AWGAN: An adaptive weighting GAN approach for oversampling imbalanced datasets.
Shaopeng GuanXiaoyan ZhaoYuewei XueHao PanPublished in: Inf. Sci. (2024)
Keyphrases
- imbalanced datasets
- class imbalance
- minority class
- class distribution
- sampling methods
- learning from imbalanced data
- cost sensitive learning
- majority class
- active learning
- imbalanced data
- cost sensitive
- high dimensionality
- decision trees
- ensemble methods
- training dataset
- training set
- feature selection algorithms
- classification error
- similarity measure
- original data
- training data
- concept drift
- decision boundary
- learning algorithm
- prediction accuracy
- bayesian networks
- feature selection