OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest

Yuhan Jing, Jingyu Wang, Lei Zhang +6

With the growing adoption of time-series anomaly detection (TAD) technology, numerous studies have employed deep learning-based detectors to analyze time-series data in the fields…