CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification.
Di ZhuangKeyu ChenJ. Morris ChangPublished in: CoRR (2020)
Keyphrases
- cost sensitive
- cost sensitive classification
- cost sensitive learning
- fusion framework
- multi class
- misclassification costs
- support vector machine
- skin lesion
- class imbalance
- binary classification
- binary classifiers
- support vector
- feature selection
- naive bayes
- active learning
- class labels
- class distribution
- combining multiple
- boosting algorithms
- svm classifier
- classification accuracy
- classification algorithm
- higher order
- training set
- training data
- decision trees
- computer aided
- classification models
- data mining
- extracted features
- feature space
- pattern recognition
- multiscale
- feature extraction
- image processing
- malignant melanoma