Maximal Information Coefficient-Based Undersampling Method for Highly-Imbalanced Learning by Haiou Qin

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Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets by Sedat Korkmaz

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Hybrid clustering strategies for effective oversampling and undersampling in multiclass classification by Amirreza Salehi, Majid Khedmati

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Machine Learning Algorithms Analysis of Synthetic Minority Oversampling Technique (SMOTE): Application to Credit Default Prediction by Emmanuel de-Graft Johnson Owusu-Ansah, Richard Doamekpor, Richard Kodzo Avuglah, Yaa Kyere Adwubi

Subjects: “…credit scoring, smote, oversampling, undersampling, class imbalance, machine learning algorithms…”
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Joint estimation of frequency and DOA with spatio-temporal under sampling by Xiang-dong HUANG, Hong-yu XIAN, Zi-yang YAN, Sen-xue JING

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