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Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series

10 October 2020

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Papers citing "Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series"

27 / 27 papers shown

Title
ShaTS: A Shapley-based Explainability Method for Time Series Artificial Intelligence Models applied to Anomaly Detection in Industrial Internet of Things Manuel Franco de la Peña Ángel Luis Perales Gómez Lorenzo Fernández Maimó AI4TS FAtt 57 0 0 02 Jun 2025
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains Vincent Jacob Y. Diao AI4TS 101 0 0 29 Mar 2025
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers Jiaxin Zhuang Leon Yan Zhenwei Zhang Ruiqi Wang Jiawei Zhang Yuantao Gu AI4TS 103 13 0 04 Nov 2024
MIXAD: Memory-Induced Explainable Time Series Anomaly Detection Minha Kim K. Bhaumik A. Ali Simon S. Woo AI4TS 63 1 0 30 Oct 2024
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification Ziwen Kan Shahbaz Rezaei Xin Liu BDL AI4TS 54 0 0 22 Aug 2024
Topological Analysis for Detecting Anomalies (TADA) in Time Series Frédéric Chazal Martin Royer Clément Levrard 80 0 0 10 Jun 2024
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection Jun Liu Chaoyun Zhang Jiaxu Qian Ming-Jie Ma Si Qin Chetan Bansal Qingwei Lin Saravan Rajmohan Dongmei Zhang AI4TS 80 11 0 24 May 2024
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders Qichao Shentu Beibu Li Kai Zhao Yang Shu Zhongwen Rao Lujia Pan Bin Yang Chenjuan Guo AI4TS 125 6 0 24 May 2024
Toward a Realistic Benchmark for Out-of-Distribution Detection Pietro Recalcati Fabio Garcea Luca Piano Fabrizio Lamberti Lia Morra OODD 151 1 0 16 Apr 2024
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models Haotian Si Changhua Pei Hang Cui Jingwen Yang Yongqian Sun ... Haiming Zhang Jing Han Dan Pei Jianhui Li Gaogang Xie AI4TS 85 9 0 16 Feb 2024
EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series Jie Liu Qilin Li Senjian An Bradley Ezard Ling Li AI4TS 34 1 0 04 Dec 2023
TSGBench: Time Series Generation Benchmark Yihao Ang Qiang Huang Yifan Bao Anthony K. H. Tung Zhiyong Huang AI4TS 115 21 0 07 Sep 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon Cesare Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 130 174 0 07 Jul 2023
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection Yuhang Chen Chen Zhang Minghua Ma Yudong Liu Ruomeng Ding Yue Liu Shilin He Saravan Rajmohan Qingwei Lin Dongmei Zhang DiffM 95 52 0 03 Jul 2023
SoftED: Metrics for Soft Evaluation of Time Series Event Detection Rebecca Salles J. Lima R. Coutinho Esther Pacitti F. Masseglia Reza Akbarinia Chao Chen Jonathan M. Garibaldi Fábio Porto Eduardo S. Ogasawara 70 2 0 02 Apr 2023
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series Sondre Sørbø M. Ruocco AI4TS 70 22 0 02 Mar 2023
BALANCE: Bayesian Linear Attribution for Root Cause Localization Chaoyu Chen Hang Yu Zhichao Lei Jianguo Li Shaokang Ren Tingkai Zhang Si-Yu Hu Jianchao Wang Wenhui Shi 69 7 0 31 Jan 2023
Deep Learning for Time Series Anomaly Detection: A Survey Zahra Zamanzadeh Darban G. I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 84 162 0 09 Nov 2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 89 69 0 18 Oct 2022
A Meta-level Analysis of Online Anomaly Detectors Antonios Ntroumpogiannis Michail Giannoulis Nikolaos Myrtakis V. Christophides Eric Simon Ioannis Tsamardinos 105 14 0 13 Sep 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection Hongzuo Xu Yijie Wang Songlei Jian Qing Liao Yongjun Wang Guansong Pang AI4TS 100 50 0 25 Jul 2022
Explainable multi-class anomaly detection on functional data Mathieu Cura Katarina Firdova C. Labart Arthur Martel 26 1 0 03 May 2022
Sintel: A Machine Learning Framework to Extract Insights from Signals Sarah Alnegheimish Dongyu Liu Carles Sala Cladellas Laure Berti-Equille K. Veeramachaneni AI4TS 68 16 0 19 Apr 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 65 0 0 25 Feb 2022
Trustworthy Anomaly Detection: A Survey Shuhan Yuan Xintao Wu FaML 151 8 0 15 Feb 2022
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data Shreshth Tuli G. Casale N. Jennings AI4TS 88 508 0 18 Jan 2022
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning Bang Xiang Yong Alexandra Brintrup 56 7 0 19 Oct 2021