IRIS

MORANDIN, Francesco

MORANDIN, Francesco  

Dipartimento di Scienze Matematiche, Fisiche e Informatiche  

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Titolo Data di pubblicazione Autore(i) File
A dyadic model on a tree 1-gen-2013 Barbato, David; Bianchi, Luigi Amedeo; Flandoli, Franco; Morandin, Francesco
A eutherian-specific microRNA controls the translation of Satb2 in a model of cortical differentiation 1-gen-2021 Martins, M.; Galfre, S.; Terrigno, M.; Pandolfini, L.; Appolloni, I.; Dunville, K.; Marranci, A.; Rizzo, M.; Mercatanti, A.; Poliseno, L.; Morandin, F.; Pietrosanto, M.; Helmer-Citterich, M.; Malatesta, P.; Vignali, R.; Cremisi, F.
A Large Deviation Principle for the free energy of random Gibbs measures with application to the REM 1-gen-2007 Fedrigo, M; Flandoli, F; Morandin, Francesco
A Resummed Branching Process Representation for a Class of Nonlinear ODEs 1-gen-2005 Morandin, Francesco
A theorem of uniqueness for an inviscid dyadic model 1-gen-2010 D., Barbato; F., Flandoli; Morandin, Francesco
Anomalous Dissipation in a Stochastic Inviscid Dyadic Model 1-gen-2011 D., Barbato; F., Flandoli; Morandin, Francesco
COTAN: scRNA-seq data analysis based on gene co-expression 1-gen-2021 Giulia Galfrè, Silvia; Morandin, Francesco; Pietrosanto, Marco; Cremisi, Federico; Helmer-Citterich, Manuela
Energy dissipation and self-similar solutions for an unforced inviscid dyadic model 1-gen-2011 D., Barbato; F., Flandoli; Morandin, Francesco
Global regularity for a logarithmically supercritical hyperdissipative dyadic equation 1-gen-2014 Barbato, David; Morandin, Francesco; Romito, Marco
Global regularity for a slightly supercritical hyperdissipative Navier–Stokes system 1-gen-2015 Barbato, David; Morandin, Francesco; Romito, Marco
GloNets: Globally Connected Neural Networks 1-gen-2024 Di Cecco, A.; Metta, C.; Fantozzi, M.; Morandin, F.; Parton, M.
Identification of hidden associations among eukaryotic genes through statistical analysis of coevolutionary transitions 1-gen-2023 Dembech, Elena; Malatesta, Marco; De Rito, Carlo; Mori, Giulia; Cavazzini, Davide; Secchi, Andrea; Morandin, Francesco; Percudani, Riccardo
Increasing biases can be more efficient than increasing weights 1-gen-2024 Metta, C.; Fantozzi, M.; Papini, A.; Amato, G.; Bergamaschi, M.; Galfre, S. G.; Marchetti, A.; Veglio, M.; Parton, M.; Morandin, F.
Linear Stochastic Dyadic Model 1-gen-2021 Bianchi, L. A.; Morandin, F.
Positive and non-positive solutions for an inviscid dyadic model: well-posedness and regularity 1-gen-2013 Barbato, David; Morandin, Francesco
Probabilità e Statistica per l'Ingegneria e le Scienze - Seconda Edizione 1-gen-2008 Ross, S.; Morandin, Francesco
Recurrence of prostate cancer after HIFU. Proposal of a novel predictive index 1-gen-2018 Maestroni, Umberto; Morandin, Francesco; Stefania, Ferretti; Dinale, Francesco; Ziglioli, Francesco
SAI a Sensible Artificial Intelligence that plays Go 1-gen-2019 Morandin, F.; Amato, G.; Gini, R.; Metta, C.; Parton, M.; Pascutto, G. -C.
SAI: A sensible artificial intelligence that plays with handicap and targets high scores in 9x9 Go 1-gen-2020 Morandin, F.; Amato, G.; Fantozzi, M.; Gini, R.; Metta, C.; Parton, M.
Score vs. Winrate in Score-Based Games: Which Reward for Reinforcement Learning? 1-gen-2022 Pasqualini, L.; Parton, M.; Morandin, F.; Amato, G.; Gini, R.; Metta, C.; Fantozzi, M.; Marchetti, A.