Classification of temporal ICA components for separating global noise from fMRI data: Reply to Power.
Matthew F. GlasserTimothy S. CoalsonJanine D. BijsterboschSamuel J. HarrisonMichael P. HarmsAlan AnticevicDavid C. Van EssenStephen M. SmithPublished in: NeuroImage (2019)
Keyphrases
- feature extraction
- classification accuracy
- preprocessing
- independent component analysis
- classification scheme
- machine learning
- decision trees
- support vector machine svm
- spatio temporal
- classification method
- classification systems
- classification models
- automatic classification
- decision rules
- noise reduction
- pattern recognition
- face recognition
- pattern classification
- temporal data
- signal to noise ratio
- training samples
- text classification
- feature set
- feature vectors
- training set
- class labels
- temporal constraints
- noise model
- independent components
- principle component analysis
- noise level
- classification rules
- svm classifier
- signal processing
- supervised learning
- multi class
- feature selection