The Hidden Cost of Fraud: An Instance-Dependent Cost-Sensitive Approach for Positive and Unlabeled Learning

Carlos Ortega Vasquez, Jochen De Weerdt, Seppe vanden Broucke
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:53-67, 2022.

Cite this Paper

BibTeX
@InProceedings{pmlr-v183-vasquez22a, title = {The Hidden Cost of Fraud: An Instance-Dependent Cost-Sensitive Approach for Positive and Unlabeled Learning}, author = {Vasquez, Carlos Ortega and Weerdt, Jochen De and vanden Broucke, Seppe}, booktitle = {Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications}, pages = {53--67}, year = {2022}, editor = {Moniz, Nuno and Branco, Paula and Torgo, Luís and Japkowicz, Nathalie and Wozniak, Michal and Wang, Shuo}, volume = {183}, series = {Proceedings of Machine Learning Research}, month = {23 Sep}, publisher = {PMLR}, pdf = {https://proceedings.mlr.press/v183/vasquez22a/vasquez22a.pdf}, url = {https://proceedings.mlr.press/v183/vasquez22a.html} }
Endnote
%0 Conference Paper %T The Hidden Cost of Fraud: An Instance-Dependent Cost-Sensitive Approach for Positive and Unlabeled Learning %A Carlos Ortega Vasquez %A Jochen De Weerdt %A Seppe vanden Broucke %B Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications %C Proceedings of Machine Learning Research %D 2022 %E Nuno Moniz %E Paula Branco %E Luís Torgo %E Nathalie Japkowicz %E Michal Wozniak %E Shuo Wang %F pmlr-v183-vasquez22a %I PMLR %P 53--67 %U https://proceedings.mlr.press/v183/vasquez22a.html %V 183
APA
Vasquez, C.O., Weerdt, J.D. & vanden Broucke, S.. (2022). The Hidden Cost of Fraud: An Instance-Dependent Cost-Sensitive Approach for Positive and Unlabeled Learning. Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, in Proceedings of Machine Learning Research 183:53-67 Available from https://proceedings.mlr.press/v183/vasquez22a.html.

Related Material