-quant-ph	2021-10-11
166	Where’s Swimmy?: Mining Unique Color Features Buried in Galaxies By Deep Anomaly Detection Using Subaru Hyper Suprime-Cam Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present the Swimmy (Subaru WIde-field Machine-learning anoMalY) survey program, a deep-learning-based search for unique sources using multicolored ($grizy$) imaging data from the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP).	TAKUMI S. TANAKA et. al.	arxiv-astro-ph.GA	2021-10-11
167	Deep Video Anomaly Detection: Opportunities and Challenges Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a comprehensive review of deep learning-based methods to detect the video anomalies from a new perspective.	Jing Ren; Feng Xia; Yemeng Liu; Ivan Lee;	arxiv-cs.CV	2021-10-11
168	Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Towards this end, we propose a novel framework for unsupervised anomaly detection and localization.	YE ZHENG et. al.	arxiv-cs.CV	2021-10-09
169	Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we interpret the reconstruction of an image as a divide-and-assemble procedure.	JINLEI HOU et. al.	iccv	2021-10-08
170	Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In light of this, this study proposes a Hankel-structured tensor version of RPCA for anomaly detection in spatiotemporal data.	Xudong Wang; Luis Miranda-Moreno; Lijun Sun;	arxiv-cs.LG	2021-10-08
171	A Hybrid Video Anomaly Detection Framework Via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose HF2-VAD, a Hybrid framework that integrates Flow reconstruction and Frame prediction seamlessly to handle Video Anomaly Detection.	Zhian Liu; Yongwei Nie; Chengjiang Long; Qing Zhang; Guiqing Li;	iccv	2021-10-08
172	Road Anomaly Detection By Partial Image Reconstruction With Segmentation Coupling Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a novel approach to the detection of unknown objects in the context of autonomous driving.	TOMAS VOJIR et. al.	iccv	2021-10-08
173	A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we consider the setting of few-shot anomaly detection in images, where only a few images are given at training.	Shelly Sheynin; Sagie Benaim; Lior Wolf;	iccv	2021-10-08
174	Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this issue, we introduce a novel and theoretically sound method, named Robust Temporal Feature Magnitude learning (RTFM), which trains a feature magnitude learning function to effectively recognise the positive instances, substantially improving the robustness of the MIL approach to the negative instances from abnormal videos.	YU TIAN et. al.	iccv	2021-10-08
175	Dance With Self-Attention: A New Look of Conditional Random Fields on Anomaly Detection in Videos Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a novel weakly supervised approach for anomaly detection, which begins with a relation-aware feature extractor to capture the multi-scale convolutional neural network (CNN) features from a video.	Didik Purwanto; Yie-Tarng Chen; Wen-Hsien Fang;	iccv	2021-10-08
176	Learning Unsupervised Metaformer for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper addresses two pivotal issues of reconstruction-based approaches to AD in images, namely, model adaptation and reconstruction gap.	Jhih-Ciang Wu; Ding-Jie Chen; Chiou-Shann Fuh; Tyng-Luh Liu;	iccv	2021-10-08
177	DRAEM – A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In addition to reconstructive approach, we cast surface anomaly detection primarily as a discriminative problem and propose a discriminatively trained reconstruction anomaly embedding model (DRAEM).	Vitjan Zavrtanik; Matej Kristan; Danijel Skocaj;	iccv	2021-10-08
178	Anomaly Detection of Water Level Using Deep Autoencoder Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection is one of the crucial tasks in daily infrastructure operations as it can prevent massive damage to devices or resources, which may then lead to catastrophic …	Isack Thomas Nicholaus; Jun Ryeol Park; Kyuil Jung; Jun Seoung Lee; Dae-Ki Kang;	Sensors (Basel, Switzerland)	2021-10-08
179	SmithNet: Strictness on Motion-Texture Coherence for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection is a key functionality in various vision systems, such as surveillance and security. In this work, we present a convolutional neural network (CNN) that supports …	Trong-Nguyen Nguyen; Sebastien Roy; Jean Meunier;	IEEE transactions on neural networks and learning systems	2021-10-08
180	Differential Anomaly Detection for Facial Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Due to their convenience and high accuracy, face recognition systems are widely employed in governmental and personal security applications to automatically recognise individuals. …	MATHIAS IBSEN et. al.	arxiv-cs.CV	2021-10-07
181	Multivariate Anomaly Detection Based on Prediction Intervals Constructed Using Deep Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we utilize prediction intervals constructed with the aid of artificial neural networks to detect anomalies in the multivariate setting.	Thabang Mathonsi; Terence L. van Zyl;	arxiv-cs.LG	2021-10-07
182	AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a novel anomaly segmentation network (AnoSeg) that can directly generate an accurate anomaly map using self-supervised learning.	Jouwon Song; Kyeongbo Kong; Ye-In Park; Seong-Gyun Kim; Suk-Ju Kang;	arxiv-eess.IV	2021-10-07
183	Generative Optimization Networks for Memory Efficient Data Generation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To combat this, we propose a novel framework called generative optimization networks (GON) that is similar to GANs, but does not use a generator, significantly reducing its memory footprint.	Shreshth Tuli; Shikhar Tuli; Giuliano Casale; Nicholas R. Jennings;	arxiv-cs.LG	2021-10-06
184	Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Technically we propose the \emph{Anomaly Transformer} with an \emph{Anomaly-Attention} mechanism to compute the association discrepancy.	Jiehui Xu; Haixu Wu; Jianmin Wang; Mingsheng Long;	arxiv-cs.LG	2021-10-06
185	A Uniform Framework for Anomaly Detection in Deep Neural Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we consider three classes of anomaly inputs, (1) natural inputs from a different distribution than the DNN is trained for, known as Out-of-Distribution (OOD) samples, (2) crafted inputs generated from ID by attackers, often known as adversarial (AD) samples, and (3) noise (NS) samples generated from meaningless data.	Fangzhen Zhao; Chenyi Zhang; Naipeng Dong; Zefeng You; Zhenxin Wu;	arxiv-cs.LG	2021-10-06
186	Hyperspectral Anomaly Detection Via Super-resolution Reconstruction with An Attention Mechanism Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Hyperspectral anomaly detection aims to classify the anomalous objects in the scene. However, the spatial resolution of the hyperspectral images is relatively low, leading to …	Dan Chong; Bingliang Hu; Hao Gao; Xiaohui Gao;	Applied optics	2021-10-06
187	An Efficient Anomaly Detection Approach Using Cube Sampling with Streaming Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we extend our previous work by proposed an efficient iForest based approach for anomaly detection using cube sampling that is effective on streaming data.	Seemandhar Jain; Prarthi Jain; Abhishek Srivastava;	arxiv-cs.LG	2021-10-05
188	LogDP: Combining Dependency and Proximity for Log-based Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, we propose a novel semi-supervised log-based anomaly detection approach, LogDP, which utilizes the dependency relationships among log events and proximity among log sequences to detect the anomalies in massive unlabeled log data.	Yongzheng Xie; Hongyu Zhang; Bo Zhang; Muhammad Ali Babar; Sha Lu;	arxiv-cs.SE	2021-10-05
189	A Multi-Scale A Contrario Method for Unsupervised Image Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we propose an a contrario framework to detect anomalies in images applying statistical analysis to feature maps obtained via convolutions.	Matias Tailanian; Pablo Musé; Álvaro Pardo;	arxiv-cs.CV	2021-10-05
190	A Maintenance Hemodialysis Mortality Prediction Model Based on Anomaly Detection Using Longitudinal Hemodialysis Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Most end-stage renal disease patients rely on hemodialysis (HD) to maintain their life, and they face a serious financial burden and high risk of mortality. Due to the current …	YU WANG et. al.	Journal of biomedical informatics	2021-10-05
191	In-Network Processing Acoustic Data for Anomaly Detection in Smart Factory Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we consider acoustic data-based anomaly detection, which is widely used in factories because sound information reflects richer internal states while videos cannot; besides, the capital investment of an audio system is more economically friendly.	Huanzhuo Wu; Yunbin Shen; Xun Xiao; Artur Hecker; Frank H. P. Fitzek;	arxiv-cs.NI	2021-10-04
192	Cross-Domain Graph Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection on attributed graphs has received increasing research attention lately due to the broad applications in various high-impact domains, such as cybersecurity, …	Kaize Ding; Kai Shu; Xuan Shan; Jundong Li; Huan Liu;	IEEE transactions on neural networks and learning systems	2021-10-01
193	Probabilistic Robust Autoencoders for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To automatically identify anomalies, we propose a new type of autoencoder (AE) which we term Probabilistic Robust autoencoder (PRAE).	Yariv Aizenbud; Ofir Lindenbaum; Yuval Kluger;	arxiv-cs.LG	2021-10-01
194	Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA) Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce a new self-supervised task, NSA, for training an end-to-end model for anomaly detection and localization using only normal data.	Hannah M. Schlüter; Jeremy Tan; Benjamin Hou; Bernhard Kainz;	arxiv-cs.CV	2021-09-30
195	Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we aim to develop more advanced deep learning models for ADS.	Chungjun Lee; Jibum Hong; DongNyeong Heo; Heeyoul Choi;	arxiv-cs.LG	2021-09-29
196	Video Abnormal Event Detection Based on One-Class Neural Network Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Video abnormal event detection is a challenging problem in pattern recognition field. Existing methods usually design the two steps of video feature extraction and anomaly …	Xiangli Xia; Yang Gao;	Computational intelligence and neuroscience	2021-09-28
197	Quantum Algorithms for Anomaly Detection Using Amplitude Estimation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we find that Liang et al.’s algorithm doesn’t actually execute.	MING-CHAO GUO et. al.	arxiv-quant-ph	2021-09-28
198	An Automated Data Engineering Pipeline for Anomaly Detection of IoT Sensor Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, an implementation of an automated data engineering pipeline for anomaly detection of IoT sensor data is studied and proposed.	Xinze Li; Baixi Zou;	arxiv-cs.LG	2021-09-28
199	Anomaly Detection for High-Dimensional Data Using Large Deviations Principle Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose an anomaly detection algorithm that can scale to high-dimensional data using concepts from the theory of large deviations.	Sreelekha Guggilam; Varun Chandola; Abani Patra;	arxiv-cs.LG	2021-09-28
200	Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a novel reconstruction-based model for anomaly detection, called Y-GAN.	Marija Ivanovska; Vitomir Štruc;	arxiv-cs.CV	2021-09-28
201	The Value of Human Data Annotation for Machine Learning Based Anomaly Detection in Environmental Systems Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection is the process of identifying unexpected data samples in datasets. Automated anomaly detection is either performed using supervised machine learning models, …	STEFANIA RUSSO et. al.	Water research	2021-09-27
202	LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose Local-Optimistic Scheduling (LOS), a method for executing periodic ML model training jobs in close proximity to the data sources, without overloading lightweight edge devices.	Soeren Becker; Florian Schmidt; Lauritz Thamsen; Ana Juan Ferrer; Odej Kao;	arxiv-cs.DC	2021-09-27
203	Visual Anomaly Detection for Images: A Survey Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we provide a comprehensive survey of the classical and deep learning-based approaches for visual anomaly detection in the literature.	Jie Yang; Ruijie Xu; Zhiquan Qi; Yong Shi;	arxiv-cs.CV	2021-09-27
204	DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose DeepAID, a general framework aiming to (1) interpret DL-based anomaly detection systems in security domains, and (2) improve the practicality of these systems based on the interpretations.	DONGQI HAN et. al.	arxiv-cs.CR	2021-09-23
205	An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a systematic and comprehensive evaluation of unsupervised and semi-supervised deep-learning based methods for anomaly detection and diagnosis on multivariate time series data from cyberphysical systems.	Astha Garg; Wenyu Zhang; Jules Samaran; Savitha Ramasamy; Chuan-Sheng Foo;	arxiv-cs.LG	2021-09-23
206	Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We thus propose Channel Randomisation as a novel data augmentation method for restricting neural network models to learn encoding of colour irregularity whilst predicting channel-randomised images to ultimately build reliable fruit-monitoring robots identifying atypical fruit qualities.	Taeyeong Choi; Owen Would; Adrian Salazar-Gomez; Grzegorz Cielniak;	arxiv-cs.RO	2021-09-21
207	DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce the DeTAVIZ interface, which is a web browser based visualization tool for quick exploration and assessment of feasibility of DL based anomaly detection in a given problem.	Błażej Leporowski; Casper Hansen; Alexandros Iosifidis;	arxiv-cs.LG	2021-09-21
208	A Simple Unified Framework for Anomaly Detection in Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a simple yet effective anomaly detection framework for deep RL algorithms that simultaneously considers random, adversarial and out-of-distribution~(OOD) state outliers.	Hongming Zhang; Ke Sun; Bo Xu; Linglong Kong; Martin Müller;	arxiv-cs.LG	2021-09-20
209	Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we present a novel dataset called the R3 Driving Dataset, composed of driving data with different qualities.	JEONGWOO OH et. al.	arxiv-cs.RO	2021-09-16
210	Low-Rank and Sparse Decomposition With Mixture of Gaussian for Hyperspectral Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Recently, the low-rank and sparse decomposition model (LSDM) has been used for anomaly detection in hyperspectral imagery. The traditional LSDM assumes that the sparse component …	Lu Li; Wei Li; Qian Du; Ran Tao;	IEEE transactions on cybernetics	2021-09-15
211	3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose 3D deep learning methods for UAD in brain MRI combined with 3D erasing and demonstrate that 3D methods clearly outperform their 2D counterpart for anomaly segmentation.	Marcel Bengs; Finn Behrendt; Julia Krüger; Roland Opfer; Alexander Schlaefer;	arxiv-eess.IV	2021-09-14
212	Anomaly Detection With Representative Neighbors Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Identifying anomalies from data has attracted increasing attention in recent years due to its broad range of potential applications. Although many efforts have been made for …	Huawen Liu; Xiaodan Xu; Enhui Li; Shichao Zhang; Xuelong Li;	IEEE transactions on neural networks and learning systems	2021-09-14
213	ConAnomaly: Content-Based Anomaly Detection for System Logs Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Enterprise systems typically produce a large number of logs to record runtime states and important events. Log anomaly detection is efficient for business management and system …	Dan Lv; Nurbol Luktarhan; Yiyong Chen;	Sensors (Basel, Switzerland)	2021-09-13
