Hybrid Classifier Ensemble for Imbalanced Data
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DOI: 10.1109/tnnls.2019.2920246
Abstract: The class imbalance problem has become a leading challenge. Although conventional imbalance learning methods are proposed to tackle this problem, they have some limitations: 1) undersampling methods suffer from losing important information and 2) cost-sensitive… read more here.
Keywords: classifier ensemble; imbalance; ensemble imbalanced; problem ... See more keywords