RSMOTE: a self-adaptive robust SMOTE for imbalanced problems with label noise

DOI10.1016/j.ins.2020.10.013zbMath1483.68283OpenAlexW3093212523MaRDI QIDQ2123573

Binggui Wang, Zizhong Chen, Shuyin Xia, Baiyun Chen, Guo-Yin Wang

Publication date: 14 April 2022

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.10.013

zbMATH Keywords

clusteringself-adaptiveimbalanced classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Quantification on the generalization performance of deep neural network with Tychonoff separation axioms

Uses Software

• GitHub
• MWMOTE
• Multi-imbalance
• SMOTE

Cites Work

• A novel boundary oversampling algorithm based on neighborhood rough set model: NRSBoundary-SMOTE
• A three-way decision ensemble method for imbalanced data oversampling
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