Confronting Discrimination in Classification: Smote Based on Marginalized Minorities in the Kernel Space for Imbalanced Data.
Lingyun ZhongPublished in: CoRR (2024)
Keyphrases
- imbalanced data
- imbalanced data sets
- feature selection
- imbalanced datasets
- classification models
- kernel space
- support vector machine
- class imbalance
- class distribution
- decision trees
- svm classifier
- linear regression
- ensemble classifier
- ensemble methods
- support vector machine svm
- pattern recognition
- minority class
- class imbalanced
- random forest
- sampling methods
- cost sensitive
- decision boundary
- principal components
- image classification