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Article

Gnecco, Giorgio and Morisi, Rita and Roth, Giorgio and Sanguineti, Marcello and Taramasso, Angela Celeste Supervised and semi-supervised classifiers for the detection of flood-prone areas. Soft Computing. A Fusion of Foundations, Methodologies and Applications. pp. 1-13. ISSN 1432-7643 (In Press) (2016)

Gnecco, Giorgio and Morisi, Rita and Bemporad, Alberto Sparse Solutions to the Average Consensus Problem via Various Regularizations of the Fastest Mixing Markov-Chain Problem. IEEE Transactions on Network Science and Engineering, 2 (3). pp. 97-111. ISSN 2327-4697 (2015)

Morisi, Rita and Donini, Bruno and Lanconelli, Nico and Rosengarden, James and Morgan, John and Harden, Stephen and Curzen, Nick Semi-automated scar detection in delayed enhanced cardiac magnetic resonance images. International Journal of Modern Physics C, 26 (01). p. 1550011. ISSN 0129-1831 (2015)

Rusu, Cristian and Morisi, Rita and Boschetto, Davide and Dharmakumar, Rohan and Tsaftaris, Sotirios A. Synthetic generation of myocardial blood–oxygen-level-dependent MRI time series via structural sparse decomposition modeling. IEEE Transactions on Medical Imaging, 33 (7). pp. 1422-1433. ISSN 0278-0062 (2014)

Book Section

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)

Gnecco, Giorgio and Morisi, Rita and Bemporad, Alberto Sparse solutions to the average consensus problem via L1-Norm regularization of the fastest mixing Markov-Chain problem. In: Proceedings of the 53rd Annual Conference on Decision and Control (CDC). IEEE, pp. 2228-2233. ISBN 978-1-4799-7746-8 (2014)

Lara, Laura and Vera, Sergio and Perez, Frederic and Lanconelli, Nico and Morisi, Rita and Donini, Bruno and Turco, Dario and Corsi, Cristiana and Lamberti, Claudio and Gavidia, Giovana and Bordone, Maurizio and Soudah, Eduardo and Curzen, Nick and Rosengarten, James and Morgan, John and Herrero, Javier and González Ballester, Miguel A. Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI. In: Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. Lecture Notes in Computer Science, 7746 . Springer, pp. 53-61. ISBN 978-3-642-36960-5 (2013)

Working Paper

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)

Conference or Workshop Item

Gramegna, Laura Ludovica and Testa, Claudia and Morisi, Rita and Zanigni, Stefano and Gnecco, Giorgio and Lanconelli, Nico and Manners, David Neil and Evangelisti, Stefania and Cortelli, Pietro and Tonon, Caterina and Lodi, Raffaele Binary and multi-class classification of parkinsonian disorders with support vector machines based on quantitative brain MR and graph-based features. In: ISMRM 2016 - Italian Chapter. Risonanza magnetica in medicina: dalla ricerca tecnologica avanzata alla pratica clinica, February 4-5, 2016, Bologna (2016)

Gnecco, Giorgio and Bemporad, Alberto and Gori, Marco and Morisi, Rita and Sanguineti, Marcello Online learning as an LQG optimal control problem with random matrices. In: 14th European Control Conference (ECC), July 15-17, 2015, Linz, Austria pp. 2482-2489. ISBN 978-3-9524269-3-7. (2015)

Degiorgis, Massimiliano and Gnecco, Giorgio and Gorni, Silvia and Morisi, Rita and Roth, Giorgio and Sanguineti, Marcello and Taramasso, Angela Celeste Evaluating flood hazard at the catchment scale via machine-learning techniques. In: 8th Winter Conference of the Italian Operational Research Society (AIRO Winter 2015), January 25-30, 2015, Champoluc, Italy (2015)