17 citations · 44 across the 9 of their papers we have counts for
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Oliver Urs Lenz, Matthijs van Leeuwen
Semi-supervised anomaly detection is based on the principle that any record that looks different from normal training data is a potential anomaly. However, in some cases we are spe…