Title
An Explainable Anomaly Detection Framework for Monitoring Depression and Anxiety Using Consumer Wearable Devices Yuezhou Zhang A. Folarin Callum Stewart H. Sankesara Yatharth Ranjan Pauline Conde Akash Roy Choudhury Shaoxiong Sun Zulqarnain Rashid Richard J. B. Dobson 22 0 0 05 May 2025
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Automated Contrastive Learning Strategy Search for Time Series Baoyu Jing Yansen Wang Guoxin Sui Jing Hong Jingrui He Yuqing Yang Dongsheng Li Kan Ren AI4TS 32 6 0 19 Mar 2024
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection H. Jo Seong-Whan Lee 30 2 0 25 Jan 2024
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models Haksoo Lim Sewon Park Minjung Kim Jaehoon Lee S. Lim Noseong Park 40 3 0 29 Aug 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo 30 3 0 25 May 2023
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Evaluation Strategy of Time-series Anomaly Detection with Decay Function Yongwan Gim Kyushik Min 24 0 0 15 May 2023
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Learning Sparsity of Representations with Discrete Latent Variables Zhao Xu Daniel Oñoro-Rubio G. Serra Mathias Niepert 13 0 0 03 Apr 2023
Interpretable Anomaly Detection via Discrete Optimization Simon Lutz Florian Wittbold Simon Dierl Benedikt Böing F. Howar Barbara König Emmanuel Müller Daniel Neider AAML 32 0 0 24 Mar 2023
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series Sondre Sørbø M. Ruocco AI4TS 34 19 0 02 Mar 2023
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 32 5 0 31 Jan 2023
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series Usman Anjum Samuel Lin J. Zhan AI4TS 15 0 0 30 Jan 2023
FedTADBench: Federated Time-Series Anomaly Detection Benchmark Fanxing Liu Cheng Zeng Le Zhang Yingjie Zhou Qing Mu Yanru Zhang Ling Zhang Ce Zhu OOD FedML AI4TS 31 8 0 19 Dec 2022
ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation Tomokatsu Takahashi Masanori Yamada Yuuki Yamanaka Tomoya Yamashita 20 0 0 01 Nov 2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 32 66 0 18 Oct 2022
Deep Baseline Network for Time Series Modeling and Anomaly Detection Cheng Ge Xinyu Chen Ming Wang Jin Wang AI4TS 27 0 0 10 Sep 2022
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data Wenkai Li Cheng Feng Tingling Chen Jun Zhu AAML AI4TS 37 6 0 03 Aug 2022
Local Evaluation of Time Series Anomaly Detection Algorithms Alexis Huet J. M. Navarro Dario Rossi AI4TS 35 67 0 27 Jun 2022
Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series M. Rahmani Anoop Deoras Laurent Callot AI4TS 31 0 0 31 May 2022
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection Shaoshen Wang Yanbin Liu Ling Chen Chengqi Zhang 24 0 0 29 May 2022
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding Zhi Qi Hong Xie Ye Li Jian Tan Feifei Li John C. S. Lui AI4TS 16 1 0 05 May 2022
Novel Applications for VAE-based Anomaly Detection Systems Luca Bergamin Tommaso Carraro Mirko Polato F. Aiolli DRL 24 6 0 26 Apr 2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks Dario Rossi Liang Zhang 36 13 0 26 Apr 2022
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors Quan-Xin Ding Shenghua Liu Bin Zhou Huawei Shen Xueqi Cheng AI4TS AI4CE 24 1 0 18 Apr 2022
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection---Extended Version Tung Kieu B. Yang Chenjuan Guo Christian S. Jensen Yan Zhao Feiteng Huang Kai Zheng AI4TS 27 37 0 07 Apr 2022
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection? Julien Audibert Pietro Michiardi F. Guyard Sébastien Marti Maria A. Zuluaga AI4TS 24 55 0 04 Apr 2022
Graph similarity learning for change-point detection in dynamic networks Déborah Sulem Henry Kenlay Mihai Cucuringu Xiaowen Dong 40 14 0 29 Mar 2022
TiSAT: Time Series Anomaly Transformer Keval Doshi Shatha Abudalou Yasin Yılmaz AI4TS 32 16 0 10 Mar 2022
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder S. Chatterjee Alessandro Sciarra M. Dünnwald Pavan Tummala Shubham Agrawal Aishwarya Jauhari Aman Kalra S. Oeltze-Jafra Oliver Speck A. Nürnberger DRL 36 16 0 31 Jan 2022
Time-Series Anomaly Detection with Implicit Neural Representation Kyeong-Joong Jeong Yong-Min Shin BDL AI4TS 49 15 0 28 Jan 2022
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection Yu-xin Zhang Jindong Wang Yiqiang Chen Hanchao Yu Tao Qin AI4TS 33 54 0 03 Jan 2022
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version David Campos Tung Kieu Chenjuan Guo Feiteng Huang Kai Zheng B. Yang Christian S. Jensen AI4TS 28 51 0 22 Nov 2021
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection Yeonghyeon Park JongHee Jung 27 4 0 22 Nov 2021
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications Dongqi Han Zhiliang Wang Wenqi Chen Ying Zhong Su Wang Han Zhang Jiahai Yang Xingang Shi Xia Yin AAML 24 76 0 23 Sep 2021
Merlion: A Machine Learning Library for Time Series Aadyot Bhatnagar Paul Kassianik Chenghao Liu Tian-Shing Lan Wenzhuo Yang ... Yingbo Zhou Caiming Xiong Silvio Savarese Guosheng Lin Huan Wang AI4TS 13 34 0 20 Sep 2021
Towards a Rigorous Evaluation of Time-series Anomaly Detection Siwon Kim K. Choi Hyun-Soo Choi Byunghan Lee Sungroh Yoon AI4TS 89 147 0 11 Sep 2021
Federated Variational Learning for Anomaly Detection in Multivariate Time Series Kai Zhang Yushan Jiang Lee M. Seversky Chengtao Xu Dahai Liu Haoze Song AI4TS 14 26 0 18 Aug 2021
Neural Contextual Anomaly Detection for Time Series Chris U. Carmona Franccois-Xavier Aubet Valentin Flunkert Jan Gasthaus BDL AI4TS 59 63 0 16 Jul 2021
Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering Cheng Feng Pengwei Tian AI4TS 19 75 0 15 Jun 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 30 4 0 15 Jun 2021
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection Yingjie Zhou Xuchen Song Yanru Zhang Fanxing Liu Ce Zhu Lingqiao Liu UQCV 31 102 0 22 May 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 32 52 0 26 Feb 2021
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection Liang Xu Liying Zheng Weijun Li Zhenbo Chen Weishun Song Yue Deng Yongzhe Chang Jing Xiao Bo Yuan AI4TS 29 9 0 08 Jan 2021