Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks.
Nicha C. DvornekPamela VentolaJames S. DuncanPublished in: ISBI (2018)
Keyphrases
- recurrent neural networks
- neural network
- recurrent networks
- feed forward
- classification accuracy
- support vector
- pattern recognition
- echo state networks
- feature space
- decision making
- eeg signals
- machine learning
- high dimensional
- feature vectors
- image processing
- pattern classification
- magnetic resonance
- extracted features
- healthy subjects
- feature selection