Counterfactual-based minority oversampling for imbalanced classification.
Shu WangHao LuoShanshan HuangQingsong LiLi LiuGuoxin SuMing LiuPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- minority class
- class imbalance
- majority class
- class distribution
- class imbalanced
- support vector machine
- support vector
- imbalanced datasets
- classification accuracy
- decision boundary
- cost sensitive
- imbalanced data sets
- imbalanced data
- supervised learning
- pattern recognition
- text classification
- classification method
- feature extraction
- feature selection
- cost sensitive learning
- automatic classification
- pattern classification
- image classification
- machine learning methods
- support vector machine svm
- training set
- feature space
- preprocessing
- machine learning
- svm classifier
- classification scheme
- classification systems
- benchmark datasets
- binary classification problems
- active learning
- imbalanced class distribution