Random forest and rotation forest ensemble methods for classification of epileptic EEG signals based on improved 1D-LBP feature extraction.
Amirreza Geran MalekMojtaba MansooriHesam OmranpourPublished in: Int. J. Imaging Syst. Technol. (2021)
Keyphrases
- ensemble methods
- eeg signals
- rotation forest
- random forest
- feature extraction
- extracted features
- random forests
- decision trees
- benchmark datasets
- prediction accuracy
- machine learning methods
- signal processing
- base classifiers
- feature set
- generalization ability
- eeg data
- brain computer interface
- ensemble learning
- majority voting
- classifier ensemble
- face recognition
- ensemble classifier
- image processing
- pattern recognition
- feature selection
- subspace methods
- feature vectors
- image classification
- support vector
- feature space
- feature subset
- neural network
- classification algorithm
- individual classifiers
- naive bayes