Multiple adaptive over-sampling for imbalanced data evidential classification.
Zhen ZhangHong-peng TianJin-shuai JinPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- imbalanced data
- classification models
- highly skewed
- class imbalance
- support vector machine
- sampling methods
- imbalanced datasets
- imbalanced data sets
- linear regression
- feature selection
- highly imbalanced
- majority class
- minority class
- class distribution
- ensemble methods
- svm classifier
- decision trees
- imbalanced class distribution
- random forest
- machine learning
- benchmark datasets
- ensemble classifier
- classification accuracy
- support vector machine svm
- pattern recognition
- supervised learning
- training data
- active learning
- text classification
- image classification
- feature extraction
- model selection
- machine learning methods