Anchor-based oversampling for imbalanced tabular data via contrastive and adversarial learning

Hadi Mohammadi, Ehsan Nazerfard, Mostafa Haghir Chehreghani

Imbalanced data represent a distribution with more frequencies of one class (majority) than the other (minority). This phenomenon occurs across various domains, such as security, m…