Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets

David Schubert, Pritha Gupta, Marcel Wever. Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets. In Bruno Crémilleux, Sibylle Hess, Siegfried Nijssen, editors, Advances in Intelligent Data Analysis XXI - 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12-14, 2023, Proceedings. Volume 13876 of Lecture Notes in Computer Science, pages 392-405, Springer, 2023. [doi]

@inproceedings{SchubertGW23,
  title = {Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets},
  author = {David Schubert and Pritha Gupta and Marcel Wever},
  year = {2023},
  doi = {10.1007/978-3-031-30047-9_31},
  url = {https://doi.org/10.1007/978-3-031-30047-9_31},
  researchr = {https://researchr.org/publication/SchubertGW23},
  cites = {0},
  citedby = {0},
  pages = {392-405},
  booktitle = {Advances in Intelligent Data Analysis XXI - 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12-14, 2023, Proceedings},
  editor = {Bruno Crémilleux and Sibylle Hess and Siegfried Nijssen},
  volume = {13876},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-30047-9},
}