An Improving Majority Weighted Minority Oversampling Technique for Imbalanced Classification Problem
Abstract: Minority oversampling techniques have played a pivotal role in the field of imbalanced learning. While traditional oversampling algorithms can cause problems such as intra-class imbalance of ...
Abstract: Credit card fraud detection presents a persistent challenge due to severe class imbalance and the high costs associated with undetected fraudulent transactions. While oversampling techniques ...
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