Adversarial oversampling for multi-class imbalanced data classification with convolutional neural networks

Adam Wojciechowski, Mateusz Lango
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:98-111, 2022.

Cite this Paper

BibTeX
@InProceedings{pmlr-v183-wojciechowski22a, title = {Adversarial oversampling for multi-class imbalanced data classification with convolutional neural networks}, author = {Wojciechowski, Adam and Lango, Mateusz}, booktitle = {Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications}, pages = {98--111}, 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/wojciechowski22a/wojciechowski22a.pdf}, url = {https://proceedings.mlr.press/v183/wojciechowski22a.html} }
Endnote
%0 Conference Paper %T Adversarial oversampling for multi-class imbalanced data classification with convolutional neural networks %A Adam Wojciechowski %A Mateusz Lango %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-wojciechowski22a %I PMLR %P 98--111 %U https://proceedings.mlr.press/v183/wojciechowski22a.html %V 183
APA
Wojciechowski, A. & Lango, M.. (2022). Adversarial oversampling for multi-class imbalanced data classification with convolutional neural networks. Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, in Proceedings of Machine Learning Research 183:98-111 Available from https://proceedings.mlr.press/v183/wojciechowski22a.html.

Related Material