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

Lorenzo Perini, Vincent Vercruyssen, Jesse Davis. Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions. In Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part III. Volume 12459 of Lecture Notes in Computer Science, pages 227-243, Springer, 2020. [doi]

Abstract

Abstract is missing.