A Synthetic Minority Oversampling Technique Based on Gaussian Mixture Model Filtering for Imbalanced Data Classification.
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DOI: 10.1109/tnnls.2022.3197156
Abstract: Data imbalance is a common phenomenon in machine learning. In the imbalanced data classification, minority samples are far less than majority samples, which makes it difficult for minority to be effectively learned by classifiers A… read more here.
Keywords: synthetic minority; minority; imbalanced data; oversampling technique ... See more keywords