Interpretability

Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions @ ECML20

Anomaly detection focuses on identifying examples in the data that somehow deviate from what is expected or typical. Algorithms for this task usually assign a score to each example that represents how anomalous the example is. Then, a threshold on …