CIGAN: A Python Package for Handling Class Imbalance using Generative Adversarial Networks.
Yuxiao HuangYan MaPublished in: CoRR (2022)
Keyphrases
- class imbalance
- class distribution
- active learning
- small disjuncts
- cost sensitive
- high dimensionality
- sampling methods
- cost sensitive learning
- imbalanced class distribution
- feature selection
- imbalanced datasets
- concept drift
- random subspaces
- generative model
- unsupervised learning
- minority class
- remote sensing
- training examples
- image registration
- high dimensional
- learning algorithm
- data sets