Majority voting-based hybrid feature selection in machine learning paradigm for epilepsy detection using EEG.
Sunandan MandalBikesh Kumar SinghKavita ThakurPublished in: Int. J. Comput. Vis. Robotics (2021)
Keyphrases
- majority voting
- feature selection
- machine learning
- support vector machine
- epileptic seizures
- eeg signals
- knn
- ensemble classifier
- k nearest neighbor
- ensemble methods
- text categorization
- weighted voting
- text classification
- eeg data
- machine learning methods
- object detection
- temporal lobe epilepsy
- natural language processing
- feature extraction
- information extraction
- model selection
- data mining
- learning algorithm
- support vector
- classification accuracy
- binary classification
- preprocessing step
- ensemble learning
- machine learning algorithms
- unsupervised learning
- learning problems
- change detection
- nearest neighbor
- classification algorithm
- decision trees
- text mining
- signal processing
- data sets