Combinations of EEG Topographic Feature Maps for the Classification of ADHD.
Sude PehlivanOnur AkdemirOzlem Karabiber CuraBurak AkbugdayAydin AkanPublished in: EUSIPCO (2023)
Keyphrases
- feature maps
- feature vectors
- classification accuracy
- eeg signals
- feature space
- eeg data
- decision trees
- support vector
- feature extraction
- pattern recognition
- image classification
- model selection
- feature selection
- self organizing maps
- kernel function
- unsupervised learning
- neural network
- training samples
- rough sets
- supervised learning
- fuzzy rules
- fuzzy neural network
- brain computer interface
- support vector machine
- active learning