Maximal Information Coefficient-Based Undersampling Method for Highly-Imbalanced Learning
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DOI: 10.1109/access.2025.3525475
Abstract: Learning from highly-imbalanced datasets is still a big challenge in the field of machine learning because models created by general learning algorithms are weak in recognizing the samples from the minority class correctly. Undersampling is… read more here.
Keywords: maximal information; undersampling method; highly imbalanced; information coefficient ... See more keywords