Zobrazeno 1 - 10
of 3 877
pro vyhledávání: '"Forgione A"'
Autor:
Roberto Cangemi, Valeria Raparelli, Giovanni Talerico, Stefania Basili, Francesco Violi, Palasciano Giuseppe, D’Alitto Felicia, Palmieri Vincenzo Ostilio, Santovito Daniela, Di Michele Dario, Croce Giuseppe, Sacerdoti David, Brocco Silvia, Fasolato Silvano, Cecchetto Lara, Bombonato Giancarlo, Bertoni Michele, Restuccia Tea, Andreozzi Paola, Liguori Maria Livia, Perticone Francesco, Caroleo Benedetto, Perticone Maria, Staltari Orietta, Manfredini Roberto, De Giorgi Alfredo, Averna Maurizio, Giammanco Antonina, Granito Alessandro, Pettinari Irene, Marinelli Sara, Bolondi Luigi, Falsetti Lorenzo, Salvi Aldo, Durante-Mangoni Emanuele, Cesaro Flavio, Farinaro Vincenza, Ragone Enrico, Morana Ignazio, Andriulli Angelo, Ippolito Antonio, Iacobellis Angelo, Niro Grazia, Merla Antonio, Raimondo Giovanni, Maimone Sergio, Cacciola Irene, Varvara Doriana, Drenaggi Davide, Staffolani Silvia, Picardi Antonio, Vespasiani-Gentilucci Umberto, Galati Giovanni, Gallo Paolo, Davì Giovanni, Schiavone Cosima, Santilli Francesca, Tana Claudio, Licata Anna, Soresi Maurizio, Bianchi Giovanni Battista, Carderi Isabella, Pinto Antonio, Tuttolomondo Antonino, Ferrari Giovanni, Gresele Paolo, Fierro Tiziana, Morelli Olivia, Laffi Giacomo, Romanelli Roberto Giulio, Arena Umberto, Stasi Cristina, Gasbarrini Antonio, Gargovich Matteo, Zocco Maria Assunta, Riccardi Laura, Ainora Maria Elena, Capeci William, Martino Giuseppe Pio, Nobili Lorenzo, Cavallo Maurizio, Frugiuele Pierluigi, Greco Antonio, Pietrangelo Antonello, Ventura Paolo, Cuoghi Chiara, Marcacci Matteo, Serviddio Gaetano, Vendemiale Gianluigi, Villani Rosanna, Gargano Ruggiero, Vidili Gianpaolo, Di Cesare Valentina, Masala Maristella, Delitala Giuseppe, Invernizzi Pietro, Di Minno Giovanni, Tufano Antonella, Purrello Francesco, Privitera Graziella, Forgione Alessandra, Curigliano Valentina, Senzolo Marco, Rodríguez-Castro Kryssia Isabel, Giannelli Gianluigi, Serra Carla, Neri Sergio, Pignataro Pietro, Rizzetto Mario, Debernardi Venon Wilma, Svegliati Baroni Gianluca, Bergamaschi Gaetano, Masotti Michela, Costanzo Filippo, Corazza Gino Roberto, Caldwell Stephen Hugh, Angelico Francesco, Del Ben Maria, Napoleone Laura, Polimeni Licia, Proietti Marco, Raparelli Valeria, Romiti Giulio Francesco, Ruscio Eleonora, Severoni Andrea, Talerico Giovanni, Toriello Filippo, Vestri Annarita
Publikováno v:
Gastro Hep Advances, Vol 3, Iss 5, Pp 646-653 (2024)
Background and Aims: Hypoalbuminemia, as defined by serum albumin (SA) levels ≤35 g/L, is associated to venous and arterial thrombosis in general population and in patients at risk of cardiovascular disease. It is unknown if SA ≤35 g/L is also as
Externí odkaz:
https://doaj.org/article/178a1a7c8e1047f2ac0da978dac4c2b4
Autor:
Burgio V, Iavarone M, Di Costanzo GG, Marra F, Lonardi S, Tamburini E, Piscaglia F, Masi G, Celsa C, Foschi FG, Silletta M, Amoruso DC, Rimini M, Bruccoleri M, Tortora R, Campani C, Soldà C, Viola MG, Forgione A, Conti F, Salani F, Catanese S, Giacchetto CM, Fulgenzi C, Coppola C, Lampertico P, Pellino A, Rancatore G, Cabibbo G, Ratti F, Pedica F, Della Corte A, Colombo M, De Cobelli F, Aldrighetti L, Cascinu S, Casadei-Gardini A
Publikováno v:
Cancer Management and Research, Vol Volume 13, Pp 9379-9389 (2021)
Valentina Burgio,1 Massimo Iavarone,2 Giovanni Giuseppe Di Costanzo,3 Fabio Marra,4 Sara Lonardi,5,6 Emiliano Tamburini,7 Fabio Piscaglia,8 Gianluca Masi,9,10 Ciro Celsa,11 Francesco Giuseppe Foschi,12 Marianna Silletta,13 Daniela Caterina Amoruso,14
Externí odkaz:
https://doaj.org/article/d67257cd6b204d2b8db488af802f77d2
Recently introduced by some of the authors, the in-context identification paradigm aims at estimating, offline and based on synthetic data, a meta-model that describes the behavior of a whole class of systems. Once trained, this meta-model is fed wit
Externí odkaz:
http://arxiv.org/abs/2410.03291
Autor:
Bazzi, Manuel Bianchi, Shahid, Asad Ali, Agia, Christopher, Alora, John, Forgione, Marco, Piga, Dario, Braghin, Francesco, Pavone, Marco, Roveda, Loris
The landscape of Deep Learning has experienced a major shift with the pervasive adoption of Transformer-based architectures, particularly in Natural Language Processing (NLP). Novel avenues for physical applications, such as solving Partial Different
Externí odkaz:
http://arxiv.org/abs/2409.11815
With a specific emphasis on control design objectives, achieving accurate system modeling with limited complexity is crucial in parametric system identification. The recently introduced deep structured state-space models (SSM), which feature linear d
Externí odkaz:
http://arxiv.org/abs/2403.14833
This paper addresses the challenge of overfitting in the learning of dynamical systems by introducing a novel approach for the generation of synthetic data, aimed at enhancing model generalization and robustness in scenarios characterized by data sca
Externí odkaz:
http://arxiv.org/abs/2403.05164
In-context system identification aims at constructing meta-models to describe classes of systems, differently from traditional approaches that model single systems. This paradigm facilitates the leveraging of knowledge acquired from observing the beh
Externí odkaz:
http://arxiv.org/abs/2312.04083
State estimation has a pivotal role in several applications, including but not limited to advanced control design. Especially when dealing with nonlinear systems state estimation is a nontrivial task, often entailing approximations and challenging fi
Externí odkaz:
http://arxiv.org/abs/2312.04509
Is it possible to understand the intricacies of a dynamical system not solely from its input/output pattern, but also by observing the behavior of other systems within the same class? This central question drives the study presented in this paper. In
Externí odkaz:
http://arxiv.org/abs/2308.13380
Autor:
Forgione, Marco, Piga, Dario
Effective quantification of uncertainty is an essential and still missing step towards a greater adoption of deep-learning approaches in different applications, including mission-critical ones. In particular, investigations on the predictive uncertai
Externí odkaz:
http://arxiv.org/abs/2304.06349