214	Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Recurrent Neural Networks are powerful machine learning frameworks that allow for data to be saved and referenced in a temporal sequence.	Joseph M. Ackerson; Dave Rushit; Seliya Jim;	arxiv-cs.LG	2021-09-13
215	Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we tackle the problem of Semi-Supervised Anomaly Segmentation (SAS) in Magnetic Resonance Images (MRI) of the brain, which is the task of automatically identifying pathologies in brain images.	Felix Meissen; Georgios Kaissis; Daniel Rueckert;	arxiv-eess.IV	2021-09-13
216	An Adaptive Protection System for Sensor Networks Based on Analysis of Neighboring Nodes Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Creation and operation of sensor systems is a complex challenge not only for industrial and military purposes but also for consumer services (smart city, smart home) and other …	JÁN GAMEC et. al.	Sensors (Basel, Switzerland)	2021-09-12
217	LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel model called Layer-wise External Attention Network (LEA-Net) for efficient image anomaly detection.	Ryoya Katafuchi; Terumasa Tokunaga;	arxiv-cs.CV	2021-09-12
218	A Secondary Immune Response Based on Co-evolutive Populations of Agents for Anomaly Detection and Characterization Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: An ABS based anomaly classifier model is presented, incorporating elements of the AIS.	Pedro Pinacho-Davidson; Matías Lermanda; Ricardo Contreras; María A. Pinninghoff;	arxiv-cs.CR	2021-09-11
219	Towards A Rigorous Evaluation of Time-series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we theoretically and experimentally reveal that the PA protocol has a great possibility of overestimating the detection performance; that is, even a random anomaly score can easily turn into a state-of-the-art TAD method.	Siwon Kim; Kukjin Choi; Hyun-Soo Choi; Byunghan Lee; Sungroh Yoon;	arxiv-cs.LG	2021-09-11
220	Enhancing Unsupervised Anomaly Detection with Score-Guided Network Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To that end, this work proposes a novel scoring network with a score-guided regularization to learn and enlarge the anomaly score disparities between normal and abnormal data.	ZONGYUAN HUANG et. al.	arxiv-cs.LG	2021-09-10
221	TENET: Temporal CNN with Attention for Anomaly Detection in Automotive Cyber-Physical Systems Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present a novel anomaly detection framework called TENET to detect anomalies induced by cyber-attacks on vehicles.	S. V. Thiruloga; V. K. Kukkala; S. Pasricha;	arxiv-cs.LG	2021-09-09
222	Detecting Attacks on IoT Devices Using Featureless 1D-CNN Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, we introduce a Featureless machine learning process to perform anomaly detection.	Arshiya Khan; Chase Cotton;	arxiv-cs.CR	2021-09-08
223	Byzantine-Robust Federated Learning Via Credibility Assessment on Non-IID Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Byzantine-robust framework for federated learning via credibility assessment on non-iid data (BRCA).	Kun Zhai; Qiang Ren; Junli Wang; Chungang Yan;	arxiv-cs.LG	2021-09-06
224	Postulating Exoplanetary Habitability Via A Novel Anomaly Detection Method Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: A profound shift in the study of cosmology came with the discovery of thousands of exoplanets and the possibility of the existence of billions of them in our Galaxy.	Jyotirmoy Sarkar; Kartik Bhatia; Snehanshu Saha; Margarita Safonova; Santonu Sarkar;	arxiv-astro-ph.EP	2021-09-06
225	Gen2Out: Detecting and Ranking Generalized Anomalies Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our main contribution is the gen2Out algorithm, that has the following desirable properties: (a) Principled and Sound anomaly scoring that obeys the axioms for detectors, (b) Doubly-general in that it detects, as well as ranks generalized anomaly — both point- and group-anomalies, (c) Scalable, it is fast and scalable, linear on input size.	Meng-Chieh Lee; Shubhranshu Shekhar; Christos Faloutsos; T. Noah Hutson; Leon Iasemidis;	arxiv-cs.LG	2021-09-06
226	Intrusion Detection Using Network Traffic Profiling and Machine Learning for IoT Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper explores the potential of using network profiling and machine learning to secure IoT against cyber-attacks.	Joseph Rose; Matthew Swann; Gueltoum Bendiab; Stavros Shiaeles; Nicholas Kolokotronis;	arxiv-cs.CR	2021-09-06
227	Self-supervised Multi-class Pre-training for Unsupervised Anomaly Detection and Segmentation in Medical Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new self-supervised pre-training method for UAD designed for MIA applications, named Multi-class Strong Augmentation via Contrastive Learning (MSACL).	YU TIAN et. al.	arxiv-eess.IV	2021-09-03
228	Deep Set Auto Encoders for Anomaly Detection in Particle Physics Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce a Deep Set Variational Autoencoder and present results on the Dark Machines Anomaly Score Challenge.	Bryan Ostdiek;	arxiv-hep-ph	2021-09-03
229	Automated Anomaly Detection Via Curiosity-Guided Search and Self-Imitation Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection is an important data mining task with numerous applications, such as intrusion detection, credit card fraud detection, and video surveillance. However, given a …	YUENING LI et. al.	IEEE transactions on neural networks and learning systems	2021-09-01
230	Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: We propose a novel unsupervised anomaly detection algorithm that can work for sequential data from any complex distribution in a truly online framework with mathematically proven …	Mine Kerpicci; Huseyin Ozkan; Suleyman Serdar Kozat;	IEEE transactions on neural networks and learning systems	2021-08-31
231	Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an end-to-end model of Deep Dual Support Vector Data description based Autoencoder (Dual-SVDAE) for anomaly detection on attributed networks, which considers both the structure and attribute for attributed networks.	Fengbin Zhang; Haoyi Fan; Ruidong Wang; Zuoyong Li; Tiancai Liang;	arxiv-cs.LG	2021-08-31
232	An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Several techniques for multivariate time series anomaly detection have been proposed recently, but a systematic comparison on a common set of datasets and metrics is lacking. This …	Astha Garg; Wenyu Zhang; Jules Samaran; Ramasamy Savitha; Chuan-Sheng Foo;	IEEE transactions on neural networks and learning systems	2021-08-31
233	Automated Detection of Ischemic Stroke and Subsequent Patient Triage in Routinely Acquired Head CT Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Advanced machine-learning (ML) techniques can potentially detect the entire spectrum of pathology through deviations from a learned norm. We investigated the utility of a weakly …	TOM FINCK et. al.	Clinical neuroradiology	2021-08-31
234	Thermal Management in Large Data Centers: Security Threats and Mitigation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we focus on this issue by analysing the potential security threats to these systems and their impact on the overall data center safety and performance.	Betty Saridou; Gueltoum Bendiab; Stavros N. Shiaeles; Basil K. Papadopoulos;	arxiv-cs.CR	2021-08-30
235	OneFlow: One-class Flow for Anomaly Detection Based on A Minimal Volume Region Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: We propose OneFlow – a flow-based one-class classifier for anomaly (outlier) detection that finds a minimal volume bounding region. Contrary to density-based methods, OneFlow is …	LUKASZ MAZIARKA et. al.	IEEE transactions on pattern analysis and machine …	2021-08-30
236	A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Detecting anomalies on graph data has two types of methods. One is pattern mining that discovers strange structures globally such as quasi-cliques, bipartite cores, or dense …	Tong Zhao; Tianwen Jiang; Neil Shah; Meng Jiang;	IEEE transactions on neural networks and learning systems	2021-08-30
237	Attract-Repel Encoder: Learning Anomaly Representation Away From Landmarks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection (AD) has attracted great interest in the data mining community. With the development of deep learning, various deep autoencoders have been used and modified to …	Jiachen Zhao; Fang Deng; Yongling Li; Jie Chen;	IEEE transactions on neural networks and learning systems	2021-08-30
238	Deep-Compact-Clustering Based Anomaly Detection Applied to Electromechanical Industrial Systems Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The rapid growth in the industrial sector has required the development of more productive and reliable machinery, and therefore, leads to complex systems. In this regard, the …	Francisco Arellano-Espitia; Miguel Delgado-Prieto; Artvin-Darien Gonzalez-Abreu; Juan Jose Saucedo-Dorantes; Roque Alfredo Osornio-Rios;	Sensors (Basel, Switzerland)	2021-08-30
239	Automatic Detection of Basal Cell Carcinoma By Hyperspectral Imaging Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The purpose of this study was to test the ability of hyperspectral imaging (HSI) combined with unsupervised anomaly detectors to automatically differentiate basal cell carcinoma …	Mihaela Antonina Calin; Sorin Viorel Parasca;	Journal of biophotonics	2021-08-30
240	High-dimensional Anomaly Detection with Radiative Return in $e^{+}e^{-}$ Collisions Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We show that machine learning methods based on semisupervised and weakly supervised learning can achieve model-independent sensitivity to the production of new particles in radiative return events.	Julia Gonski; Jerry Lai; Benjamin Nachman; Inês Ochoa;	arxiv-hep-ph	2021-08-30
241	Anomaly Detection of Defect Using Energy of Point Pattern Features Within Random Finite Set Framework Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an efficient approach for industrial defect detection that is modeled based on anomaly detection using point pattern data.	Ammar Mansoor Kamoona; Amirali Khodadadian Gostar; Alireza Bab-Hadiashar; Reza Hoseinnezhad;	arxiv-cs.CV	2021-08-27
242	End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior Through NLP-Based Log Embeddings Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a deep end-to-end framework with NLP-inspired components for identifying potentially malicious behaviors on enterprise computer networks.	Andrew Golczynski; John A. Emanuello;	arxiv-cs.AI	2021-08-27
243	Anomaly Detection on IT Operation Series Via Online Matrix Profile Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, the online matrix profile, which requires no training, is proposed to address this issue.	Shi-Ying Lan; Run-Qing Chen; Wan-Lei Zhao;	arxiv-cs.LG	2021-08-26
244	Human Readable Network Troubleshooting Based on Anomaly Detection and Feature Scoring Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we thoroughly evaluate the performance of the full system and of its individual building blocks: particularly, we consider (i) 10 anomaly detection algorithms as well as (ii) 10 attention mechanisms, that comprehensively represent the current state of the art in the respective fields.	Jose M. Navarro; Alexis Huet; Dario Rossi;	arxiv-cs.NI	2021-08-26
245	A Deep CNN Model for Anomaly Detection and Localization in Wireless Capsule Endoscopy Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Wireless capsule endoscopy (WCE) is one of the most efficient methods for the examination of gastrointestinal tracts. Computer-aided intelligent diagnostic tools alleviate the …	SAMIR JAIN et. al.	Computers in biology and medicine	2021-08-25
246	Image-based Insider Threat Detection Via Geometric Transformation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel insider threat detection method, Image-based Insider Threat Detector via Geometric Transformation (IGT), which converts the unsupervised anomaly detection into supervised image classification task, and therefore the performance can be boosted via computer vision techniques.	DONGYANG LI et. al.	arxiv-cs.CR	2021-08-24
247	Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To overcome these challenges, in this paper, we propose a novel method, Self-Supervised Learning for Graph Anomaly Detection (SL-GAD).	YU ZHENG et. al.	arxiv-cs.LG	2021-08-22
248	Research on The Fastest Detection Method for Weak Trends Under Noise Interference Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Trend anomaly detection is the practice of comparing and analyzing current and historical data trends to detect real-time abnormalities in online industrial data-streams. It has …	Guang Li; Jing Liang; Caitong Yue;	Entropy (Basel, Switzerland)	2021-08-22
249	Weakly-supervised Joint Anomaly Detection and Classification Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Thus, we propose a method that jointly handles the anomaly detection and classification in a single framework by adopting a weakly-supervised learning paradigm.	Snehashis Majhi; Srijan Das; Francois Bremond; Ratnakar Dash; Pankaj Kumar Sa;	arxiv-cs.CV	2021-08-20
250	Network Security Modeling Using NetFlow Data: Detecting Botnet Attacks in IP Traffic Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this research, we investigate the detection of botnet command and control (C&C) hosts in massive IP traffic.	Ganesh Subramaniam; Huan Chen; Ravi Varadhan; Robert Archibald;	arxiv-cs.CR	2021-08-19
251	CloudShield: Real-time Anomaly Detection in The Cloud Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose CloudShield, a practical and generalizable real-time anomaly and attack detection system for cloud computing.	Zecheng He; Ruby B. Lee;	arxiv-cs.CR	2021-08-19
252	Federated Variational Learning for Anomaly Detection in Multivariate Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle these issues, we propose an unsupervised time series anomaly detection framework in a federated fashion to continuously monitor the behaviors of interconnected devices within a network and alerts for abnormal incidents so that countermeasures can be taken before undesired consequences occur.	KAI ZHANG et. al.	arxiv-cs.LG	2021-08-18
253	A Novel Framework for Anomaly Detection for Satellite Momentum Wheel Based on Optimized SVM and Huffman-Multi-Scale Entropy Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The health status of the momentum wheel is vital for a satellite. Recently, research on anomaly detection for satellites has become more and more extensive. Previous research …	Yuqing Li; Mingjia Lei; Pengpeng Liu; Rixin Wang; Minqiang Xu;	Entropy (Basel, Switzerland)	2021-08-17
254	GCCAD: Graph Contrastive Coding for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose to leverage graph contrastive coding and present the supervised GCCAD model for contrasting abnormal nodes with normal ones in terms of their distances to the global context (e.g., the average of all nodes).	BO CHEN et. al.	arxiv-cs.LG	2021-08-17
255	DRAEM — A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: These methods are trained only on anomaly-free images, and often require hand-crafted post-processing steps to localize the anomalies, which prohibits optimizing the feature extraction for maximal detection capability.	Vitjan Zavrtanik; Matej Kristan; Danijel Skočaj;	arxiv-cs.CV	2021-08-17
256	Deep Convolutional Clustering-Based Time Series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: This paper presents a novel approach for anomaly detection in industrial processes. The system solely relies on unlabeled data and employs a 1D-convolutional neural network-based …	Gavneet Singh Chadha; Intekhab Islam; Andreas Schwung; Steven X Ding;	Sensors (Basel, Switzerland)	2021-08-15
