Classification of ADHD by Using Multiple Feature Maps of EEG Signals and Deep Feature Extraction.
Ozlem Karabiber CuraSibel Kocaaslan AtliSena Yagmur SenAydin AkanPublished in: EUSIPCO (2023)
Keyphrases
- eeg signals
- feature extraction
- feature maps
- extracted features
- feature vectors
- feature space
- brain computer interface
- pattern recognition
- motor imagery
- linear discriminant classifier
- support vector machine svm
- signal processing
- image classification
- eeg data
- classification accuracy
- face recognition
- kernel density estimators
- training samples
- neural network
- text classification
- unsupervised learning
- feature set
- decision rules
- positive and negative
- object recognition
- support vector
- multiscale
- decision trees
- image processing