Anomaly detection with semi-supervised classification based on risk estimators

Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb

A significant limitation of one-class classification anomaly detection methods is their reliance on the assumption that unlabeled training data only contains normal instances. To o…