257	Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To alleviate this assumption, we propose a dynamic bipartite graph structure to encode the inter-dependencies between time-series.	YUHANG WU et. al.	arxiv-cs.LG	2021-08-15
258	RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To alleviate this problem, we propose a robust framework using collaborative autoencoders to jointly identify normal observations from the data while learning its feature representation.	Boyang Liu; Ding Wang; Kaixiang Lin; Pang-Ning Tan; Jiayu Zhou;	ijcai	2021-08-13
259	Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce a novel task, referred to as Weakly-Supervised Spatio-Temporal Anomaly Detection (WSSTAD) in surveillance video.	JIE WU et. al.	ijcai	2021-08-13
260	Memorizing Structure-Texture Correspondence for Image Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: This work focuses on image anomaly detection by leveraging only normal images in the training phase. Most previous methods tackle anomaly detection by reconstructing the input …	KANG ZHOU et. al.	IEEE transactions on neural networks and learning systems	2021-08-13
261	Masked Contrastive Learning for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a task-specific variant of contrastive learning named masked contrastive learning, which is more befitted for anomaly detection.	Hyunsoo Cho; Jinseok Seol; Sang-goo Lee;	ijcai	2021-08-13
262	An Ensembled Anomaly Detector for Wafer Fault Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The production process of a wafer in the semiconductor industry consists of several phases such as a diffusion and associated defectivity test, parametric test, electrical wafer …	GIUSEPPE FURNARI et. al.	Sensors (Basel, Switzerland)	2021-08-13
263	Random Subspace Mixture Models for Interpretable Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a new subspace-based method to construct probabilistic models for high-dimensional data and highlight its use in anomaly detection.	Cetin Savkli; Catherine Schwartz;	arxiv-cs.LG	2021-08-13
264	Understanding The Effect of Bias in Deep Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we aim to understand the effect of a biased anomaly set on anomaly detection. Our study demonstrates scenarios in which the biased anomaly set can be useful or problematic, and provides a solid benchmark for future research.	Ziyu Ye; Yuxin Chen; Haitao Zheng;	ijcai	2021-08-13
265	Multivariate Time Series Anomaly Detection and Interpretation Using Hierarchical Inter-Metric and Temporal Embedding Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose InterFusion, an unsupervised method that simultaneously models the inter-metric and temporal dependency for MTS.	ZHIHAN LI et. al.	kdd	2021-08-12
266	Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose here instead a deep reinforcement learning-based approach that enables an end-to-end optimization of the detection of both labeled and unlabeled anomalies.	Guansong Pang; Anton van den Hengel; Chunhua Shen; Longbing Cao;	kdd	2021-08-12
267	Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these challenges, in this paper, we propose OC4Seq, a multi-scale one-class recurrent neural network for detecting anomalies in discrete event sequences.	ZHIWEI WANG et. al.	kdd	2021-08-12
268	Deep-Learning-Based Approach to Anomaly Detection Techniques for Large Acoustic Data in Machine Operation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: As the workforce shrinks, the demand for automatic, labor-saving, anomaly detection technology that can perform maintenance on advanced equipment such as vehicles has been …	Hyojung Ahn; Inchoon Yeo;	Sensors (Basel, Switzerland)	2021-08-12
269	CPNet: Cross-Parallel Network for Efficient Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, Cross-Parallel Network (CPNet) for efficient anomaly detection is proposed here to minimize computations without performance drops.	Youngsaeng Jin; Jonghwan Hong; David Han; Hanseok Ko;	arxiv-cs.CV	2021-08-10
270	Flow-based SVDD for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose FlowSVDD — a flow-based one-class classifier for anomaly/outliers detection that realizes a well-known SVDD principle using deep learning tools.	MARCIN SENDERA et. al.	arxiv-cs.LG	2021-08-10
271	P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel Patch-wise Wasserstein AutoEncoder (P-WAE) architecture to alleviate those challenges.	Yurong Chen;	arxiv-cs.CV	2021-08-09
272	Autoencoders on FPGAs for Real-time, Unsupervised New Physics Detection at 40 MHz at The Large Hadron Collider Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we show how to adapt and deploy anomaly detection algorithms based on deep autoencoders, for the unsupervised detection of new physics signatures in the extremely challenging environment of a real-time event selection system at the Large Hadron Collider (LHC).	EKATERINA GOVORKOVA et. al.	arxiv-physics.ins-det	2021-08-09
273	Transfer Learning Gaussian Anomaly Detection By Fine-Tuning Representations Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In our work, we propose a new method to fine-tune learned representations for AD in a transfer learning setting.	Oliver Rippel; Arnav Chavan; Chucai Lei; Dorit Merhof;	arxiv-cs.CV	2021-08-09
274	Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we address this challenge by proposing an adaptive anomaly detection scheme with hierarchical edge computing (HEC).	Mao V. Ngo; Tie Luo; Tony Q. S. Quek;	arxiv-cs.LG	2021-08-09
275	Ensemble Neuroevolution Based Approach for Multivariate Time Series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, a framework is shown which incorporates neuroevolution methods to boost the anomaly-detection scores of new and already known models.	Kamil Faber; Dominik Żurek; Marcin Pietroń; Kamil Piętak;	arxiv-cs.LG	2021-08-08
276	Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Considering these two points together, we propose a novel anomaly detection framework for credit card fraud detection as well as a model-explaining module responsible for prediction explanations.	Tungyu Wu; Youting Wang;	arxiv-cs.LG	2021-08-05
277	Using A Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We demonstrate how BRON can support prediction of related threat techniques and attack patterns.	Erik Hemberg; Una-May O’Reilly;	arxiv-cs.CR	2021-08-05
278	Weakly Supervised Low-Rank Representation for Hyperspectral Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: In this article, we propose a weakly supervised low-rank representation (WSLRR) method for hyperspectral anomaly detection (HAD), which formulates deep learning-based HAD into a …	WEIYING XIE et. al.	IEEE transactions on cybernetics	2021-08-04
279	Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose and evaluate P-AnoGAN, an unsupervised anomaly detection approach for lung nodules in radiographs.	Nitish Bhatt; David Ramon Prados; Nedim Hodzic; Christos Karanassios; H. R. Tizhoosh;	arxiv-cs.CV	2021-08-04
280	Log-based Anomaly Detection Without Log Parsing Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address the limitations of existing methods, we propose NeuralLog, a novel log-based anomaly detection approach that does not require log parsing.	Van-Hoang Le; Hongyu Zhang;	arxiv-cs.SE	2021-08-04
281	Efficacy of Statistical and Artificial Intelligence-based False Information Cyberattack Detection Models for Connected Vehicles Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we have evaluated three change point-based statistical models; Expectation Maximization, Cumulative Summation, and Bayesian Online Change Point Algorithms for cyberattack detection in the CV data.	Sakib Mahmud Khan; Gurcan Comert; Mashrur Chowdhury;	arxiv-cs.CR	2021-08-02
282	Explainable Deep Few-shot Anomaly Detection with Deviation Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this problem, we introduce a novel weakly-supervised anomaly detection framework to train detection models without assuming the examples illustrating all possible classes of anomaly.	Guansong Pang; Choubo Ding; Chunhua Shen; Anton van den Hengel;	arxiv-cs.CV	2021-08-01
283	HR-Crime: Human-Related Anomaly Detection in Surveillance Videos Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce HR-Crime, a subset of the UCF-Crime dataset suitable for human-related anomaly detection tasks.	Kayleigh Boekhoudt; Alina Matei; Maya Aghaei; Estefanía Talavera;	arxiv-cs.CV	2021-07-31
284	Explainable Anomaly Detection Framework for Maritime Main Engine Sensor Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: In this study, we proposed a data-driven approach to the condition monitoring of the marine engine. Although several unsupervised methods in the maritime industry have existed, …	Donghyun Kim; Gian Antariksa; Melia Putri Handayani; Sangbong Lee; Jihwan Lee;	Sensors (Basel, Switzerland)	2021-07-31
285	Extracting Grammars from A Neural Network Parser for Anomaly Detection in Unknown Formats Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we address these limitations by presenting procedures for extracting production rules from the neural network, and for using these rules to determine whether a given sentence is nominal or anomalous, when compared to structures observed within training data.	Alexander Grushin; Walt Woods;	arxiv-cs.LG	2021-07-30
286	Margin-Aware Intra-Class Novelty Identification for Medical Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle the challenges, we propose a hybrid model – Transformation-based Embedding learning for Novelty Detection (TEND) which without any out-of-distribution training data, performs novelty identification by combining both autoencoder-based and classifier-based method.	Xiaoyuan Guo; Judy Wawira Gichoya; Saptarshi Purkayastha; Imon Banerjee;	arxiv-cs.CV	2021-07-30
287	EvAn: Neuromorphic Event-Based Sparse Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: cameras are bio-inspired novel sensors that asynchronously record changes in illumination in the form of events. This principle results in significant advantages over conventional …	Lakshmi Annamalai; Anirban Chakraborty; Chetan Singh Thakur;	Frontiers in neuroscience	2021-07-29
288	Convolutional Transformer Based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we propose Convolutional Transformer based Dual Discriminator Generative Adversarial Networks (CT-D2GAN) to perform unsupervised video anomaly detection.	XINYANG FENG et. al.	arxiv-cs.CV	2021-07-28
289	Fast Wireless Sensor Anomaly Detection Based on Data Stream in Edge Computing Enabled Smart Greenhouse Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Considering these issues, a novel method (called DLSHiForest) on basis of Locality-Sensitive Hashing and time window technique in this paper is proposed to solve these problems while achieving accurate and efficient detection.	YIHONG YANG et. al.	arxiv-cs.LG	2021-07-28
290	Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel deep learning-based anomaly detection algorithm called Deep Convolutional Autoencoding Memory network (CAE-M).	Yuxin Zhang; Yiqiang Chen; Jindong Wang; Zhiwen Pan;	arxiv-cs.AI	2021-07-27
291	Discriminative-Generative Representation Learning for One-Class Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In order to improve the representation learning ability of generator, we propose a self-supervised learning framework combining generative methods and discriminative methods.	XUAN XIA et. al.	arxiv-cs.CV	2021-07-27
292	CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization Via Conditional Normalizing Flows Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a real-time model and analytically derive its relationship to prior methods.	Denis Gudovskiy; Shun Ishizaka; Kazuki Kozuka;	arxiv-cs.CV	2021-07-26
293	Anomaly Detection in Videos Using Two-Stream Autoencoder with Post Hoc Interpretability Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The growing interest in deep learning approaches to video surveillance raises concerns about the accuracy and efficiency of neural networks. However, fast and reliable detection …	Jiangfan Feng; Yukun Liang; Lin Li;	Computational intelligence and neuroscience	2021-07-26
294	Two Class Pruned Log Message Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Log messages are widely used in cloud servers and other systems. Millions of logs are generated each day which makes them important for anomaly detection. However, they are …	Amir Farzad; T Aaron Gulliver;	SN computer science	2021-07-24
295	Tail of Distribution GAN (TailGAN): Generative- Adversarial-Network-Based Boundary Formation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we create a GAN-based tail formation model for anomaly detection, the Tail of distribution GAN (TailGAN), to generate samples on the tail of the data distribution and detect anomalies near the support boundary.	Nikolaos Dionelis;	arxiv-cs.LG	2021-07-24
296	HURRA! Human Readable Router Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents HURRA, a system that aims to reduce the time spent by human operators in the process of network troubleshooting.	Jose M. Navarro; Dario Rossi;	arxiv-cs.AI	2021-07-23
297	Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a multi-perspective unsupervised learning framework for anomaly detection in CDNs.	LI YANG et. al.	arxiv-cs.CR	2021-07-23
298	Probabilistic Forecast Combination for Anomaly Detection in Building Heat Load Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose to employ a probabilistic forecast combination approach based on an ensemble of deterministic forecasts in an anomaly detection scheme that classifies observed values based on their probability under a predictive distribution.	Mario Beykirch; Tim Janke; Imed Tayeche; Florian Steinke;	arxiv-stat.AP	2021-07-22
299	Using UMAP to Inspect Audio Data for Unsupervised Anomaly Detection Under Domain-Shift Conditions Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Motivated by the difficulties encountered in the UAD-S task presented at the 2021 edition of the Detection and Classification of Acoustic Scenes and Events (DCASE) challenge, we visually inspect Uniform Manifold Approximations and Projections (UMAPs) for log-STFT, log-mel and pretrained Look, Listen and Learn (L3) representations of the DCASE UAD-S dataset.	Andres Fernandez; Mark D. Plumbley;	arxiv-cs.SD	2021-07-22
300	Anomaly Detection Via Self-organizing Map Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel unsupervised anomaly detection approach based on Self-organizing Map (SOM).	NING LI et. al.	arxiv-cs.CV	2021-07-21
301	Practical Fine-grained Learning Based Anomaly Classification for ECG Image Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: As a widely used vital sign within cardiology, Electrocardiography (ECG) provides the basis for assessing heart function and diagnosing cardiovascular diseases. Automated anomaly …	QING CAO et. al.	Artificial intelligence in medicine	2021-07-21
302	Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Abnormal behaviors in industrial systems may be early warnings on critical events that may cause severe damages to facilities and security. Thus, it is important to detect …	Qin Xie; Peng Zhang; Boseon Yu; Jaesik Choi;	IEEE transactions on neural networks and learning systems	2021-07-21
303	Boundary of Distribution Support Generator (BDSG): Sample Generation on The Boundary Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes an approach that attempts to alleviate such shortcomings.	Nikolaos Dionelis;	arxiv-cs.LG	2021-07-21
304	Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a powerful data-driven and quasi non-parametric denoising strategy for spectral data based on a tensor decomposition: the Non-negative Canonical Polyadic (CP) decomposition.	Frusque Gaetan; Michau Gabriel; Fink Olga;	arxiv-stat.ML	2021-07-20
305	A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Therefore, in this paper we investigate different methods of deep learning, including supervised and unsupervised learning, for anomaly detection applied to a quality assurance use case.	Vincent Wilmet; Sauraj Verma; Tabea Redl; Håkon Sandaker; Zhenning Li;	arxiv-cs.CV	2021-07-19
