Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree.
Hezam AlbaqamiGhulam Mubashar HassanAbdulhamit SubasiAmitava DattaPublished in: CoRR (2020)
Keyphrases
- automatic detection
- eeg signals
- gradient boosting
- feature extraction
- decision trees
- extracted features
- loss function
- base learners
- signal processing
- brain computer interface
- pattern classification
- logistic regression
- image processing
- pattern recognition
- naive bayes
- machine learning algorithms
- feature vectors
- support vector machine svm
- feature set
- image classification
- feature selection
- face recognition
- multiresolution
- machine learning
- image analysis
- eeg data
- training set
- training data
- multiscale
- random forests
- feature space
- palmprint
- meta learning
- decision rules
- random forest
- gabor filters
- inductive logic programming
- texture analysis
- texture features