Removal of Confounding Factors using GA-SVM Feature Adaptation: Application on Detection of Vocal Fatigue thru sEMG Classification.
Yixiang GaoGuilherme N. DeSouzaMark BerardiMaria DietrichPublished in: CEC (2023)
Keyphrases
- support vector machine svm
- support vector
- feature vectors
- support vector machine
- svm classification
- classification algorithm
- unbalanced data
- classification method
- machine learning
- feature selection
- classification accuracy
- feature extraction
- genetic algorithm
- feature space
- feature set
- svm classifier
- training set
- pattern recognition
- high classification accuracy
- detection method
- input features
- improves the classification accuracy
- generalization ability
- adaboost classifier
- genetic algorithm ga
- feature maps
- feature values
- selection criterion
- class labels
- image features
- multi class svm
- machine learning algorithms
- training data
- partially supervised
- image classification
- support vector machine classifiers
- model selection
- decision forest
- kernel methods
- feature ranking
- decision boundary
- cost sensitive