Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation.
Yuzhe LuHaichun YangZheyu ZhuRuining DengAgnes B. FogoYuankai HuoPublished in: CoRR (2021)
Keyphrases
- imbalanced data
- classification models
- class imbalance
- decision boundary
- machine learning
- support vector machine
- class distribution
- pattern classification
- imbalanced data sets
- imbalanced datasets
- pattern recognition
- linear regression
- decision trees
- classification accuracy
- machine learning algorithms
- classification algorithm
- image classification
- feature selection
- support vector
- svm classifier
- decision rules
- support vector machine svm
- ensemble classifier
- feature extraction
- training samples
- unlabeled data
- model selection
- ensemble methods
- nearest neighbor
- training set
- benchmark datasets
- minority class
- training data
- text categorization