Ensemble of classifiers applied to motor imagery task classification for BCI applications.
Alimed Celecia RamosRené González HernandezMarley M. B. R. VellascoPedro C. G. da S. VellascoPublished in: IJCNN (2017)
Keyphrases
- motor imagery
- brain computer interface
- eeg signals
- final classification
- feature selection
- classifier ensemble
- training set
- decision trees
- multiple classifiers
- ensemble classifier
- training data
- support vector
- online training
- multiple classifier systems
- svm classifier
- classification algorithm
- classification accuracy
- machine learning
- combining classifiers
- majority voting
- signal processing
- ensemble learning
- support vector machine
- pattern classification
- feature ranking
- naive bayes
- decision tree classifiers
- accurate classifiers
- machine learning algorithms
- eeg data
- class labels
- spinal cord injury
- non stationary
- healthy subjects
- individual classifiers
- classifier combination
- weak learners
- machine learning methods
- independent component analysis
- weak classifiers
- base classifiers