LoRAS: An oversampling approach for imbalanced datasets

22 Aug 2019Saptarshi BejNarek DavtyanMarkus WolfienMariam NassarOlaf Wolkenhauer

The Synthetic Minority Oversampling TEchnique (SMOTE) is widely-used for the analysis of imbalanced datasets. It is known that SMOTE frequently over-generalizes the minority class, leading to misclassifications for the majority class, and effecting the overall balance of the model... (read more)

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