105 citations · 132 across the 9 of their papers we have counts for
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cs.CV2020★ 105 cited
Explainable Deep One-Class Classification
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen +3
Deep one-class classification variants for anomaly detection learn a mapping that concentrates nominal samples in feature space causing anomalies to be mapped away. Because this tr…
cs.LG2020★ 13 cited
Rethinking Assumptions in Deep Anomaly Detection
Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks +2
Though anomaly detection (AD) can be viewed as a classification problem (nominal vs. anomalous) it is usually treated in an unsupervised manner since one typically does not have ac…