PVDLB 2021: “Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series”

The paper “Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series”
by Vincent Jacob, Fei Song, Arnaud Stiegler, Bijan Rad, Yanlei Diao and Nesime Tatbul
has been accepted for publication in the research track of PVLDB 2021 (Experiments, Analysis & Benchmark).

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