relation: http://eprints.imtlucca.it/3145/
title: Binary and  multi-class Parkinsonian disorders classification using Support Vector Machines with  graph-based features
creator: Morisi, Rita
creator: Gnecco, Giorgio
creator: Lanconelli, Nico
creator: Zanigni, Stefano
creator: Manners, David Neil
creator: Testa, Claudia
creator: Evangelisti, Stefania
creator: Gramegna, Laura Ludovica
creator: Bianchini, Claudio
creator: Cortelli, Pietro
creator: Tonon, Caterina
creator: Lodi, Raffaele
subject: QA75 Electronic computers. Computer science
subject: RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
date: 2016
type: Working Paper
type: NonPeerReviewed
identifier:   Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, Laura Ludovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele  Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features.  Working Paper       (Submitted)