Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection

Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton. Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection. In Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I. Volume 10534 of Lecture Notes in Computer Science, pages 20-35, Springer, 2017. [doi]

@inproceedings{FreryHSCH17,
  title = {Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection},
  author = {Jordan Fréry and Amaury Habrard and Marc Sebban and Olivier Caelen and Liyun He-Guelton},
  year = {2017},
  doi = {10.1007/978-3-319-71249-9_2},
  url = {https://doi.org/10.1007/978-3-319-71249-9_2},
  researchr = {https://researchr.org/publication/FreryHSCH17},
  cites = {0},
  citedby = {0},
  pages = {20-35},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I},
  editor = {Michelangelo Ceci and Jaakko Hollmén and Ljupco Todorovski and Celine Vens and Saso Dzeroski},
  volume = {10534},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-71249-9},
}