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Items where Author is "Bianchini, Claudio"

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Number of items: 24.

Bi

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

Co

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

Ev

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

Gn

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

Gr

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

La

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

Lo

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

Ma

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

Mo

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

Te

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

To

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

Za

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)

Morisi, Rita and Gnecco, Giorgio and Lanconelli, Nico and Zanigni, Stefano and Manners, David Neil and Testa, Claudia and Evangelisti, Stefania and Gramegna, LauraLudovica and Bianchini, Claudio and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines. In: Pattern Recognition and Image Analysis. Lecture Notes in Computer Science, 9117 . Springer, pp. 379-386. ISBN 978-3-319-19389-2 (2015)

This list was generated on Tue Sep 28 20:34:03 2021 CEST.