Proceedings of Machine Learning Research

Volume 241: Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 18 September 2023, ECML-PKDD, Turin, Italy

Editors: Nuno Moniz, Paula Branco, Luis Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang

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Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance

Damian Horna, Mateusz Lango, Jerzy Stefanowski; Proceedings of the Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 241:1-15

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The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems

Adrian Stando, Mustafa Cavus, Przemyslaw Biecek; Proceedings of the Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 241:16-30

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Performance Estimation bias in Class Imbalance with Minority Subconcepts

Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz; Proceedings of the Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 241:31-44

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FSDA: Tackling Tail-Event Analysis in Imbalanced Time Series Data with Feature Selection and Data Augmentation

Raphael Krief, Eric Benhamou, Beatrice Guez, Jean-Jacques Ohana, David Saltiel, Rida Laraki, Jamal Atif; Proceedings of the Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, PMLR 241:45-58

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