RGAN-EL: A GAN and ensemble learning-based hybrid approach for imbalanced data classification.
Hongwei DingYu SunZhenyu WangNana HuangZhidong ShenXiaohui CuiPublished in: Inf. Process. Manag. (2023)
Keyphrases
- ensemble learning
- imbalanced data classification
- feature selection
- minority class
- ensemble methods
- generalization ability
- random forest
- support vector machine
- active learning
- dimensionality reduction
- concept drift
- data sets
- high dimensionality
- base learners
- base classifiers
- model selection
- class imbalance
- unlabeled data
- supervised learning
- nearest neighbor
- pattern recognition
- support vector
- feature extraction
- decision trees
- neural network