Assessing the Robustness of Ordinal Classifiers against Imbalanced and Shifting Distributions

Thomas Bonnier, Benjamin Bosch
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 183:112-126, 2022.

Cite this Paper

BibTeX
@InProceedings{pmlr-v183-bonnier22a, title = {Assessing the Robustness of Ordinal Classifiers against Imbalanced and Shifting Distributions}, author = {Bonnier, Thomas and Bosch, Benjamin}, booktitle = {Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications}, pages = {112--126}, 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/bonnier22a/bonnier22a.pdf}, url = {https://proceedings.mlr.press/v183/bonnier22a.html} }
Endnote
%0 Conference Paper %T Assessing the Robustness of Ordinal Classifiers against Imbalanced and Shifting Distributions %A Thomas Bonnier %A Benjamin Bosch %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-bonnier22a %I PMLR %P 112--126 %U https://proceedings.mlr.press/v183/bonnier22a.html %V 183
APA
Bonnier, T. & Bosch, B.. (2022). Assessing the Robustness of Ordinal Classifiers against Imbalanced and Shifting Distributions. Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, in Proceedings of Machine Learning Research 183:112-126 Available from https://proceedings.mlr.press/v183/bonnier22a.html.

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