| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8840354 | Journal of Neuroscience Methods | 2018 | 26 Pages |
Abstract
The performance of multi-label automatic-classification systems strongly depends on the choice of the voting scheme used for combining binary-classification labels.
Keywords
MMSEFDRAlzheimerAlzheimer’s Disease Neuroimaging Initiativemild cognitive impairmentCross validationMRIAlzheimer’s diseaseMagnetic resonanceMagnetic resonance imagingVoting schemewhite matterSVMSupport vector machineMini Mental State ExaminationMCIartificial intelligenceADNIhealthy controlsMachine learning
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Authors
C. Salvatore, I. Castiglioni,