most citedRobust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data

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cs.LG2022★ 1 cited

Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data

Wenkai Li, Cheng Feng, Ting Chen +1

Time series anomaly detection (TSAD) is an important data mining task with numerous applications in the IoT era. In recent years, a large number of deep neural network-based method…