From SMOTE to Mixup for Deep Imbalanced Classification.
Wei-Chao ChengTan-Ha MaiHsuan-Tien LinPublished in: TAAI (1) (2023)
Keyphrases
- imbalanced data sets
- class imbalance
- imbalanced datasets
- imbalanced data
- class imbalanced
- pattern recognition
- classification accuracy
- feature extraction
- class distribution
- generalization ability
- image classification
- cost sensitive
- benchmark datasets
- support vector
- machine learning
- minority class
- cost sensitive learning
- highly skewed
- decision trees
- benchmark data sets
- support vector machine svm
- classification models
- pattern classification
- concept learning
- machine learning methods
- class labels
- machine learning algorithms
- unsupervised learning
- model selection
- text classification
- support vector machine
- feature space