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
- decision trees
- support vector
- voting methods
- training data
- randomized trees
- classifier ensemble
- classification algorithm
- decision boundary
- support vector machine svm
- decision tree classifiers
- ensemble methods
- individual classifiers
- feature selection
- signal processing
- generalization ability
- brain activity
- knn
- machine learning
- extracted features
- base classifiers
- decision forest
- motor imagery
- multi class
- random forest
- k nearest neighbor
- kernel density estimators
- classification accuracy
- feature vectors
- linear discriminant classifier
- kernel function
- brain computer interface
- random forests
- weak classifiers
- training samples
- ensemble members
- neural network
- gray level
- electrical activity