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Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series
v1v2v3 (latest)

Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series

10 October 2020
Vincent Jacob
Fei Song
Arnaud Stiegler
Bijan Rad
Y. Diao
Nesime Tatbul
    AI4TS
ArXiv (abs)PDFHTML

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
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
AI4TSFAtt
57
0
0
02 Jun 2025
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains
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
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
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
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification
Ziwen Kan
Shahbaz Rezaei
Xin Liu
BDLAI4TS
54
0
0
22 Aug 2024
Topological Analysis for Detecting Anomalies (TADA) in Time Series
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
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
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
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
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
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
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
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
AI4TSAI4CE
130
174
0
07 Jul 2023
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series
  Anomaly Detection
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
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
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
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
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
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
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
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
Hongzuo Xu
Yijie Wang
Songlei Jian
Qing Liao
Yongjun Wang
Guansong Pang
AI4TS
100
51
0
25 Jul 2022
Explainable multi-class anomaly detection on functional data
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
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
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
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
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
Shreshth Tuli
G. Casale
N. Jennings
AI4TS
88
509
0
18 Jan 2022
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised
  deep learning
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning
Bang Xiang Yong
Alexandra Brintrup
58
7
0
19 Oct 2021
1