306	PICASO: Permutation-Invariant Cascaded Attentional Set Operator Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this limitation, we propose a permutation-invariant cascaded attentional set operator (PICASO).	Samira Zare; Hien Van Nguyen;	arxiv-cs.CV	2021-07-17
307	Contrastive Predictive Coding for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we close this gap by making use of the Contrastive Predictive Coding model (arXiv:1807.03748).	Puck de Haan; Sindy Löwe;	arxiv-cs.CV	2021-07-16
308	Neural Contextual Anomaly Detection for Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce Neural Contextual Anomaly Detection (NCAD), a framework for anomaly detection on time series that scales seamlessly from the unsupervised to supervised setting, and is applicable to both univariate and multivariate time series.	Chris U. Carmona; François-Xavier Aubet; Valentin Flunkert; Jan Gasthaus;	arxiv-cs.LG	2021-07-16
309	Metro Passenger-Flow Representation Via Dynamic Mode Decomposition and Its Application Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Passenger-flow anomaly detection and prediction are essential tasks for intelligent operation of the metro system. Accurate passenger-flow representation is the foundation of …	XIULAN WEI et. al.	IEEE transactions on neural networks and learning systems	2021-07-16
310	Detection of Abnormal Behavior with Self-Supervised Gaze Estimation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a single video conferencing solution using gaze estimation in preparation for these problems. ii) For anomaly detection, we present a new dataset that aggregates the values of a new gaze, head pose, etc. iii) We train newly created data on Multi Layer Perceptron (MLP) models to detect anomaly behavior based on deep learning.	Suneung-Kim; Seong-Whan Lee;	arxiv-cs.CV	2021-07-14
311	OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Human operators often diagnose industrial machinery via anomalous sounds. Given the new advances in the field of machine learning, automated acoustic anomaly detection can lead to …	Saad Abbasi; Mahmoud Famouri; Mohammad Javad Shafiee; Alexander Wong;	Sensors (Basel, Switzerland)	2021-07-14
312	Deep Learning Approaches to Earth Observation Change Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we present two different approaches to change detection (semantic segmentation and classification) that both exploit convolutional neural networks to achieve good results, which can be further refined and used in a post-processing workflow for a large variety of applications.	ANTONIO DI PILATO et. al.	arxiv-cs.CV	2021-07-13
313	Decoupling Representation Learning and Classification for GNN-based Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To be less biased by the inconsistency, we propose a simple yet effective graph SSL scheme, called Deep Cluster Infomax (DCI) for node representation learning, which captures the intrinsic graph properties in more concentrated feature spaces by clustering the entire graph into multiple parts.	YANLING WANG et. al.	sigir	2021-07-13
314	Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To better understand the characteristics of different anomaly detectors, in this paper, we provide a comprehensive review and evaluation of five popular neural networks used by six state-of-the-art methods.	Zhuangbin Chen; Jinyang Liu; Wenwei Gu; Yuxin Su; Michael R. Lyu;	arxiv-cs.SE	2021-07-13
315	Three-dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Brain Magnetic Resonance Images (MRIs) are essential for the diagnosis of neurological diseases. Recently, deep learning methods for unsupervised anomaly detection (UAD) have been …	Marcel Bengs; Finn Behrendt; Julia Krüger; Roland Opfer; Alexander Schlaefer;	International journal of computer assisted radiology and …	2021-07-12
316	LATTE: LSTM Self-Attention Based Anomaly Detection in Embedded Automotive Platforms Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present a novel anomaly detection framework called LATTE to detect cyber-attacks in Controller Area Network (CAN) based networks within automotive platforms.	Vipin K. Kukkala; Sooryaa V. Thiruloga; Sudeep Pasricha;	arxiv-cs.LG	2021-07-12
317	Anomaly Detection in Smart Manufacturing with An Application Focus on Robotic Finishing Systems: A Review Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, an overview of the components, benefits, challenges, methods, and open problems of anomaly detection in smart manufacturing and robotic finishing systems are discussed.	Tareq Tayeh; Abdallah Shami;	arxiv-cs.RO	2021-07-11
318	Anomaly Detection in Residential Video Surveillance on Edge Devices in IoT Framework Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Therefore, we propose anomaly detection for intelligent surveillance using CPU-only edge devices.	Mayur R. Parate; Kishor M. Bhurchandi; Ashwin G. Kothari;	arxiv-cs.CV	2021-07-10
319	Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: So motivated, we propose a conceptually simple entrywise approach to anomaly detection in low-rank matrices.	Vivek Farias; Andrew A Li; Tianyi Peng;	icml	2021-07-08
320	Transfer-Based Semantic Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we show that a previously overlooked strategy for anomaly detection (AD) is to introduce an explicit inductive bias toward representations transferred over from some large and varied semantic task.	Lucas Deecke; Lukas Ruff; Robert A. Vandermeulen; Hakan Bilen;	icml	2021-07-08
321	A General Framework For Detecting Anomalous Inputs to DNN Classifiers Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose an unsupervised anomaly detection framework based on the internal DNN layer representations in the form of a meta-algorithm with configurable components.	Jayaram Raghuram; Varun Chandrasekaran; Somesh Jha; Suman Banerjee;	icml	2021-07-08
322	Weakly Supervised Anomaly Segmentation in Retinal OCT Images Using An Adversarial Learning Approach Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Lesion detection is a critical component of disease diagnosis, but the manual segmentation of lesions in medical images is time-consuming and experience-demanding. These issues …	JING WANG et. al.	Biomedical optics express	2021-07-07
323	Detecting Outliers with Poisson Image Interpolation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose an alternative to image reconstruction-based and image embedding-based methods and propose a new self-supervised method to tackle pathological anomaly detection.	JEREMY TAN et. al.	arxiv-cs.CV	2021-07-06
324	New Methods and Datasets for Group Anomaly Detection From Fundamental Physics Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Then we propose a realistic synthetic benchmark dataset (LHCO2020) for the development of group anomaly detection algorithms.	Gregor Kasieczka; Benjamin Nachman; David Shih;	arxiv-stat.ML	2021-07-06
325	Anomaly Detection Using Edge Computing in Video Surveillance System: Review Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we surveyed various methodologies developed to detect anomalies in intelligent video surveillance.	Devashree R. Patrikar; Mayur Rajram Parate;	arxiv-cs.CV	2021-07-06
326	Using Progressive Context Encoders for Anomaly Detection in Digital Pathology Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here, we combine progressive generative adversarial networks with a flexible adversarial autoencoder architecture capable of learning the normal distribution of WSIs of normal skin tissue at extremely high resolution and demonstrate its anomaly detection performance.	R. GILLARD et. al.	bio.pathology	2021-07-04
327	A Typology of Data Anomalies Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper therefore introduces a general typology of anomalies that offers a clear and tangible definition of the different types of anomalies in datasets.	Ralph Foorthuis;	arxiv-cs.LG	2021-07-04
328	A Collective Anomaly Detection Method Over Bitcoin Network Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The main purpose of this study is to present a new method for detecting anomalies in Bitcoin with more appropriate efficiency.	Mohammad Javad Shayegan; Hamid Reza Sabor;	arxiv-cs.CR	2021-07-02
329	A Weakly Supervised Gas-Path Anomaly Detection Method for Civil Aero-Engines Based on Mapping Relationship Mining of Gas-Path Parameters and Improved Density Peak Clustering Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Gas-path anomalies account for more than 90% of all civil aero-engine anomalies. It is essential to develop accurate gas-path anomaly detection methods. Therefore, a weakly …	Hao Sun; Xuyun Fu; Shisheng Zhong;	Sensors (Basel, Switzerland)	2021-07-01
330	Interpretable Anomaly Detection in Event Sequences Via Sequence Matching and Visual Comparison Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection is a common analytical task that aims to identify rare cases that differ from the typical cases that make up the majority of a dataset. When analyzing event …	SHUNAN GUO et. al.	IEEE transactions on visualization and computer graphics	2021-06-30
331	Anomaly Detection: How to Artificially Increase Your F1-Score with A Biased Evaluation Protocol Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we show that F1-score and AVPR are highly sensitive to the contamination rate.	Damien Fourure; Muhammad Usama Javaid; Nicolas Posocco; Simon Tihon;	arxiv-cs.LG	2021-06-30
332	One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a general-purpose application for steel anomaly detection that consists of the following four components.	Takato Yasuno; Junichiro Fujii; Sakura Fukami;	arxiv-cs.CV	2021-06-30
333	Towards Anomaly Detection in Smart Grids By Combining Complex Events Processing and SNMP Objects Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes the architecture and the fundamental methodology of an anomaly detector, which by continuously monitoring Simple Network Management Protocol data and by processing it as complex-events, is able to timely recognize patterns of faults and relevant cyber-attacks.	Massimiliano Leone Itria; Enrico Schiavone; Nicola Nostro;	arxiv-cs.CR	2021-06-28
334	MStream: Fast Anomaly Detection in Multi-Aspect Streams Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our work aims to define a streaming multi-aspect data anomaly detection framework, termed MStream which can detect unusual group anomalies as they occur, in a dynamic manner.	Siddharth Bhatia; Arjit Jain; Pan Li; Ritesh Kumar; Bryan Hooi;	www	2021-06-25
335	Few-shot Network Anomaly Detection Via Cross-network Meta-learning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Taking advantage of this potential, in this work, we tackle the problem of few-shot network anomaly detection by (1) proposing a new family of graph neural networks – Graph Deviation Networks (GDN) that can leverage a small number of labeled anomalies for enforcing statistically significant deviations between abnormal and normal nodes on a network; and (2) equipping the proposed GDN with a new cross-network meta-learning algorithm to realize few-shot network anomaly detection by transferring meta-knowledge from multiple auxiliary networks.	Kaize Ding; Qinghai Zhou; Hanghang Tong; Huan Liu;	www	2021-06-25
336	SDFVAE: Static and Dynamic Factorized VAE for Anomaly Detection of Multivariate CDN KPIs Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a robust and noise-resilient anomaly detection mechanism using multivariate KPIs.	LIANG DAI et. al.	www	2021-06-25
337	Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Weakly supervised anomaly detection aims at learning an anomaly detector from a limited amount of labeled data and abundant unlabeled data. Recent works build deep neural networks …	YINGJIE ZHOU et. al.	IEEE transactions on neural networks and learning systems	2021-06-25
338	A New Video Synopsis Based Approach Using Stereo Camera Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The model we developed has been tested and verified separately for single camera and dual camera systems.	Talha Dilber; Mehmet Serdar Guzel; Erkan Bostanci;	arxiv-cs.CV	2021-06-23
339	AURORA: A Unified FRamework FOR Anomaly Detection on Multivariate Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The ability to accurately and consistently discover anomalies in time series is important in many applications. Fields such as finance (fraud detection), information security …	LIN ZHANG et. al.	Data mining and knowledge discovery	2021-06-23
340	Efficient Optical Proximity Correction Based on Virtual Edge and Mask Pixelation with Two-phase Sampling Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Optical proximity correction (OPC) is a widely used resolution enhancement technique (RET) in optical lithography to improve the image fidelity and process robustness. The …	Guodong Chen; Sikun Li; Xiangzhao Wang;	Optics express	2021-06-22
341	Detecting Anomalous User Behavior in Remote Patient Monitoring Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present an anomaly detection model for RPM utilizing IoMT and smart home devices.	Deepti Gupta; Maanak Gupta; Smriti Bhatt; Ali Saman Tosun;	arxiv-cs.LG	2021-06-22
342	Influence of Features on Accuracy of Anomaly Detection for An Energy Trading System Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The biggest problem with conventional anomaly signal detection using features was that it was difficult to use it in real time and it requires processing of network signals. …	Hoon Ko; Kwangcheol Rim; Isabel Praça;	Sensors (Basel, Switzerland)	2021-06-21
343	TS2Vec: Towards Universal Representation of Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents TS2Vec, a universal framework for learning representations of time series in an arbitrary semantic level.	ZHIHAN YUE et. al.	arxiv-cs.LG	2021-06-19
344	Rare and Different: Anomaly Scores from A Combination of Likelihood and Out-of-distribution Models to Detect New Physics at The LHC Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new method to define anomaly scores and apply this to particle physics collider events.	Sascha Caron; Luc Hendriks; Rob Verheyen;	arxiv-hep-ph	2021-06-18
345	BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we exploit this vulnerability by designing a new type of targeted structural poisoning attacks to a representative regression-based GAD system termed OddBall.	YULIN ZHU et. al.	arxiv-cs.LG	2021-06-18
346	A New Weighted Fuzzy C-means Clustering for Workload Monitoring in Cloud Datacenter Platforms Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The rapid growth in virtualization solutions has driven the widespread adoption of cloud computing paradigms among various industries and applications. This has led to a growing …	Saloua El Motaki; Ali Yahyaouy; Hamid Gualous; Jalal Sabor;	Cluster computing	2021-06-17
347	Anomaly Detection in Dynamic Graphs Via Transformer Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To overcome these challenges, in this paper, we present a novel Transformer-based Anomaly Detection framework for DYnamic graphs (TADDY).	YIXIN LIU et. al.	arxiv-cs.LG	2021-06-17
348	A Convolutional Neural Network for Improved Anomaly-Based Network Intrusion Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Cybersecurity protects and recovers computer systems and networks from cyber attacks. The importance of cybersecurity is growing commensurately with people’s increasing reliance …	Isra Al-Turaiki; Najwa Altwaijry;	Big data	2021-06-17
349	Anomaly Detection in Video Sequences: A Benchmark and Computational Model Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle these problems, we contribute a new Large-scale Anomaly Detection (LAD) database as the benchmark for anomaly detection in video sequences, which is featured in two aspects.	Boyang Wan; Wenhui Jiang; Yuming Fang; Zhiyuan Luo; Guanqun Ding;	arxiv-cs.CV	2021-06-16
