Oversampling With Reliably Expanding Minority Class Regions for Imbalanced Data Learning
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DOI: 10.1109/tkde.2022.3171706
Abstract: This paper proposes a simple interpolation Oversampling method with the purpose of Reliably Expanding the Minority class regions (OREM). OREM first finds the candidate minority region around each original minority sample, then exploits this region… read more here.
Keywords: class; expanding minority; class regions; minority class ... See more keywords