Improving SMOTE via fusing conditional VAE for data-adaptive noise filtering Improving SMOTE via fusing conditional VAE for data-adaptive noise filtering

Recent advances in a generative neural network model extend the development of data augmentation methods. However, the augmentation methods based on the modern generative models fail to achieve notable improvement in class imbalance data compared to the conventional model, Synthetic Minority Oversam...

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