Multi-Class Seizure Type Classification Using Features Extracted from the EEG.
Abirami SelvarajSwarubini PJJohn ThomasYuvaraj RajamanickamRamshekhar N. MenonJac Fredo Agastinose RonickomPublished in: ICIMTH (2023)
Keyphrases
- multi class
- eeg signals
- extracted features
- support vector machine
- multiclass classification
- multi class classifier
- binary classifiers
- multi class classification
- kernel fisher
- multi class boosting
- multiple classes
- feature vectors
- feature set
- binary and multi class
- feature extraction
- multiclass problems
- classification accuracy
- svm classifier
- class probabilities
- multi class svms
- feature space
- binary classification
- cost sensitive
- feature selection
- eeg data
- multi class svm
- multi class classifiers
- brain computer interface
- pairwise
- signal processing
- class labels
- binary classification problems
- single class
- binary classification tasks
- protein classification
- support vector machine svm
- text classification
- multiple types
- image features
- error correcting output codes
- multi class object detection
- multi class problems
- brain activity
- high dimensionality
- epileptic seizures
- multi task
- kernel logistic regression
- classification algorithm
- object detection
- base classifiers