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

Data mining and knowledge discovery (DMKD), 2023

2 March 2023

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

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Title
A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detection Kaixiang Yang Jiarong Liu Yupeng Song Shuanghua Yang Yujue Zhou AI4TS 201 0 0 24 Nov 2025
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest Yuhan Jing Jiangming Wang Lei Zhang Haifeng Sun Bo He Zirui Zhuang Chengsen Wang Q. Qi Jianxin Liao AI4TS 184 0 0 03 Mar 2025
Detecting Anomalies Using Rotated Isolation ForestData mining and knowledge discovery (DMKD), 2025 Vahideh Monemizadeh Kourosh Kiani 94 4 0 29 Jan 2025
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 243 0 0 20 Sep 2024
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and ProspectsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 406 186 0 16 Jun 2023