Generative Oversampling for Imbalanced Data via Majority-Guided VAE.
Qingzhong AiPengyun WangLirong HeLiangjian WenLujia PanZenglin XuPublished in: CoRR (2023)
Keyphrases
- imbalanced data
- class imbalance
- minority class
- majority class
- sampling methods
- class distribution
- linear regression
- generative model
- feature selection
- imbalanced datasets
- random forest
- active learning
- cost sensitive
- cost sensitive learning
- support vector machine
- ensemble methods
- random sampling
- decision trees
- classification models
- classification error
- non stationary
- machine learning methods
- benchmark datasets
- knn
- svm classifier
- unsupervised learning
- machine learning
- original data
- high dimensionality