Handling Imbalanced Data: Uncertainty-Guided Virtual Adversarial Training With Batch Nuclear-Norm Optimization for Semi-Supervised Medical Image Classification.
Peng LiuGuoyan ZhengPublished in: IEEE J. Biomed. Health Informatics (2022)
Keyphrases
- imbalanced data
- image classification
- semi supervised
- low rank
- supervised learning
- norm minimization
- svm classifier
- sparse representation
- training process
- labeled data
- semi supervised learning
- class distribution
- training set
- active learning
- matrix completion
- classification models
- sampling methods
- image representation
- feature extraction
- decision trees
- feature selection
- random forest
- ensemble methods
- linear regression
- sparse coding
- training data
- machine learning
- missing data
- training examples
- training samples
- generative model
- class imbalance
- graph cuts
- pairwise