On oversampling imbalanced data with deep conditional generative models.
Val Andrei FajardoDavid FindlayCharu JaiswalXinshang YinRoshanak HoumanfarHonglei XieJiaxi LiangXichen SheD. B. EmersonPublished in: Expert Syst. Appl. (2021)
Keyphrases
- generative model
- imbalanced data
- class imbalance
- minority class
- class distribution
- probabilistic model
- sampling methods
- active learning
- semi supervised
- support vector machine
- prior knowledge
- ensemble methods
- em algorithm
- conditional random fields
- cost sensitive learning
- decision trees
- high dimensionality
- nearest neighbour
- classification error
- conditional probabilities
- cost sensitive
- svm classifier
- expectation maximization
- training set
- image segmentation
- feature selection
- object categories
- classification models
- original data
- data sets
- decision boundary
- ensemble classifier
- graphical models