CS-AF: A cost-sensitive multi-classifier active fusion framework for skin lesion classification.
Di ZhuangKeyu ChenJ. Morris ChangPublished in: Neurocomputing (2022)
Keyphrases
- cost sensitive
- cost sensitive classification
- cost sensitive learning
- fusion framework
- multi class
- misclassification costs
- support vector machine
- binary classification
- skin lesion
- class imbalance
- binary classifiers
- active learning
- fusion process
- naive bayes
- class distribution
- decision trees
- class labels
- classification algorithm
- classification accuracy
- pattern recognition
- feature selection
- machine learning
- classification models
- svm classifier
- combining multiple
- feature space
- training data
- image processing
- classification error
- roc curve
- knn
- fusion method
- training set
- support vector