Effective EEG Feature Selection for Interpretable MDD (Major Depressive Disorder) Classification.
Vojtech MrazekSoyiba JawedMuhammad ArifAamir Saeed MalikPublished in: GECCO (2023)
Keyphrases
- feature selection
- classification accuracy
- text classification
- feature set
- classification models
- support vector
- feature extraction
- pattern recognition
- eeg signals
- machine learning
- feature space
- support vector machine
- web page classification
- discriminative features
- classification rules
- method for feature selection
- decision trees
- model selection
- support vector machine svm
- feature selection and classification
- irrelevant features
- accurate classification
- mutual information
- feature selection algorithms
- support vector classification
- unsupervised learning
- multi class
- pattern classification
- classification method
- feature subset
- text categorization
- information gain
- high dimensionality
- motor imagery
- redundant features
- eeg data
- naive bayes
- machine learning algorithms
- classification performances
- class separability
- spectral features
- classification algorithm
- dimensionality reduction
- selected features
- microarray data
- signal processing