BECCUTI, Marco

BECCUTI, Marco  

INFORMATICA  

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Risultati 1 - 20 di 140 (tempo di esecuzione: 0.053 secondi).
Titolo Data di pubblicazione Autore(i) File
(Stochastic) Model Checking in GreatSPN 2014 E. Amparore;M. Beccuti;S. Donatelli
30 Years of GreatSPN 2016 Elvio G, Amparore; Gianfranco, Balbo; Marco, Beccuti; Susanna, Donatelli; Giuliana, Franceschinis
A computational analysis of S-(2-succino)cysteine sites in proteins 2016 Miglio, Gianluca; Sabatino, Alessandro Damiano; Veglia, Eleonora; Giraudo, Maria Teresa; Beccuti, Marco; Cordero, Francesca
A computational approach based on the colored Petri net formalism for studying multiple sclerosis 2019 Pernice S.; Pennisi M.; Romano G.; Maglione A.; Cutrupi S.; Pappalardo F.; Balbo G.; Beccuti M.; Cordero F.; Calogero R.A.
A computational framework for modeling and studying pertussis epidemiology and vaccination 2020 Castagno P.; Pernice S.; Ghetti G.; Povero M.; Pradelli L.; Paolotti D.; Balbo G.; Sereno M.; Beccuti M.
A framework to design and solve Markov Decision Well-formed Net models 2007 M. Beccuti; D. Codetta-Raiter; G. Franceschinis; S. Haddad
A mathematical model to study breast cancer growth 2017 Chivassa, G; Fornari, C; Sirovich, R; Pennisi, M; Beccuti, M; Cordero, F
A mathematical-biological joint effort to investigate the tumor-initiating ability of cancer stem cells. 2014 Fornari C;Beccuti M;Lanzardo S;Conti L;Balbo G;Cavallo F;Calogero RA;Cordero F
A Mean Field Based Methodology for Modeling Mobility in Ad Hoc Networks 2011 Beccuti Marco ; De Pierro Massimiliano; Horváth András ; Horváth Ádám ; Farkas Károly
A new computational workflow to guide personalized drug therapy 2023 Pernice, Simone; Maglione, Alessandro; Tortarolo, Dora; Sirovich, Roberta; Clerico, Marinella; Rolla, Simona; Beccuti, Marco; Cordero, Francesca
A new symbolic approach for network reliability analysis 2012 Marco Beccuti; Andrea Bobbio;Giuliana Franceschinis;Roberta Terruggia
A new symbolic approach for network reliability analysis. 2011 M. Beccuti; S. Donatelli; G. Franceschinis; R. Terruggia
A novel machine-learning framework based on early embryo morphokinetics identifies a feature signature associated with blastocyst development 2024 Canosa, S.; Licheri, N.; Bergandi, L.; Gennarelli, G.; Paschero, C.; Beccuti, M.; Cimadomo, D.; Coticchio, G.; Rienzi, L.; Benedetto, C.; Cordero, F.; Revelli, A.
A Petri net formalism to study systems at different scales exploiting agent-based and stochastic simulations. 2021 Beccuti, M., Castagno, P., Franceschinis, G., Pennisi, M., Pernice, S.
A physical, genetic and functional sequence assembly of the barley genome. 2012 Mayer KF; Waugh R; Langridge P; Close TJ; Wise RP; Graner A; Matsumoto T; Sato K; Schulman A; Muehlbauer GJ; Stein N; Ariyadasa R; Schulte D; Poursarebani N; Zhou R; Steuernagel B; Mascher M; Scholz U; Shi B; Langridge P; Madishetty K; Svensson JT; Bhat P; Moscou M; Resnik J; Close TJ; Muehlbauer GJ; Hedley P; Liu H; Morris J; Waugh R; Frenkel Z; Korol A; Bergès H; Graner A; Stein N; Steuernagel B; Scholz U; Taudien S; Felder M; Groth M; Platzer M; Stein N; Steuernagel B; Scholz U; Himmelbach A; Taudien S; Felder M; Platzer M; Lonardi S; Duma D; Alpert M; Cordero F; Beccuti M; Ciardo G; Ma Y; Wanamaker S; Close TJ; Stein N; Cattonaro F; Vendramin V; Scalabrin S; Radovic S; Wing R; Schulte D; Steuernagel B; Morgante M; Stein N; Waugh R; Nussbaumer T; Gundlach H; Martis M; Ariyadasa R; Poursarebani N; Steuernagel B; Scholz U; Wise RP; Poland J; Stein N; Mayer KF; Spannagl M; Pfeifer M; Gundlach H; Mayer KF; Gundlach H; Moisy C; Tanskanen J; Scalabrin S; Zuccolo A; Vendramin V; Morgante M; Mayer KF; Schulman A; Pfeifer M; Spannagl M; Hedley P; Morris J; Russell J; Druka A; Marshall D; Bayer M; Swarbreck D; Sampath D; Ayling S; Febrer M; Caccamo M; Matsumoto T; Tanaka T; Sato K; Wise RP; Close TJ; Wannamaker S; Muehlbauer GJ; Stein N; Mayer KF; Waugh R; Steuernagel B; Schmutzer T; Mascher M; Scholz U; Taudien S; Platzer M; Sato K; Marshall D; Bayer M; Waugh R; Stein N; Mayer KF; Waugh R; Brown JW; Schulman A; Langridge P; Platzer M; Fincher GB; Muehlbauer GJ; Sato K; Close TJ; Wise RP; Stein N.
A review of the deterministic and diffusion approximations for stochastic chemical reaction networks 2018 Mozgunov, Pavel; Beccuti, Marco; Horvath, Andras; Jaki, Thomas; Sirovich, Roberta; Bibbona, Enrico*
A single cell RNAseq benchmark experiment embedding "controlled" cancer heterogeneity 2024 Arigoni, Maddalena; Ratto, Maria Luisa; Riccardo, Federica; Balmas, Elisa; Calogero, Lorenzo; Cordero, Francesca; Beccuti, Marco; Calogero, Raffaele A; Alessandri, Luca
A Tool for the Automatic Derivation of Symbolic ODE from Symmetric Net Models 2019 Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Laura Follia, Simone Pernice
A versatile mathematical work-flow to explore how Cancer Stem Cell fate influences tumor progression 2015 Fornari, Chiara; Balbo, Gianfranco; Halawani, Sami M; Ba-Rukab, Omar; Ahmad, Ab; Calogero, Raffaele A; Cordero, Francesca; Beccuti, Marco
Adaptive artificial co-pilot as enabler for autonomous vehicles and intelligent transportation systems 2018 Amparore E.G.; Beccuti M.; Botta M.; Donatelli S.; Tango F.