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Local Evaluation of Time Series Anomaly Detection Algorithms

Local Evaluation of Time Series Anomaly Detection Algorithms

27 June 2022
Alexis Huet
J. M. Navarro
Dario Rossi
    AI4TS
ArXivPDFHTML

Papers citing "Local Evaluation of Time Series Anomaly Detection Algorithms"

34 / 34 papers shown
Title
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
Xudong Mou
Rui Wang
Bo Li
Tianyu Wo
Jie Sun
H. Wang
Xudong Liu
AI4TS
40
0
0
24 Mar 2025
Can LLMs Understand Time Series Anomalies?
Can LLMs Understand Time Series Anomalies?
Zihao Zhou
Rose Yu
AI4TS
79
8
0
13 Mar 2025
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest
Yuhan Jing
J. Wang
Lei Zhang
Haifeng Sun
Bo He
Zirui Zhuang
Chengsen Wang
Q. Qi
Jianxin Liao
AI4TS
50
0
0
03 Mar 2025
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
Qingxiang Liu
Chenghao Liu
Sheng Sun
Di Yao
Yuxuan Liang
AI4TS
52
0
0
30 Jan 2025
Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies
Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies
Yongzheng Xie
Hongyu Zhang
M. Babar
AI4TS
36
0
0
22 Jan 2025
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Yaxuan Wang
Hao Cheng
Jing Xiong
Qingsong Wen
Han Jia
Ruixuan Song
L. Zhang
Zhaowei Zhu
Yang Liu
AI4TS
49
1
0
21 Jan 2025
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
Quan Zhou
Changhua Pei
Fei Sun
Jing Han
Zhengwei Gao
Dan Pei
Haiming Zhang
Gaogang Xie
Jianhui Li
AI4TS
52
4
0
01 Nov 2024
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection
  with Multi-scale Reconstructive Contrast
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast
Shiyan Hu
Kai Zhao
Xiangfei Qiu
Yang Shu
Jilin Hu
Bin Yang
Chenjuan Guo
AI4TS
23
6
0
21 Oct 2024
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
Xingjian Wu
Xiangfei Qiu
Zhengyu Li
Yihang Wang
Jilin Hu
Chenjuan Guo
Hui Xiong
Bin Yang
AI4TS
59
12
0
16 Oct 2024
Online Model-based Anomaly Detection in Multivariate Time Series:
  Taxonomy, Survey, Research Challenges and Future Directions
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions
Lucas Correia
Jan-Christoph Goos
Philipp Klein
Thomas Bäck
Anna V. Kononova
AI4TS
35
3
0
07 Aug 2024
Self-Supervised Spatial-Temporal Normality Learning for Time Series
  Anomaly Detection
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection
Yutong Chen
Hongzuo Xu
Guansong Pang
Hezhe Qiao
Yuan Zhou
Mingsheng Shang
AI4TS
22
1
0
28 Jun 2024
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical
  Aggregated Anomaly Detection
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection
Dacian Goina
Eduard Hogea
George Matieş
21
0
0
11 Jun 2024
Joint Selective State Space Model and Detrending for Robust Time Series
  Anomaly Detection
Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection
Junqi Chen
Xu Tan
S. Rahardja
Jiawei Yang
S. Rahardja
Mamba
31
2
0
30 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
50
5
0
24 May 2024
PATE: Proximity-Aware Time series anomaly Evaluation
PATE: Proximity-Aware Time series anomaly Evaluation
Ramin Ghorbani
Marcel J. T. Reinders
David Tax
13
1
0
20 May 2024
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly
  Detection
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Xing Xi
Yue Xu
Jiahui Chen
Kaixiang Yang
AI4TS
28
1
0
18 May 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Zahra Zamanzadeh Darban
Yiyuan Yang
Geoffrey I. Webb
Charu C. Aggarwal
Qingsong Wen
Shirui Pan
Mahsa Salehi
47
0
0
17 Apr 2024
A Comparison of Deep Learning Architectures for Spacecraft Anomaly
  Detection
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection
Daniel Lakey
Tim Schlippe
17
2
0
19 Mar 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
11
6
0
16 Feb 2024
Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A
  Benchmarking Study
Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study
Santonu Sarkar
Shanay Mehta
Nicole Fernandes
Jyotirmoy Sarkar
Snehanshu Saha
23
2
0
11 Feb 2024
Large Language Model Guided Knowledge Distillation for Time Series
  Anomaly Detection
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
Chen Liu
Shibo He
Qihang Zhou
Shizhong Li
Wenchao Meng
AI4TS
21
15
0
26 Jan 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly
  Detection
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Yiyuan Yang
Weizheng Wang
Kaixiang Yang
17
5
0
18 Jan 2024
Unraveling the "Anomaly" in Time Series Anomaly Detection: A
  Self-supervised Tri-domain Solution
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution
Yuting Sun
Guansong Pang
Guanhua Ye
Tong Chen
Xia Hu
Hongzhi Yin
22
8
0
19 Nov 2023
SoK: Evaluations in Industrial Intrusion Detection Research
SoK: Evaluations in Industrial Intrusion Detection Research
Olav Lamberts
Konrad Wolsing
Eric Wagner
Jan Pennekamp
Jan Bauer
Klaus Wehrle
Martin Henze
22
6
0
06 Nov 2023
DCdetector: Dual Attention Contrastive Representation Learning for Time
  Series Anomaly Detection
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
Yiyuan Yang
Chaoli Zhang
Tian Zhou
Qingsong Wen
Liang Sun
AI4TS
95
114
0
17 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress,
  and Prospects
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
Kexin Zhang
Qingsong Wen
Chaoli Zhang
Rongyao Cai
Ming Jin
...
James Y. Zhang
Y. Liang
Guansong Pang
Dongjin Song
Shirui Pan
AI4TS
109
97
0
16 Jun 2023
A Survey on Time-Series Pre-Trained Models
A Survey on Time-Series Pre-Trained Models
Qianli Ma
Z. Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
21
50
0
18 May 2023
Evaluation Strategy of Time-series Anomaly Detection with Decay Function
Evaluation Strategy of Time-series Anomaly Detection with Decay Function
Yongwan Gim
Kyushik Min
6
0
0
15 May 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
11
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
24
18
0
02 Mar 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
29
126
0
09 Nov 2022
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time
  Series
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg
Wenyu Zhang
Jules Samaran
R. Savitha
Chuan-Sheng Foo
AI4TS
27
216
0
23 Sep 2021
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Siwon Kim
K. Choi
Hyun-Soo Choi
Byunghan Lee
Sungroh Yoon
AI4TS
75
144
0
11 Sep 2021
Human readable network troubleshooting based on anomaly detection and
  feature scoring
Human readable network troubleshooting based on anomaly detection and feature scoring
J. M. Navarro
Alexis Huet
Dario Rossi
14
8
0
26 Aug 2021
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