Stop Oversampling for Class Imbalance Learning: A Critical Approach Review

Author:

Tarawneha Ahmad S.,Hassanat Ahmad B. A.,Altarawneh Ghada

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference191 articles.

1. Learning from class-imbalanced data: Review of methods and applications;G Haixiang;Expert Systems with Applications,2017

2. A review on ensembles for the class imbalance problem: bagging-, boosting-, and hybrid-based approaches;M Galar;IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews),2011

3. Foundations of Imbalanced Learning

4. Learning from class-imbalanced data with a model-agnostic framework for machine intelligent diagnosis;J Wu;Reliability Engineering & System Safety,2021

5. Trainable undersampling for class-imbalance learning;M Peng;Proceedings of the AAAI Conference on Artificial Intelligence,2019

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