Radial-Based Oversampling for Multiclass Imbalanced Data Classification
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DOI: 10.1109/tnnls.2019.2913673
Abstract: Learning from imbalanced data is among the most popular topics in the contemporary machine learning. However, the vast majority of attention in this field is given to binary problems, while their much more difficult multiclass… read more here.
Keywords: oversampling multiclass; based oversampling; imbalanced data; multiclass ... See more keywords