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

Perini et al. "Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. doi:10.1007/978-3-030-67664-3_14

[Perini et al. "Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020.](https://mlanthology.org/ecmlpkdd/2020/perini2020ecmlpkdd-quantifying/) doi:10.1007/978-3-030-67664-3_14

@inproceedings{perini2020ecmlpkdd-quantifying,
  title     = {{Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions}},
  author    = {Perini, Lorenzo and Vercruyssen, Vincent and Davis, Jesse},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2020},
  pages     = {227-243},
  doi       = {10.1007/978-3-030-67664-3_14},
  url       = {https://mlanthology.org/ecmlpkdd/2020/perini2020ecmlpkdd-quantifying/}
}