Preictal phase detection on EEG signals using hybridized machine learning classifiers with a novel feature selection procedure based GAs and ICOMP.
Ozan KocadagliEzgi OzerArnaldo G. BatistaPublished in: Expert Syst. Appl. (2023)
Keyphrases
- eeg signals
- machine learning
- machine learning algorithms
- feature set
- machine learning methods
- decision trees
- adaboost classifier
- feature selection
- event related potentials
- haar features
- machine learning approaches
- signal processing
- feature ranking
- genetic algorithm
- fold cross validation
- supervised classification
- detection rate
- extracted features
- training data
- epileptic seizures
- face detection
- detection method
- support vector
- pattern recognition
- supervised learning
- kernel density estimators
- learning algorithm
- object detection
- brain computer interface
- detection algorithm
- learning classifier systems
- training set
- motor imagery
- genetic algorithm ga
- active learning
- feature vectors
- weak classifiers
- feature values
- text classification
- brain activity
- face recognition
- computer vision
- data mining