Enhanced Epileptic Seizure diagnosis using EEG Signals with Support vector machine and Bagging Classifiers.
Rana Al-RawashdehMohammad Al-Fawa'rehWail MardiniPublished in: Int. J. Commun. Networks Inf. Secur. (2021)
Keyphrases
- epileptic seizures
- eeg signals
- support vector machine
- majority voting
- ensemble classifier
- svm classifier
- training set
- imbalanced data
- ensemble learning
- support vector
- voting methods
- decision trees
- decision boundary
- training data
- classifier ensemble
- individual classifiers
- decision tree classifiers
- ensemble methods
- knn
- randomized trees
- multi class
- base classifiers
- feature selection
- machine learning
- support vector machine svm
- generalization ability
- classification algorithm
- brain activity
- k nearest neighbor
- signal processing
- brain computer interface
- weak classifiers
- kernel function
- extracted features
- eeg data
- decision forest
- kernel density estimators
- random forests
- random forest
- feature vectors
- motor imagery
- feature space
- brain signals
- feature extraction
- learning algorithm
- training samples
- feature set
- semi supervised
- classification accuracy
- electrical activity
- computer vision