Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders.
Arnab Kumar MondalLakshya SinghalPiyush TiwaryParag SinglaPrathosh APPublished in: AISTATS (2023)
Keyphrases
- minority class
- imbalanced data
- majority class
- class imbalance
- class distribution
- imbalanced datasets
- classification error
- class imbalanced
- nearest neighbour
- decision boundary
- cost sensitive learning
- support vector machine
- sampling methods
- original data
- misclassification costs
- training dataset
- ensemble learning
- cost sensitive
- training set
- feature selection
- highly imbalanced
- active learning
- training data
- linear regression
- high dimensionality
- test set
- ensemble methods
- missing values
- training samples
- supervised learning
- least squares
- data streams