350	X-MAN: Explaining Multiple Sources of Anomalies in Video Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our objective is to detect anomalies in video while also automatically explaining the reason behind the detector’s response.	Stanislaw Szymanowicz; James Charles; Roberto Cipolla;	arxiv-cs.CV	2021-06-16
351	FastAno: Fast Anomaly Detection Via Spatio-temporal Patch Transformation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these shortcomings, we propose spatial rotation transformation (SRT) and temporal mixing transformation (TMT) to generate irregular patch cuboids within normal frame cuboids in order to enhance the learning of normal features.	Chaewon Park; MyeongAh Cho; Minhyeok Lee; Sangyoun Lee;	arxiv-cs.CV	2021-06-16
352	Towards Total Recall in Industrial Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we extend on this line of work and propose PatchCore, which uses a maximally representative memory bank of nominal patch-features.	KARSTEN ROTH et. al.	arxiv-cs.CV	2021-06-15
353	Variational Quantum Anomaly Detection: Unsupervised Mapping of Phase Diagrams on A Physical Quantum Computer Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here, we propose variational quantum anomaly detection, an unsupervised quantum machine learning algorithm to analyze quantum data from quantum simulation.	Korbinian Kottmann; Friederike Metz; Joana Fraxanet; Niccolo Baldelli;	arxiv-quant-ph	2021-06-15
354	Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, to further push forward this direction with a comprehensive study in both algorithm and system design, we build FedIoT platform that contains FedDetect algorithm for on-device anomaly data detection and a system design for realistic evaluation of federated learning on IoT devices.	TUO ZHANG et. al.	arxiv-cs.LG	2021-06-15
355	Time Series Anomaly Detection for Cyber-Physical Systems Via Neural System Identification and Bayesian Filtering Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Recent advances in AIoT technologies have led to an increasing popularity of utilizing machine learning algorithms to detect operational failures for cyber-physical systems (CPS).	Cheng Feng; Pengwei Tian;	arxiv-cs.LG	2021-06-15
356	Searching for Changing-state AGNs in Massive Datasets — I: Applying Deep Learning and Anomaly Detection Techniques to Find AGNs with Anomalous Variability Behaviours Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here we present an anomaly detection (AD) technique designed to identify AGN light curves with anomalous behaviors in massive datasets.	P. SÁNCHEZ-SÁEZ et. al.	arxiv-astro-ph.IM	2021-06-14
357	A Comprehensive Survey on Graph Anomaly Detection with Deep Learning IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this survey, we aim to provide a systematic and comprehensive review of the contemporary deep learning techniques for graph anomaly detection.	XIAOXIAO MA et. al.	arxiv-cs.LG	2021-06-14
358	Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The Variational AutoEncoder (VAE) has become one of the most popular models for anomaly detection in applications such as lesion detection in medical images. The VAE is a …	Haleh Akrami; Anand Joshi; Sergul Aydore; Richard Leahy;	Information processing in medical imaging : proceedings of …	2021-06-14
359	Graph Neural Network-Based Anomaly Detection in Multivariate Time Series IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Given high-dimensional time series data (e.g., sensor data), how can we detect anomalous events, such as system faults and attacks?	Ailin Deng; Bryan Hooi;	arxiv-cs.LG	2021-06-13
360	RadArnomaly: Protecting Radar Systems from Data Manipulation Attacks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a deep learning-based method for detecting anomalies in radar system data streams.	SHAI COHEN et. al.	arxiv-cs.CR	2021-06-13
361	Multiresolution Knowledge Distillation for Anomaly Detection IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here, we propose to use the "distillation" of features at various layers of an expert network, which is pre-trained on ImageNet, into a simpler cloner network to tackle both issues.	Mohammadreza Salehi; Niousha Sadjadi; Soroosh Baselizadeh; Mohammad H. Rohban; Hamid R. Rabiee;	cvpr	2021-06-11
362	HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel anomaly detection model for multivariate time series with \underline{HI}gh-order \underline{F}eature \underline{I}nteractions (HIFI).	Liwei Deng; Xuanhao Chen; Yan Zhao; Kai Zheng;	arxiv-cs.LG	2021-06-11
363	Glancing at The Patch: Anomaly Localization With Global and Local Feature Comparison Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose an unsupervised patch-based approach that gives due consideration to both the global and local information.	Shenzhi Wang; Liwei Wu; Lei Cui; Yujun Shen;	cvpr	2021-06-11
364	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we propose a two-stage framework for building anomaly detectors using normal training data only.	Chun-Liang Li; Kihyuk Sohn; Jinsung Yoon; Tomas Pfister;	cvpr	2021-06-11
365	Pixel-Wise Anomaly Detection in Complex Driving Scenes Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Recent approaches have focused on either leveraging segmentation uncertainty to identify anomalous areas or re-synthesizing the image from the semantic label map to find dissimilarities with the input image. In this work, we demonstrate that these two methodologies contain complementary information and can be combined to produce robust predictions for anomaly segmentation.	Giancarlo Di Biase; Hermann Blum; Roland Siegwart; Cesar Cadena;	cvpr	2021-06-11
366	MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we develop a multiple instance self-training framework (MIST) to efficiently refine task-specific discriminative representations with only video-level annotations.	Jia-Chang Feng; Fa-Ting Hong; Wei-Shi Zheng;	cvpr	2021-06-11
367	Unsupervised Anomaly Detection Ensembles Using Item Response Theory Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We use Item Response Theory (IRT) — a class of models used in educational psychometrics to assess student and test question characteristics — to construct an unsupervised anomaly detection ensemble.	Sevvandi Kandanaarachchi;	arxiv-stat.ML	2021-06-11
368	Predicting Next Local Appearance for Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a local anomaly detection method in videos.	Pankaj Raj Roy; Guillaume-Alexandre Bilodeau; Lama Seoud;	arxiv-cs.CV	2021-06-10
369	Self-Trained One-class Classification for Unsupervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we focus on unsupervised AD problems whose entire training data are unlabeled and may contain both normal and anomalous samples.	JINSUNG YOON et. al.	arxiv-cs.LG	2021-06-10
370	Implicit Field Learning for Unsupervised Anomaly Detection in Medical Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a novel unsupervised out-of-distribution detection method for medical images based on implicit fields image representations.	Sergio Naval Marimont; Giacomo Tarroni;	arxiv-eess.IV	2021-06-09
371	Semi-Supervised Anomaly Detection in Video-Surveillance Scenes in The Wild Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Surveillance cameras are being installed in many primary daily living places to maintain public safety. In this video-surveillance context, anomalies occur only for a very short …	Mohammad Ibrahim Sarker; Cristina Losada-Gutiérrez; Marta Marrón-Romera; David Fuentes-Jiménez; Sara Luengo-Sánchez;	Sensors (Basel, Switzerland)	2021-06-09
372	Dual-Modality Vehicle Anomaly Detection Via Bilateral Trajectory Tracing Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we proposed a dual-modality modularized methodology for the robust detection of abnormal vehicles.	JINGYUAN CHEN et. al.	arxiv-cs.CV	2021-06-09
373	Comparison of Deep Learning-based Methods in Multimodal Anomaly Detection: A Case Study in Human-robot Collaboration Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Human-Robot Collaboration (HRC) has been widely used in daily life and industry for maximizing the advantages of humans and robots, respectively. However, the internal modeling …	Lin Yang; Wu Yan; Hongmin Wu;	Science progress	2021-06-09
374	DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a method, DASVDD, that jointly learns the parameters of an autoencoder while minimizing the volume of an enclosing hyper-sphere on its latent representation.	Hadi Hojjati; Narges Armanfard;	arxiv-cs.LG	2021-06-09
375	Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this article, a modular deep learning algorithm for anomaly detection on time series datasets is presented that allows for an easy integration of such transfer learning capabilities.	Benjamin Maschler; Tim Knodel; Michael Weyrich;	arxiv-cs.LG	2021-06-09
376	Spot The Difference: Detection of Topological Changes Via Geometric Alignment Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: As a first step towards solving such alignment problems, we propose an unsupervised algorithm for the detection of changes in image topology.	Steffen Czolbe; Aasa Feragen; Oswin Krause;	arxiv-cs.CV	2021-06-09
377	Sketch-Based Streaming Anomaly Detection in Dynamic Graphs Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our method is the first streaming approach that incorporates dense subgraph search to detect graph anomalies in constant memory and time.	Siddharth Bhatia; Mohit Wadhwa; Philip S. Yu; Bryan Hooi;	arxiv-cs.DS	2021-06-08
378	Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Timely detection of abrupt anomalies is crucial for real-time monitoring and security of modern systems producing high-dimensional data. With this goal, we propose effective and …	Mehmet Necip Kurt; Yasin Ylmaz; Xiaodong Wang;	IEEE transactions on pattern analysis and machine …	2021-06-08
379	Deep Random Projection Outlyingness for Unsupervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, the original random projection outlyingness measure is modified and associated with a neural network to obtain an unsupervised anomaly detection method able to handle multimodal normality.	Martin Bauw; Santiago Velasco-Forero; Jesus Angulo; Claude Adnet; Olivier Airiau;	arxiv-eess.SP	2021-06-08
380	MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose MemStream, a streaming multi-aspect anomaly detection framework, allowing us to detect unusual events as they occur while being resilient to concept drift.	Siddharth Bhatia; Arjit Jain; Shivin Srivastava; Kenji Kawaguchi; Bryan Hooi;	arxiv-cs.LG	2021-06-07
381	Mean-Shifted Contrastive Loss for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new loss function which can overcome failure modes of both center-loss and contrastive-loss methods.	Tal Reiss; Yedid Hoshen;	arxiv-cs.CV	2021-06-07
382	Subtle Anomaly Detection in MRI Brain Scans: Application to Biomarkers Extraction in Patients with ‘de Novo’ Parkinson’s Disease Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we investigated the ability of deep learning models to detect anomalies in magnetic resonance imaging (MRI) brain scans of recently diagnosed and untreated (‘de novo’) patients with Parkinson’s disease (PD).	V. MUNOZ-RAMIREZ et. al.	med.health-informatics	2021-06-05
383	Robust Unsupervised Video Anomaly Detection By Multipath Frame Prediction Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Video anomaly detection is commonly used in many applications, such as security surveillance, and is very challenging. A majority of recent video anomaly detection approaches …	XUANZHAO WANG et. al.	IEEE transactions on neural networks and learning systems	2021-06-04
384	ToyADMOS2: Another Dataset of Miniature-machine Operating Sounds for Anomalous Sound Detection Under Domain Shift Conditions Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a new large-scale dataset called ToyADMOS2 for anomaly detection in machine operating sounds (ADMOS).	NOBORU HARADA et. al.	arxiv-eess.AS	2021-06-04
385	Anomaly Detection Using Signal Segmentation and One-Class Classification in Diffusion Process of Semiconductor Manufacturing Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: This paper proposes a new diagnostic method for sensor signals collected during semiconductor manufacturing. These signals provide important information for predicting the quality …	Kyuchang Chang; Youngji Yoo; Jun-Geol Baek;	Sensors (Basel, Switzerland)	2021-06-04
386	Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Motivated by the recent surge of criminal activities with cross-cryptocurrency trades, we introduce a new topological perspective to structural anomaly detection in dynamic multilayer networks.	Dorcas Ofori-Boateng; Ignacio Segovia Dominguez; Murat Kantarcioglu; Cuneyt G. Akcora; Yulia R. Gel;	arxiv-cs.CR	2021-06-03
387	Data Augmentation and Pre-trained Networks for Extremely Low Data Regimes Unsupervised Visual Inspection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we aim to compare three approaches based on deep pre-trained features when varying the quantity of available data in MVTec AD: KNN, Mahalanobis, and PaDiM.	Pierre Gutierrez; Antoine Cordier; Thaïs Caldeira; Théophile Sautory;	arxiv-cs.CV	2021-06-02
388	Local Anomaly Detection for Multivariate Time Series By Temporal Dependency Based on Poisson Model Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Multivariate time series data are invasive in different domains, ranging from data center supervision and e-commerce data to financial transactions. This kind of data presents an …	Seif-Eddine Benkabou; Khalid Benabdeslem; Vivien Kraus; Kilian Bourhis; Bruno Canitia;	IEEE transactions on neural networks and learning systems	2021-06-02
389	E2E-LIADE: End-to-End Local Invariant Autoencoding Density Estimation Model for Anomaly Target Detection in Hyperspectral Image Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Hyperspectral anomaly target detection (also known as hyperspectral anomaly detection (HAD)] is a technique aiming to identify samples with atypical spectra. Although some density …	KAI JIANG et. al.	IEEE transactions on cybernetics	2021-06-02
390	Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection (AD) using hyperspectral images (HSIs) is of great interest for deep space exploration and Earth observations. This article proposes a weakly supervised …	Tao Jiang; Weiying Xie; Yunsong Li; Jie Lei; Qian Du;	IEEE transactions on neural networks and learning systems	2021-05-31
391	CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose an extended mutual information (EMI) metric to mine the internal correlation structure among different data features, which enhances the data reconstruction capability of CSCAD.	Huiling Qin; Xianyuan Zhan; Yu Zheng;	arxiv-cs.LG	2021-05-30
392	Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Thus, this paper presents a compact and performance-preserved framework, Anomaly Detection with Frequency-Aware Randomization (ADFAR).	Rongzhou Bao; Jiayi Wang; Hai Zhao;	arxiv-cs.CL	2021-05-30
393	The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for The Large Hadron Collider IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe the outcome of a data challenge conducted as part of the Dark Machines Initiative and the Les Houches 2019 workshop on Physics at TeV colliders.	T. AARRESTAD et. al.	arxiv-hep-ph	2021-05-28
394	A Survey on Anomaly Detection for Technical Systems Using LSTM Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this article, a survey on state-of-the-art anomaly detection using deep neural and especially long short-term memory networks is conducted.	Benjamin Lindemann; Benjamin Maschler; Nada Sahlab; Michael Weyrich;	arxiv-cs.LG	2021-05-28
395	Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Photovoltaic (PV) plants typically suffer from a significant degradation in performance over time due to multiple factors. Operation and maintenance systems aim at increasing the …	VESNA DIMITRIEVSKA et. al.	Sensors (Basel, Switzerland)	2021-05-27
