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Binary and multi-class Parkinsonian disorders classification using Support Vector Machines with graph-based features

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)

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Item Type: Working Paper (Working Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Research Area: Computer Science and Applications
Depositing User: Caterina Tangheroni
Date Deposited: 26 Feb 2016 15:47
Last Modified: 01 Mar 2016 10:41
URI: http://eprints.imtlucca.it/id/eprint/3145

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