Enhancing the Classification of EEG Signals using Wasserstein Generative Adversarial Networks.
Vlad Mihai PetrutiuLiana-Daniela PalcuCamelia LemnaruMihaela DînsoreanuRodica PotoleaRaul MursesanVasile Vlad MocaPublished in: ICCP (2020)
Keyphrases
- eeg signals
- eeg data
- signal processing
- healthy subjects
- brain computer interface
- motor imagery
- social networks
- pattern recognition
- classification accuracy
- brain activity
- unsupervised learning
- linear discriminant classifier
- kernel density estimators
- extracted features
- pattern classification
- text classification
- decision trees
- electrical activity
- brain signals
- support vector machine svm
- generative model
- fold cross validation
- discriminative learning
- multi agent
- feature extraction
- feature selection
- machine learning