CTGAN-MOS: Conditional Generative Adversarial Network Based Minority-Class-Augmented Oversampling Scheme for Imbalanced Problems.
Abdul MajeedSeong Oun HwangPublished in: IEEE Access (2023)
Keyphrases
- minority class
- class imbalance
- class distribution
- imbalanced data
- majority class
- imbalanced datasets
- high dimensionality
- imbalanced class distribution
- classification error
- decision boundary
- imbalanced data sets
- multi class
- rare events
- generative model
- cost sensitive learning
- ensemble learning
- kernel function
- single class
- active learning
- nearest neighbour