EID-GAN: Generative Adversarial Nets for Extremely Imbalanced Data Augmentation.
Wei LiJinlin ChenJiannong CaoChao MaJia WangXiaohui CuiPing ChenPublished in: IEEE Trans. Ind. Informatics (2023)
Keyphrases
- imbalanced data
- learning from imbalanced data
- generative model
- class distribution
- ensemble methods
- support vector machine
- classification models
- linear regression
- imbalanced datasets
- random forest
- sampling methods
- class imbalance
- feature selection
- decision trees
- data sets
- unsupervised learning
- high dimensionality
- image classification
- ensemble learning
- least squares
- probabilistic model