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Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced...
The paper considers credit-related decisions in the financial industry, which heavily relies on ML for decision support. Class imbalance is a common problem in supervised... -
KEEL-dataset
A dataset for imbalanced learning -
A Novel Hybrid Sampling Framework for Imbalanced Learning
The proposed hybrid sampling framework for imbalanced learning
