G-SMOTE: A GMM-based synthetic minority oversampling technique for imbalanced learning

Tianlun Zhang, Xi Yang

Imbalanced Learning is an important learning algorithm for the classification models, which have enjoyed much popularity on many applications. Typically, imbalanced learning algori…