Stacked Sparse Autoencoder and Machine Learning Based Anxiety Classification Using EEG Signals.
Shikha ShikhaManan AgrawalMohd Ayaan AnwarDivyashikha SethiaPublished in: AIMLSystems (2021)
Keyphrases
- eeg signals
- machine learning
- machine learning methods
- motor imagery
- signal processing
- decision trees
- pattern recognition
- healthy subjects
- machine learning approaches
- machine learning algorithms
- supervised machine learning
- fold cross validation
- text classification
- support vector machine
- supervised learning
- model selection
- eeg data
- high dimensional
- brain activity
- information extraction
- pattern classification
- image classification
- brain computer interface
- sparse representation
- image analysis
- unsupervised learning
- feature extraction
- linear discriminant classifier
- extracted features
- support vector machine svm
- restricted boltzmann machine
- feature space
- brain signals