396	Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To show the usefulness of this definition, we include a case study of Big Data algorithms with a real-world time-series problem provided by the company ArcelorMittal, and compare the proposal with an evaluation method.	JACINTO CARRASCO et. al.	arxiv-cs.LG	2021-05-26
397	Anomaly Detection and Failure Root Cause Analysis in (Micro)Service-Based Cloud Applications: A Survey Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The objective of this survey is to provide a structured overview and a qualitative analysis of currently available techniques for anomaly detection and root cause analysis in modern multi-service applications.	Jacopo Soldani; Antonio Brogi;	arxiv-cs.SE	2021-05-26
398	MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We demonstrate the planning and control stages are more vulnerable to transient faults than the visual perception stage in the common Perception-Planning-Control (PPC) compute pipeline.	YU-SHUN HSIAO et. al.	arxiv-cs.RO	2021-05-26
399	Performance Analysis of A Foreground Segmentation Neural Network Model Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present an ablation study of FgSegNet_v2, analysing its three stages: (i) Encoder, (ii) Feature Pooling Module and (iii) Decoder.	Joel Tomás Morais; António Ramires Fernandes; André Leite Ferreira; Bruno Faria;	arxiv-cs.CV	2021-05-25
400	Conformal Anomaly Detection on Spatio-Temporal Observations with Missing Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We develop a distribution-free, unsupervised anomaly detection method called ECAD, which wraps around any regression algorithm and sequentially detects anomalies.	Chen Xu; Yao Xie;	arxiv-stat.AP	2021-05-25
401	CI-dataset and DetDSCI Methodology for Detecting Too Small and Too Large Critical Infrastructures in Satellite Images: Airports and Electrical Substations As Case Study Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents (1) a smart Critical Infrastructure dataset, named CI-dataset, organised into two scales, small and large scales critical infrastructures and (2) a two-level resolution-independent critical infrastructure detection (DetDSCI) methodology that first determines the spatial resolution of the input image using a classification model, then analyses the image using the appropriate detector for that spatial resolution.	Francisco Pérez-Hernández; José Rodríguez-Ortega; Yassir Benhammou; Francisco Herrera; Siham Tabik;	arxiv-cs.CV	2021-05-25
402	Deep Visual Anomaly Detection with Negative Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose anomaly detection with negative learning (ADNL), which employs the negative learning concept for the enhancement of anomaly detection by utilizing a very small number of labeled anomaly data as compared with the normal data during training.	Jin-Ha Lee; Marcella Astrid; Muhammad Zaigham Zaheer; Seung-Ik Lee;	arxiv-cs.CV	2021-05-23
403	Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To overcome this issue, this paper proposes a novel strategy to transform the input data into a more meaningful representation that could be used for anomaly detection.	YINGJIE ZHOU et. al.	arxiv-cs.LG	2021-05-22
404	Accelerated Aging in Normal Breast Tissue of Women with Breast Cancer Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: DNA methylation alterations have similar patterns in normal aging tissue and in cancer. In this study, we investigated breast tissue-specific age-related DNA methylation …	SHOGHAG PANJARIAN et. al.	Breast cancer research : BCR	2021-05-22
405	Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we show our method’s superiority over the conventional Autoencoder methods by comparing it with AUROC on the MVTec AD dataset.	Masaki Nakanishi; Kazuki Sato; Hideo Terada;	arxiv-eess.IV	2021-05-21
406	Multi-Perspective Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we build upon the deep support vector data description algorithm and address multi-perspective anomaly detection using three different fusion techniques, i.e., early fusion, late fusion, and late fusion with multiple decoders.	Peter Jakob; Manav Madan; Tobias Schmid-Schirling; Abhinav Valada;	arxiv-cs.CV	2021-05-20
407	Anomaly Detection of Test-Time Evasion Attacks Using Class-conditional Generative Adversarial Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose an attack detector based on class-conditional Generative Adversarial Networks (GANs).	Hang Wang; David J. Miller; George Kesidis;	arxiv-cs.LG	2021-05-20
408	Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes two novel data-driven SAX-based symbolic representations, distinguished by their discretization steps.	Konstantinos Bountrogiannis; George Tzagkarakis; Panagiotis Tsakalides;	arxiv-cs.IR	2021-05-20
409	End-to-End Deep One-Class Learning for Anomaly Detection in UAV Video Stream Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: In recent years, the use of drones for surveillance tasks has been on the rise worldwide. However, in the context of anomaly detection, only normal events are available for the …	Slim Hamdi; Samir Bouindour; Hichem Snoussi; Tian Wang; Mohamed Abid;	Journal of imaging	2021-05-19
410	Unsupervised Mapping of Phase Diagrams of 2D Systems from Infinite Projected Entangled-pair States Via Deep Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We demonstrate how to map out the phase diagram of a two dimensional quantum many body system with no prior physical knowledge by applying deep \textit{anomaly detection} to ground states from infinite projected entangled pair state simulations.	Korbinian Kottmann; Philippe Corboz; Maciej Lewenstein; Antonio Acín;	arxiv-quant-ph	2021-05-19
411	Anomaly Detection in COVID-19 Time-Series Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection and explanation in big volumes of real-world medical data, such as those pertaining to COVID-19, pose some challenges. First, we are dealing with time-series …	Hajar Homayouni; Indrakshi Ray; Sudipto Ghosh; Shlok Gondalia; Michael G Kahn;	SN computer science	2021-05-19
412	Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Specifically, we propose a stacking block-wise reconstruction framework with a weight-sharing scheme for the multivariate time series data with similarities among channels.	Wenkai Li; Wenbo Hu; Ning Chen; Cheng Feng;	arxiv-cs.LG	2021-05-18
413	Meteorological and Human Mobility Data on Predicting COVID-19 Cases By A Novel Hybrid Decomposition Method with Anomaly Detection Analysis: A Case Study in The Capitals of Brazil Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: In 2020, Brazil was the leading country in COVID-19 cases in Latin America, and capital cities were the most severely affected by the outbreak. Climates vary in Brazil due to the …	Tiago Tiburcio da Silva; Rodrigo Francisquini; Mariá C V Nascimento;	Expert systems with applications	2021-05-18
414	Anomaly Detection with Convolutional Graph Neural Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We devise an autoencoder based strategy to facilitate anomaly detection for boosted jets, employing Graph Neural Networks (GNNs) to do so.	Oliver Atkinson; Akanksha Bhardwaj; Christoph Englert; Vishal S. Ngairangbam; Michael Spannowsky;	arxiv-hep-ph	2021-05-17
415	STEP-GAN: A One-Class Anomaly Detection Model with Applications to Power System Security Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a novel structure for the multi-generator generative adversarial network (GAN) to address the challenges of detecting adversarial attacks.	M. Adiban; A. Safari; G. Salvi;	icassp	2021-05-16
416	On The Detection of Pitch-Shifted Voice: Machines and Human Listeners Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a performance comparison between human listeners and a simple algorithm for the task of speech anomaly detection.	D. Looney; N. D. Gaubitch;	icassp	2021-05-16
417	Flow-Based Self-Supervised Density Estimation for Anomalous Sound Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To develop a machine sound monitoring system, a method for detecting anomalous sound is proposed.	K. Dohi; T. Endo; H. Purohit; R. Tanabe; Y. Kawaguchi;	icassp	2021-05-16
418	Towards Parkinson�s Disease Prognosis Using Self-Supervised Learning and Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose to tackle the problem as a semi-supervised anomaly detection task, where we model the physiological patterns of healthy subjects instead.	H. JIANG et. al.	icassp	2021-05-16
419	Fourier Transformation Autoencoders for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper introduces Fourier Trans-forms into AutoEncoders to demonstrate how the inclusion of a frequency domain presents less noisy features for a deep learning network to detect anomalies.	D. Lappas; V. Argyriou; D. Makris;	icassp	2021-05-16
420	Learning Discriminative Features for Semi-Supervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we consolidate the model?s discriminative power by introducing a transfer learning scheme to anomaly detection, thereby the model suffers less perturbation caused by pollution.	Z. Feng; J. Tang; Y. Dou; G. Wu;	icassp	2021-05-16
421	Sequential Adversarial Anomaly Detection with Deep Fourier Kernel Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a novel adversarial detector for the anomalous sequence when there are only one-class training samples.	S. Zhu; H. S. Yuchi; M. Zhang; Y. Xie;	icassp	2021-05-16
422	Low-Rank on Graphs Plus Temporally Smooth Sparse Decomposition for Anomaly Detection in Spatiotemporal Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce an unsupervised tensor-based anomaly detection method that takes the sparse and temporally continuous nature of anomalies into account.	S. E. Sofuoglu; S. Aviyente;	icassp	2021-05-16
423	Real-Time Synchronization in Neural Networks for Multivariate Time Series Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a mathematical formulation of neural network layers, which generate a synchronized representation from asynchronous multivariate input.	A. Abdulaal; T. Lancewicki;	icassp	2021-05-16
424	Voting-Based Ensemble Model for Network Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a machine learning framework based on XGBoost and deep neural networks to classify normal traffic and anomalous traffic.	T. -H. Yang; Y. -T. Lin; C. -L. Wu; C. -Y. Wang;	icassp	2021-05-16
425	Collective Anomaly Detection in High-dimensional VAR Models Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new method for detecting a collective anomaly in VAR models.	Hyeyoung Maeng; Idris Eckley; Paul Fearnhead;	arxiv-stat.ME	2021-05-16
426	Classification of Expert-Novice Level Using Eye Tracking And Motion Data Via Conditional Multimodal Variational Autoencoder Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a semi-supervised anomaly detection approach that requires only sensor data of experts for training and identifies those of novices as anomalies.	Y. Akamatsu; K. Maeda; T. Ogawa; M. Haseyama;	icassp	2021-05-16
427	An Accuracy Network Anomaly Detection Method Based on Ensemble Model Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper introduces an ensemble model, which is a powerful technique to increase accuracy on network anomaly detection.	F. Liu; X. Li; W. Xiong; H. Jiang; G. Xie;	icassp	2021-05-16
428	Unveiling Anomalous Nodes Via Random Sampling and Consensus on Graphs Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The present paper develops a graph-based sampling and consensus (GraphSAC) approach to effectively detect anomalous nodes in large-scale graphs.	V. N. Ioannidis; D. Berberidis; G. B. Giannakis;	icassp	2021-05-16
429	Robust Graph Autoencoder for Hyperspectral Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In order to tackle these problems, we propose a robust graph autoencoder (RGAE) for hyperspectral anomaly detection.	G. Fan; Y. Ma; J. Huang; X. Mei; J. Ma;	icassp	2021-05-16
430	Fden: Mining Effective Information of Features in Detecting Network Anomalies Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel method to effectively leverage the features in detecting network anomalies, named FDEn, consisting of flow-based Feature Derivation (FD) and prior knowledge incorporated Ensemble models (Enpk).	B. Li; et al.	icassp	2021-05-16
431	Hybrid Model for Network Anomaly Detection with Gradient Boosting Decision Trees and Tabtransformer Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this pa-per, we present our solution for the ICASSP 2021 Network Anomaly Detection Challenge (NAD) challenge.	X. Xu; X. Zheng;	icassp	2021-05-16
432	Exploring The Intrinsic Probability Distribution for Hyperspectral Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address the issue, we propose a novel probability distribution representation detector (PDRD) that explores the intrinsic distribution of both the background and the anomalies in original data for hyperspectral anomaly detection in this paper.	Shaoqi Yu; Xiaorun Li; Shuhan Chen; Liaoying Zhao;	arxiv-cs.CV	2021-05-14
433	An Anomaly Detector As A Clinical Decision Support System for Parotid Gland Delineations Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: . Auto-contouring (AC) is rapidly becoming standard practice for OAR contouring. However, in clinical practice, clinicians still need to manually check and correct contours. …	PAVLOS PAPACONSTADOPOULOS et. al.	Physics in medicine and biology	2021-05-14
434	Cybersecurity Anomaly Detection in Adversarial Environments Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We incorporate a realistic adversarial training mechanism when training supervised models to enable strong classification performance in adversarial environments.	David A. Bierbrauer; Alexander Chang; Will Kritzer; Nathaniel D. Bastian;	arxiv-cs.CR	2021-05-14
435	Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Therefore, this paper proposes an importance weighted adversarial autoencoder-based method to transfer anomaly detection knowledge in an unsupervised manner, particularly for a rarely studied scenario where a target domain has no labeled normal/abnormal data while only normal data from a related source domain exist.	CANGNING FAN et. al.	arxiv-cs.LG	2021-05-14
436	Video Anomaly Detection By The Duality Of Normality-Granted Optical Flow Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose to discriminate anomalies from normal ones by the duality of normality-granted optical flow, which is conducive to predict normal frames but adverse to abnormal frames.	Hongyong Wang; Xinjian Zhang; Su Yang; Weishan Zhang;	arxiv-cs.CV	2021-05-10
437	Relevance of Drift Components and Unit-to-Unit Variability in The Predictive Maintenance of Low-Cost Electrochemical Sensor Systems in Air Quality Monitoring Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: As key components of low-cost sensor systems in air quality monitoring, electrochemical gas sensors have recently received a lot of interest but suffer from unit-to-unit …	Georgi Tancev;	Sensors (Basel, Switzerland)	2021-05-10
438	Meteorological and Human Mobility Data on Predicting COVID-19 Cases By A Novel Hybrid Decomposition Method with Anomaly Detection Analysis: A Case Study in The Capitals of Brazil Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we analyzed the correlation between the number of COVID-19 cases and human mobility, and meteorological data in Brazilian capitals.	Tiago Tiburcio da Silva; Rodrigo Francisquini; Mariá C. V. Nascimento;	arxiv-cs.LG	2021-05-09
439	Good Practices and A Strong Baseline for Traffic Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a straightforward and efficient framework that includes pre-processing, a dynamic track module, and post-processing.	YUXIANG ZHAO et. al.	arxiv-cs.CV	2021-05-08
440	Energy-Based Anomaly Detection and Localization Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We employ the density estimates from the energy-based model (EBM) as normalcy scores that can be used to discriminate normal images from anomalous ones.	Ergin Utku Genc; Nilesh Ahuja; Ibrahima J Ndiour; Omesh Tickoo;	arxiv-cs.LG	2021-05-07
