%0 Journal Article %1 perini2020quantifying %A Perini, Lorenzo %A Vercruyssen, Vincent %A Davis, Jesse %D 2020 %K anomaly_detection confidence %T Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions

@article{perini2020quantifying, added-at = {2021-09-15T13:51:26.000+0200}, author = {Perini, Lorenzo and Vercruyssen, Vincent and Davis, Jesse}, biburl = {https://www.bibsonomy.org/bibtex/2e3157b789aaefe1e793ec07caa3febdc/tritsch}, interhash = {7da46f41f0e6ccdcc6805d8f70d58bb4}, intrahash = {e3157b789aaefe1e793ec07caa3febdc}, keywords = {anomaly_detection confidence}, timestamp = {2021-09-15T13:51:45.000+0200}, title = {Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions}, year = 2020 }