Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?

M. Saquib Sarfraz, Mei-Yen Chen, Lukas Layer +2

The current state of machine learning scholarship in Timeseries Anomaly Detection (TAD) is plagued by the persistent use of flawed evaluation metrics, inconsistent benchmarking pra…