441	Honeyboost: Boosting Honeypot Performance with Data Fusion and Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce a novel framework called Honeyboost that enhances the performance of honeypot aided NADS.	Sevvandi Kandanaarachchi; Hideya Ochiai; Asha Rao;	arxiv-cs.CR	2021-05-06
442	Anomaly Detection in Hyper Suprime-Cam Galaxy Images with Generative Adversarial Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new approach to further characterize these anomalous images: we use a convolutional autoencoder to reduce the dimensionality of the residual differences between the real and WGAN-reconstructed images and perform UMAP clustering on these.	KATE STOREY-FISHER et. al.	arxiv-astro-ph.GA	2021-05-06
443	Genus-One Data and Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce the notion of genus-one data for theories in (1+1)-dimensions with an anomalous finite group global symmetry.	Matthew Yu;	arxiv-hep-th	2021-05-05
444	An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This article aims to provide an empirical review of the state-of-the-art deep learning methods for change detection.	Murari Mandal; Santosh Kumar Vipparthi;	arxiv-cs.CV	2021-05-04
445	Multi-Channel Generative Framework and Supervised Learning for Anomaly Detection in Surveillance Videos Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Recently, most state-of-the-art anomaly detection methods are based on apparent motion and appearance reconstruction networks and use error estimation between generated and real …	Tuan-Hung Vu; Jacques Boonaert; Sebastien Ambellouis; Abdelmalik Taleb-Ahmed;	Sensors (Basel, Switzerland)	2021-05-03
446	Unsupervised Anomaly Detection in MR Images Using Multi-Contrast Information Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we developed an unsupervised learning framework for pixel-wise anomaly detection in multi-contrast magnetic resonance imaging (MRI).	Byungjai Kim; Kinam Kwon; Changheun Oh; Hyunwook Park;	arxiv-eess.IV	2021-05-02
447	Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this problem, we present a novel approach for anomaly detection, which utilizes discriminative prototypes of normal data to reconstruct video frames.	Yuandu Lai; Yahong Han; Yaowei Wang;	arxiv-cs.CV	2021-04-30
448	Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In the current work, we formulate a weakly supervised anomaly detection method that is trained using only video-level labels.	Muhammad Zaigham Zaheer; Jin-ha Lee; Marcella Astrid; Arif Mahmood; Seung-Ik Lee;	arxiv-cs.CV	2021-04-30
449	Discriminative-Generative Dual Memory Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a DiscRiminative-gEnerative duAl Memory (DREAM) anomaly detection model to take advantage of a few anomalies and solve data imbalance.	XIN GUO et. al.	arxiv-cs.CV	2021-04-29
450	Image Synthesis As A Pretext for Unsupervised Histopathological Diagnosis Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we evaluate a crucial part of the unsupervised visual anomaly detection pipeline, that is needed for normal appearance modeling, as well as the ability to reconstruct closest looking normal and tumor samples.	Dejan Stepec; Danijel Skocaj;	arxiv-eess.IV	2021-04-28
451	Inpainting Transformer for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In particular we pose anomaly detection as a patch-inpainting problem and propose to solve it with a purely self-attention based approach discarding convolutions.	Jonathan Pirnay; Keng Chai;	arxiv-cs.CV	2021-04-28
452	A New Deep Domain Adaptation Method with Joint Adversarial Training for Online Detection of Bearing Early Fault Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: For online early fault detection of rolling bearings in non-stop scenarios, one of the main concerns is the model bias caused by the distribution shift between offline and online …	Wentao Mao; Ling Ding; Yamin Liu; Sajad Saraygord Afshari; Xihui Liang;	ISA transactions	2021-04-28
453	PANDA : Perceptually Aware Neural Detection of Anomalies Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel fine-grained VAE-GAN architecture trained in a semi-supervised manner in order to detect both visually distinct and subtle anomalies.	Jack W. Barker; Toby P. Breckon;	arxiv-cs.CV	2021-04-28
454	Localizing Anomalies From Weakly-Labeled Videos Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Video anomaly detection under video-level labels is currently a challenging task. Previous works have made progresses on discriminating whether a video sequence contains …	HUI LV et. al.	IEEE transactions on image processing : a publication of …	2021-04-28
455	Extending Isolation Forest for Anomaly Detection in Big Data Via K-Means Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper aims to build such intrusion detection systems to protect the computer networks from cyberattacks.	MD TAHMID RAHMAN LASKAR et. al.	arxiv-cs.CR	2021-04-27
456	ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a novel framework for unsupervised anomaly detection on masked objects called ODDObjects, which stands for Out-of-Distribution Detection on Objects.	Ricky Ma;	arxiv-cs.CV	2021-04-25
457	Infrequent Pattern Detection for Reliable Network Traffic Analysis Using Robust Evolutionary Computation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: While anomaly detection is very important in many domains, such as in cybersecurity, there are many rare anomalies or infrequent patterns in cybersecurity datasets. Detection of …	A N M Bazlur Rashid; Mohiuddin Ahmed; Al-Sakib Khan Pathan;	Sensors (Basel, Switzerland)	2021-04-25
458	A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Network anomaly detection systems (NADSs) play a significant role in every network defense system as they detect and prevent malicious activities. Therefore, this paper offers an …	MAHDI RABBANI et. al.	Entropy (Basel, Switzerland)	2021-04-25
459	Unsupervised Learning of Multi-level Structures for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To fully exploit the exposed multi-level abnormal structures, we propose to train multiple level-specific patch-based detectors with contrastive losses.	SONGMIN DAI et. al.	arxiv-cs.CV	2021-04-25
460	Supervised Anomaly Detection Via Conditional Generative Adversarial Network and Ensemble Active Learning Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a new supervised anomaly detector through introducing the novel Ensemble Active Learning Generative Adversarial Network (EAL-GAN).	Zhi Chen; Jiang Duan; Li Kang; Guoping Qiu;	arxiv-cs.LG	2021-04-24
461	Anomaly Detection for Solder Joints Using $β$-VAE Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To solve the optical inspection problem in unrestricted environments with no special lighting and without the existence of error-free reference boards, we propose a new beta-Variational Autoencoders (beta-VAE) architecture for anomaly detection that can work on both IC and non-IC components.	Furkan Ulger; Seniha Esen Yuksel; Atila Yilmaz;	arxiv-cs.CV	2021-04-24
462	Anomaly Detection from Cyber Threats Via Infrastructure to Automated Vehicle Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this research, a method is introduced to increase the vehicle’s self-awareness in intersections for one of the largest foreseen challenges when using I2V communication: cyber security.	Chris van der Ploeg; Robin Smit; Alexis Siagkris-Lekkos; Frank Benders; Emilia Silvas;	arxiv-cs.CR	2021-04-23
463	MoniLog: An Automated Log-Based Anomaly Detection System for Cloud Computing Infrastructures Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we will introduce MoniLog, a distributed approach to detect real-time anomalies within large-scale environments.	A. Vervaet;	icde	2021-04-22
464	DAEMON: Unsupervised Anomaly Detection and Interpretation for Multivariate Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To overcome those limitations, in this paper, we propose an unsupervised anomaly detection framework, called DAEMON (Adversarial Autoencoder Anomaly Detection Interpretation), which performs robustly for various datasets.	X. Chen; et al.	icde	2021-04-22
465	Graph Based Approach to Real-Time Metro Passenger Flow Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a novel abnormal passenger flow detection method based on smart card data.	W. Zhang;	icde	2021-04-22
466	VADETIS: An Explainable Evaluator for Anomaly Detection Techniques Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this demo, we present a new evaluator that allows to peruse the performance of several anomaly detection techniques and supports practitioners in understanding the behavior and (dis-)advantages of each technique for a given dataset.	A. KHELIFATI et. al.	icde	2021-04-22
467	Unsupervised Anomaly Detection for A Smart Autonomous Robotic Assistant Surgeon (SARAS)using A Deep Residual Autoencoder Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we thus propose an unsupervised approach to anomaly detection for robotic-assisted surgery based on deep residual autoencoders.	Dinesh Jackson Samuel; Fabio Cuzzolin;	arxiv-cs.RO	2021-04-22
468	An End-to-End Computer Vision Methodology for Quantitative Metallography Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This work presents an holistic artificial intelligence model for Anomaly Detection that automatically quantifies the degree of anomaly of impurities in alloys.	Matan Rusanovsky; Ofer Beeri; Sigalit Ifergane; Gal Oren;	arxiv-cond-mat.mtrl-sci	2021-04-22
469	An Efficient One-Class SVM for Anomaly Detection in The Internet of Things Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we extend so-called Nystr\om and (Gaussian) Sketching approaches to OCSVM, by combining these methods with clustering and Gaussian mixture models to achieve significant speedups in prediction time and space in various IoT settings, without sacrificing detection accuracy.	Kun Yang; Samory Kpotufe; Nick Feamster;	arxiv-cs.NI	2021-04-22
470	Monitoring Anomalies in 3D Bioprinting with Deep Neural Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Additive manufacturing technologies have progressed in the past decades, especially when used to print biofunctional structures such as scaffolds and vessels with living cells for …	Zeqing Jin; Zhizhou Zhang; Xianlin Shao; Grace X Gu;	ACS biomaterials science & engineering	2021-04-21
471	Brittle Features May Help Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We examine the performance of representations, transferred from auxiliary tasks, for anomaly detection.	Kimberly T. Mai; Toby Davies; Lewis D. Griffin;	arxiv-cs.LG	2021-04-21
472	What Is Wrong with One-Class Anomaly Detection? Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle this problem, we introduce a latent class-condition-based AD scenario.	JuneKyu Park; Jeong-Hyeon Moon; Namhyuk Ahn; Kyung-Ah Sohn;	arxiv-cs.LG	2021-04-20
473	VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a transformer-based image anomaly detection and localization network.	Pankaj Mishra; Riccardo Verk; Daniele Fornasier; Claudio Piciarelli; Gian Luca Foresti;	arxiv-cs.CV	2021-04-20
474	An Efficient Approach for Anomaly Detection in Traffic Videos Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an efficient approach for a video anomaly detection system which is capable of running at the edge devices, e.g., on a roadside camera.	Keval Doshi; Yasin Yilmaz;	arxiv-cs.CV	2021-04-20
475	Fine-grained Anomaly Detection Via Multi-task Self-Supervision Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: By combining in a multi-task framework high-scale shape features oriented task with low-scale fine features oriented task, our method greatly improves fine-grained anomaly detection.	Loic Jezequel; Ngoc-Son Vu; Jean Beaudet; Aymeric Histace;	arxiv-cs.CV	2021-04-20
476	SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To facilitate such an approach, this paper introduces SALAD, which is a Self-Adaptive Lightweight Anomaly Detection approach based on a special type of recurrent neural networks called Long Short-Term Memory (LSTM).	Ming-Chang Lee; Jia-Chun Lin; Ernst Gunnar Gran;	arxiv-cs.LG	2021-04-19
477	Autoencoders for Unsupervised Anomaly Detection in High Energy Physics Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: As a particle physics benchmark scenario, we study the tagging of top jet images in a background of QCD jet images.	Thorben Finke; Michael Krämer; Alessandro Morandini; Alexander Mück; Ivan Oleksiyuk;	arxiv-physics.data-an	2021-04-19
478	An Anomaly Event Detection Method Based on GNN Algorithm for Multi-data Sources Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To effectively address the proposed problems, in this paper, we design a novel anomaly detection method based on multi-source data.	YIPENG JI et. al.	arxiv-cs.SI	2021-04-18
479	Noise Attention Based Spectrum Anomaly Detection Method for Unauthorized Bands Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, a noise attention method is proposed for unsupervised spectrum anomaly detection in unauthorized bands.	Jing Xu; Yu Tian; Shuai Yuan; Naijin Liu;	arxiv-eess.SP	2021-04-17
480	An Efficient Anomaly Recognition Framework Using An Attention Residual LSTM in Surveillance Videos Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Video anomaly recognition in smart cities is an important computer vision task that plays a vital role in smart surveillance and public safety but is challenging due to its …	Waseem Ullah; Amin Ullah; Tanveer Hussain; Zulfiqar Ahmad Khan; Sung Wook Baik;	Sensors (Basel, Switzerland)	2021-04-16
481	Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Motivated by this intuition, we propose a hop-count based model (HCM) to detect anomalies by modeling both local and global contextual information.	Tianjin Huang; Yulong Pei; Vlado Menkovski; Mykola Pechenizkiy;	arxiv-cs.SI	2021-04-16
482	OneLog: Towards End-to-End Training in Software Log Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes OneLog, a new approach that uses a large deep model based on instead of multiple small components.	Shayan Hashemi; Mika Mäntylä;	arxiv-cs.SE	2021-04-15
483	Weakly Supervised Video Anomaly Detection Via Center-guided Discriminative Learning IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we consider video anomaly detection as a regression problem with respect to anomaly scores of video clips under weak supervision.	Boyang Wan; Yuming Fang; Xue Xia; Jiajie Mei;	arxiv-cs.CV	2021-04-15
484	Multipixel Anomaly Detection With Unknown Patterns for Hyperspectral Imagery Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: In this article, anomaly detection is considered for hyperspectral imagery in the Gaussian background with an unknown covariance matrix. The anomaly to be detected occupies …	JUN LIU et. al.	IEEE transactions on neural networks and learning systems	2021-04-14
485	Context-Dependent Anomaly Detection for Low Altitude Traffic Surveillance Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we introduce a deep neural network-based method (CADNet) to find point anomalies (i.e., single instance anomalous data) and contextual anomalies (i.e., context-specific abnormality) in an environment using a UAV.	Ilker Bozcan; Erdal Kayacan;	arxiv-cs.CV	2021-04-14
486	ADNet: Temporal Anomaly Detection in Surveillance Videos Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose ADNet, an anomaly detection network, which utilizes temporal convolutions to localize anomalies in videos.	Halil İbrahim Öztürk; Ahmet Burak Can;	arxiv-cs.CV	2021-04-14
487	Global Information Guided Video Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an end-to-end Global Information Guided (GIG) anomaly detection framework for anomaly detection using the video-level annotations (i.e., weak labels).	Hui Lv; Chunyan Xu; Zhen Cui;	arxiv-cs.CV	2021-04-14
