ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.
Cher BassMariana da SilvaCarole H. SudreLogan Z. J. WilliamsPetru-Daniel TudosiuFidel Alfaro-AlmagroSean P. FitzgibbonMatthew F. GlasserStephen M. SmithEmma C. RobinsonPublished in: CoRR (2021)
Keyphrases
- feature vectors
- support vector
- classification accuracy
- model selection
- classification method
- feature selection
- classification scheme
- classification rules
- support vector machine svm
- image classification
- support vector machine
- feature space
- multi variate
- feature values
- regression problems
- pattern recognition
- classification models
- machine learning
- feature set
- supervised feature selection
- classification and regression problems
- feature weights
- textural features
- feature representation
- gene expression
- training samples
- training set
- text classification
- supervised learning
- support vector regression
- pattern classification
- preprocessing
- regression model