LAUSR

Stop Oversampling for Class Imbalance Learning: A Review

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1 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3169512

Abstract: For the last two decades, oversampling has been employed to overcome the challenge of learning from imbalanced datasets. Many approaches to solving this challenge have been offered in the literature. Oversampling, on the other hand,… read more here.

Keywords: stop oversampling; class; oversampling methods; oversampling class ... See more keywords