AI RESEARCH
A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detection
arXiv CS.LG
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ArXi:2511.18739v2 Announce Type: replace-cross Time series anomaly detection is widely used in IoT and cyber-physical systems, yet its evaluation remains challenging due to diverse application objectives and heterogeneous metric assumptions. This study