A broad review on class imbalance learning techniques

The imbalanced learning issue is related to the performance of learning algorithms in the presence of asymmetrical class distribution. Due to the complex characteristics of imbalanced datasets, learning from such data need new algorithms and understandings to convert efficient large amounts of initi...

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Bibliographic Details
Published inApplied soft computing Vol. 143; p. 110415
Main Authors Rezvani, Salim, Wang, Xizhao
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.08.2023
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