382 citations · 437 across the 6 of their papers we have counts for
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cs.LG2019★ 29 cited
Deep Semi-Supervised Anomaly Detection
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz +4
Deep approaches to anomaly detection have recently shown promising results over shallow methods on large and complex datasets. Typically anomaly detection is treated as an unsuperv…
cs.LG2014★ 382 cited
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…