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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

2 March 2023
Sondre Sørbø
M. Ruocco
    AI4TS
ArXivPDFHTML

Papers citing "Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series"

13 / 13 papers shown
Title
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
48
0
0
03 Mar 2025
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection
Paul Boniol
Ashwin K. Krishna
Marine Bruel
Qinghua Liu
Mingyi Huang
Themis Palpanas
Ruey S. Tsay
Aaron J. Elmore
Michael Franklin
John Paparrizos
AI4TS
38
0
0
20 Feb 2025
Detecting Anomalies Using Rotated Isolation Forest
Detecting Anomalies Using Rotated Isolation Forest
Vahideh Monemizadeh
Kourosh Kiani
43
0
0
29 Jan 2025
Exploring the Impact of Outlier Variability on Anomaly Detection
  Evaluation Metrics
Exploring the Impact of Outlier Variability on Anomaly Detection Evaluation Metrics
Minjae Ok
Simon Klüttermann
Emmanuel Müller
11
1
0
24 Sep 2024
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine
  Learning-Based Arousal Detection in Clinical Practice
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice
Stefan Kraft
Andreas Theissler
Vera Wienhausen-Wilke
Philipp Walter
Gjergji Kasneci
16
0
0
20 Sep 2024
Towards Unbiased Evaluation of Time-series Anomaly Detector
Towards Unbiased Evaluation of Time-series Anomaly Detector
Debarpan Bhattacharya
Sumanta Mukherjee
Chandramouli Kamanchi
Vijay Ekambaram
Arindam Jati
Pankaj Dayama
AI4TS
24
0
0
19 Sep 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
38
0
0
10 Jun 2024
Time Series Anomaly Detection using Diffusion-based Models
Time Series Anomaly Detection using Diffusion-based Models
Ioana Pintilie
Andrei Manolache
Florin Brad
DiffM
13
14
0
02 Nov 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
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
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
24
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
Anomaly Detection of Time Series with Smoothness-Inducing Sequential
  Variational Auto-Encoder
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder
Longyuan Li
Junchi Yan
Haiyang Wang
Yaohui Jin
BDL
AI4TS
35
132
0
02 Feb 2021
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