From SMOTE to Mixup for Deep Imbalanced Classification.
Wei-Chao ChengTan-Ha MaiHsuan-Tien LinPublished in: CoRR (2023)
Keyphrases
- imbalanced data sets
- class imbalance
- imbalanced datasets
- imbalanced data
- class distribution
- pattern recognition
- class imbalanced
- machine learning
- support vector machine
- classification accuracy
- minority class
- feature vectors
- text classification
- supervised learning
- image classification
- cost sensitive learning
- support vector
- decision trees
- benchmark data sets
- pattern classification
- svm classifier
- binary classification problems
- high dimensionality
- classification method
- support vector machine svm
- training samples
- unsupervised learning
- training set
- feature space
- feature extraction
- feature selection
- generalization ability
- training dataset
- data generation
- single class
- rare class
- learning algorithm