Toward Supervised Anomaly Detection

Nico Goernitz, Marius Micha Kloft, Konrad Rieck +1

Anomaly detection is being regarded as an unsupervised learning task as anomalies stem from adversarial or unlikely events with unknown distributions. However, the predictive perfo…