Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier.
Syed Fawad HussainSaeed Mian QaisarPublished in: Expert Syst. Appl. (2022)
Keyphrases
- final classification
- binary classification problems
- multiple classifiers
- training set
- decision trees
- classification method
- feature selection
- classifier ensemble
- classification scheme
- classification process
- feature space
- ensemble classifier
- classification rate
- classification algorithm
- class labels
- individual classifiers
- pattern recognition
- support vector
- training data
- ensemble learning
- classification models
- epileptic seizures
- feature extraction
- pattern classification
- decision tree classifiers
- multiple classifier systems
- text classification
- feature set
- classification accuracy
- imbalanced data
- random forest
- combining classifiers
- learning algorithm
- accurate classifiers
- weak learners
- supervised learning
- training samples
- eeg signals
- svm classifier
- sampling methods
- support vector machine svm
- independent component analysis
- motor imagery
- machine learning