@techreport{eprints3145,
           title = {Binary and
multi-class Parkinsonian disorders classification using Support Vector Machines with
graph-based features},
            type = {Working Paper},
            year = {2016},
     institution = {IMT Institute for Advanced Studies Lucca},
          author = {Rita Morisi and Giorgio Gnecco and Nico Lanconelli and Stefano Zanigni and David Neil Manners and Claudia Testa and Stefania Evangelisti and Laura Ludovica Gramegna and Claudio Bianchini and Pietro Cortelli and Caterina Tonon and Raffaele Lodi},
             url = {http://eprints.imtlucca.it/3145/}
}