488	A Vision-based System for Traffic Anomaly Detection Using Deep Learning and Decision Trees Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Decision-Tree – enabled approach powered by Deep Learning for extracting anomalies from traffic cameras while accurately estimating the start and end time of the anomalous event.	ARMSTRONG ABOAH et. al.	arxiv-cs.CV	2021-04-14
489	Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This work proposes methods for supervised and semi-supervised detection of out-of-distribution samples in image datasets.	Garnik Vareldzhan; Kirill Yurkov; Konstantin Ushenin;	arxiv-cs.CV	2021-04-13
490	Using A Neural Network to Detect Anomalies Given An N-gram Profile Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present and compare three anomaly detection models, and report on our experience running different types of attacks on an Apache Hypertext Transfer Protocol server.	Byunggu Yu; Junwhan Kim;	arxiv-cs.CR	2021-04-12
491	MLF-SC: Incorporating Multi-layer Features to Sparse Coding for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our idea can be a simple and practical option to deal with practical data.	Ryuji Imamura; Kohei Azuma; Atsushi Hanamoto; Atsunori Kanemura;	arxiv-cs.CV	2021-04-09
492	Tomato Anomalies Detection in Greenhouse Scenarios Based on YOLO-Dense Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Greenhouse cultivation can improve crop yield and quality, and it not only solves people’s daily needs but also brings considerable gains to the agricultural staff. One of the …	Xuewei Wang; Jun Liu;	Frontiers in plant science	2021-04-09
493	An Anomaly Detection Approach to Identify Chronic Brain Infarcts on MRI Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: The performance of current machine learning methods to detect heterogeneous pathology is limited by the quantity and quality of pathology in medical images. A possible solution is …	KEES M VAN HESPEN et. al.	Scientific reports	2021-04-08
494	Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presented GTA, a new framework for multivariate time series anomaly detection that involves automatically learning a graph structure, graph convolution, and modeling temporal dependency using a Transformer-based architecture.	Zekai Chen; Dingshuo Chen; Xiao Zhang; Zixuan Yuan; Xiuzhen Cheng;	arxiv-cs.LG	2021-04-07
495	Semi-supervised Variational Temporal Convolutional Network for IoT Communication Multi-anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose SS-VTCN, a semi-supervised network for IoT multiple anomaly detection that works well effectively for IoT communication network.	Yan Xu; Yongliang Cheng;	arxiv-cs.CR	2021-04-05
496	Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we provide a detailed comparative study between a well-studied unsupervised method called the autoencoder (AE) and a weakly-supervised approach based on the Classification Without Labels (CWoLa) technique.	Jack H. Collins; Pablo Martín-Ramiro; Benjamin Nachman; David Shih;	arxiv-hep-ph	2021-04-05
497	Deep Anomaly Detection of Seizures with Paired Stereoelectroencephalography and Video Recordings Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Real-time seizure detection is a resource intensive process as it requires continuous monitoring of patients on stereoelectroencephalography. This study improves real-time seizure …	MICHAEL L MARTINI et. al.	Scientific reports	2021-04-05
498	Anomaly Detection for The Individual Analysis of Brain PET Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: In clinical practice, positron emission tomography (PET) images are mostly analyzed visually, but the sensitivity and specificity of this approach greatly depend on the observer’s …	NINON BURGOS et. al.	Journal of medical imaging (Bellingham, Wash.)	2021-04-05
499	Isconna: Streaming Anomaly Detection with Frequency and Patterns Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose Isconna, which focuses on both the frequency and the pattern of edge records.	Rui Liu; Siddharth Bhatia; Bryan Hooi;	arxiv-cs.LG	2021-04-04
500	Automated Pathology Detection and Patient Triage in Routinely Acquired Head Computed Tomography Scans Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly detection systems can potentially uncover the entire spectrum of pathologies through deviations from a learned norm, meaningfully supporting the radiologist’s workflow. We …	TOM FINCK et. al.	Investigative radiology	2021-04-04
501	Outlier Detection Transilience-Probabilistic Model for Wind Tunnels Based on Sensor Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Anomaly Detection research is focused on the development and application of methods that allow for the identification of data that are different enough-compared with the rest of …	Encarna Quesada; Juan J Cuadrado-Gallego; Miguel Ángel Patricio; Luis Usero;	Sensors (Basel, Switzerland)	2021-04-04
502	Resource-aware Time Series Imaging Classification for Wireless Link Layer Anomalies Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we perform a first time analysis of image-based representation techniques for wireless anomaly detection using recurrence plots and Gramian angular fields and propose a new deep learning architecture enabling accurate anomaly detection.	Blaž Bertalanič; Marko Meža; Carolina Fortuna;	arxiv-cs.LG	2021-04-02
503	Detecting Anomalies Through Contrast in Heterogeneous Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Modelling the task as unsupervised anomaly detection, we propose a novel model Contrastive Learning based Heterogeneous Anomaly Detector to address shortcomings of prior models.	Debanjan Datta; Sathappan Muthiah; Naren Ramakrishnan;	arxiv-cs.LG	2021-04-02
504	Attention Map-guided Two-stage Anomaly Detection Using Hard Augmentation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To alleviate this problem, this paper proposes a novel two-stage network consisting of an attention network and an anomaly detection GAN (ADGAN).	Jou Won Song; Kyeongbo Kong; Ye In Park; Suk-Ju Kang;	arxiv-cs.CV	2021-03-31
505	Neural Transformation Learning for Deep Anomaly Detection Beyond Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here we present a simple end-to-end procedure for anomaly detection with learnable transformations.	Chen Qiu; Timo Pfrommer; Marius Kloft; Stephan Mandt; Maja Rudolph;	arxiv-cs.LG	2021-03-30
506	Dynamically Modelling Heterogeneous Higher-Order Interactions for Malicious Behavior Detection in Event Logs Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In contrast, we propose to simultaneously address all three of these characteristics through a specifically tailored statistical model.	Corentin Larroche; Johan Mazel; Stephan Clémençon;	arxiv-cs.CR	2021-03-29
507	Elsa: Energy-based Learning for Semi-supervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents Elsa, a novel semi-supervised anomaly detection approach that unifies the concept of energy-based models with unsupervised contrastive learning.	Sungwon Han; Hyeonho Song; Seungeon Lee; Sungwon Park; Meeyoung Cha;	arxiv-cs.CV	2021-03-28
508	Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we show how the deep-RBF network can be used for detecting anomalies in CPS regression tasks such as continuous steering predictions.	Matthew Burruss; Shreyas Ramakrishna; Abhishek Dubey;	arxiv-cs.LG	2021-03-25
509	Excess Mortality in The United States in 2020: Forecasting and Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: All-cause mortality may be better than disease-specific data for computing excess COVID-19 mortality. We documented approximately 350,000 excess deaths using a 20-year forecast of …	Timothy L Wiemken; Ana Santos Rutschman; Samson Niemotka; Christopher G Prener;	American journal of infection control	2021-03-24
510	Non-Compression Auto-Encoder for Detecting Road Surface Abnormality Via Vehicle Driving Noise Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose the deep learning based cost-effective real-time anomaly detection architecture, naming with non-compression auto-encoder (NCAE).	YeongHyeon Park; JongHee Jung;	arxiv-cs.CV	2021-03-24
511	Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Joint detection of drivable areas and road anomalies is very important for mobile robots. Recently, many semantic segmentation approaches based on convolutional neural networks …	Hengli Wang; Rui Fan; Yuxiang Sun; Ming Liu;	IEEE transactions on cybernetics	2021-03-24
512	3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In our work, we introduce a multi-channel sliding window generative model to perform lesion detection in whole-body MRI (wbMRI).	ALEX CHANG et. al.	arxiv-eess.IV	2021-03-24
513	Including Sparse Production Knowledge Into Variational Autoencoders to Increase Anomaly Detection Reliability Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We evaluate the following methods: Principal Component Analysis, Isolation Forest, Classifying Neural Networks, and Variational Autoencoders on seven time series datasets to find the best performing detection methods.	Tom Hammerbacher; Markus Lange-Hegermann; Gorden Platz;	arxiv-cs.LG	2021-03-24
514	AQEyes: Visual Analytics for Anomaly Detection and Examination of Air Quality Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we systematically formulate design requirements for a system that can solve these limitations and then propose AQEyes, an integrated visual analytics system for efficiently monitoring, detecting, and examining anomalies in air quality data.	Dongyu Liu; Kalyan Veeramachaneni; Alexander Geiger; Victor O. K. Li; Huamin Qu;	arxiv-cs.HC	2021-03-23
515	Anomaly Detection Using Principles of Human Perception Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The present work gives a philosophical approach to clearly define anomalies and to develop an algorithm for their efficient detection with minimal user intervention.	Mohammad Nassir;	arxiv-cs.CR	2021-03-23
516	Mining Scientific Workflows for Anomalous Data Transfers Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this challenge, we have developed X-FLASH, a network anomaly detection tool for faulty TCP workflow transfers.	HUY TU et. al.	arxiv-cs.SE	2021-03-22
517	A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here we present a variational recurrent autoencoder neural network to encode simulated Rubin Observatory extragalactic transient events using 1% of the PLAsTiCC dataset to train the autoencoder.	V. ASHLEY VILLAR et. al.	arxiv-astro-ph.HE	2021-03-22
518	Unsupervised Two-Stage Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we solve this contradiction by proposing a two-stage approach, which generates high-fidelity yet anomaly-free reconstructions.	Yunfei Liu; Chaoqun Zhuang; Feng Lu;	arxiv-cs.CV	2021-03-22
519	A Modular and Unified Framework for Detecting and Localizing Video Anomalies Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Motivated by these research gaps, we propose a modular and unified approach to the online video anomaly detection and localization problem, called MOVAD, which consists of a novel transfer learning based plug-and-play architecture, a sequential anomaly detector, a mathematical framework for selecting the detection threshold, and a suitable performance metric for real-time anomalous event detection in videos.	Keval Doshi; Yasin Yilmaz;	arxiv-cs.CV	2021-03-21
520	Enhancing Robustness of On-line Learning Models on Highly Noisy Data Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we extend a two-layer on-line data selection framework: Robust Anomaly Detector (RAD) with a newly designed ensemble prediction where both layers contribute to the final anomaly detection decision.	ZILONG ZHAO et. al.	arxiv-cs.LG	2021-03-19
521	Online and Unsupervised Anomaly Detection for Streaming Data Using An Array of Sliding Windows and PDDs IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: In this article, we propose an online and unsupervised anomaly detection algorithm for streaming data using an array of sliding windows and the probability density-based …	Lingyu Zhang; Jiabao Zhao; Wei Li;	IEEE transactions on cybernetics	2021-03-17
522	Graph Regularized Autoencoder and Its Application in Unsupervised Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Dimensionality reduction is a crucial first step for many unsupervised learning tasks including anomaly detection and clustering. Autoencoder is a popular mechanism to accomplish …	Imtiaz Ahmed; Travis Galoppo; Xia Hu; Yu Ding;	IEEE transactions on pattern analysis and machine …	2021-03-17
523	Unsupervised Anomaly Segmentation Using Image-Semantic Cycle Translation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, to alleviate this issue, we introduce the semantic space of healthy anatomy in the process of modeling healthy-data distribution.	Chenxin Li; Yunlong Zhang; Jiongcheng Li; Yue Huang; Xinghao Ding;	arxiv-eess.IV	2021-03-16
524	Unsupervised Anomaly Detection in Digital Pathology Using GANs Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new unsupervised learning approach for anomaly detection in histopathology data based on generative adversarial networks (GANs).	Milda Pocevičiūtė; Gabriel Eilertsen; Claes Lundström;	arxiv-eess.IV	2021-03-16
525	Stack of Discriminative Autoencoders for Multiclass Anomaly Detection in Endoscopy Images Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We proposed a multiclass classification algorithm that is extensible to any number of classes and can handle an imbalance issue.	Mohammad Reza Mohebbian; Khan A. Wahid; Paul Babyn;	arxiv-cs.CV	2021-03-15
526	Anomaly Detection in Scratch Assignments Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we enhance our initial approach by lowering the abstraction level.	Nina Körber;	arxiv-cs.SE	2021-03-15
527	Flow-based Self-supervised Density Estimation for Anomalous Sound Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To develop a machine sound monitoring system, a method for detecting anomalous sound is proposed.	Kota Dohi; Takashi Endo; Harsh Purohit; Ryo Tanabe; Yohei Kawaguchi;	arxiv-eess.AS	2021-03-15
528	A Screening Method Using Anomaly Detection on A Smartphone for Patients With Carpal Tunnel Syndrome: Diagnostic Case-Control Study Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Carpal tunnel syndrome (CTS) is a medical condition caused by compression of the median nerve in the carpal tunnel due to aging or overuse of the hand. The symptoms include …	TAKAFUMI KOYAMA et. al.	JMIR mHealth and uHealth	2021-03-14
529	Improved Mitigation of Cyber Threats in IIoT for Smart Cities: A New-Era Approach and Scheme Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Cybersecurity in Industrial Internet of Things (IIoT) has become critical as smart cities are becoming increasingly linked to industrial control systems (ICSs) used in critical …	Semi Park; Kyungho Lee;	Sensors (Basel, Switzerland)	2021-03-11
530	Estimation, Forecasting, and Anomaly Detection for Nonstationary Streams Using Adaptive Estimation Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Streaming data provides substantial challenges for data analysis. From a computational standpoint, these challenges arise from constraints related to computer memory and …	Henrique Hoeltgebaum; Niall Adams; Cristiano Fernandes;	IEEE transactions on cybernetics	2021-03-11
531	Bump Hunting in Latent Space Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we introduce a physics inspired variational autoencoder (VAE) architecture which performs competitively and robustly on the LHC Olympics Machine Learning Challenge datasets.	Blaž Bortolato; Barry M. Dillon; Jernej F. Kamenik; Aleks Smolkovič;	arxiv-hep-ph	2021-03-11
532	Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Weakly supervised anomaly detection is a challenging task since frame-level labels are not given in the training phase. Previous studies generally employ neural networks to learn …	Peng Wu; Jing Liu;	IEEE transactions on image processing : a publication of …	2021-03-11
533	A Flexible Framework for Anomaly Detection Via Dimensionality Reduction Related Papers Related Patents