Zobrazeno 1 - 10
of 489
pro vyhledávání: '"Mongelli, P."'
Conformal predictions make it possible to define reliable and robust learning algorithms. But they are essentially a method for evaluating whether an algorithm is good enough to be used in practice. To define a reliable learning framework for classif
Externí odkaz:
http://arxiv.org/abs/2403.10368
Supervised classification recognizes patterns in the data to separate classes of behaviours. Canonical solutions contain misclassification errors that are intrinsic to the numerical approximating nature of machine learning. The data analyst may minim
Externí odkaz:
http://arxiv.org/abs/2309.04627
Everyday life is increasingly influenced by artificial intelligence, and there is no question that machine learning algorithms must be designed to be reliable and trustworthy for everyone. Specifically, computer scientists consider an artificial inte
Externí odkaz:
http://arxiv.org/abs/2309.01778
Autor:
Enrica Manca, Michele di Toma, Marianna Esotico, Lucia Soldano, Anna Nunzia Polito, Giuseppina Mongelli, Leonardo Guglielmi, Francesca Scaltrito, Angelo Campanozzi
Publikováno v:
Italian Journal of Pediatrics, Vol 50, Iss 1, Pp 1-9 (2024)
Abstract Background Multisystem Inflammatory Syndrome in Children (MIS-C) is a rare complication, which develops within 3–6 weeks after SARS-CoV2 infection. The coronavirus disease 2019 (COVID-19) vaccine was firstly introduced in adults and adoles
Externí odkaz:
https://doaj.org/article/a4ce1f88616148b2a9ed9a67264ff143
Out-of-distribution detection is one of the most critical issue in the deployment of machine learning. The data analyst must assure that data in operation should be compliant with the training phase as well as understand if the environment has change
Externí odkaz:
http://arxiv.org/abs/2303.01860
Autor:
Pesce F, Bruno GM, Colombo GL, Di Matteo S, Maurizi AR, Mongelli V, Mele S, Narici L, Bianchi S, Bonomini M, Castellano G, De Nicola L, Gambaro G, Grandaliano G, La Manna G, Pani A, Ranghino A, Gesualdo L
Publikováno v:
ClinicoEconomics and Outcomes Research, Vol Volume 16, Pp 547-555 (2024)
Francesco Pesce,1 Giacomo Matteo Bruno,2 Giorgio Lorenzo Colombo,2 Sergio Di Matteo,3 Anna Rita Maurizi,4 Valentina Mongelli,4 Silvia Mele,5 Lavinia Narici,5 Stefano Bianchi,6 Mario Bonomini,7 Giuseppe Castellano,8 Luca De Nicola,9 Giovanni Gambaro,1
Externí odkaz:
https://doaj.org/article/d31b52fe2da14255bb4b828ffcf55df4
Autor:
Mongelli, Maurizio, Scanzio, Stefano
Publikováno v:
IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 12, pp. 2872-2881, Dec. 2014
The paper addresses the problem of time offset synchronization in the presence of temperature variations, which lead to a non-Gaussian environment. In this context, regular Kalman filtering reveals to be suboptimal. A functional optimization approach
Externí odkaz:
http://arxiv.org/abs/2212.07138
Autor:
Mongelli, Maurizio, Scanzio, Stefano
Publikováno v:
Ad Hoc Networks, vol. 49, pp. 1-16, October 2016
The paper addresses state estimation for clock synchronization in the presence of factors affecting the quality of synchronization. Examples are temperature variations and delay asymmetry. These working conditions make synchronization a challenging p
Externí odkaz:
http://arxiv.org/abs/2212.03327
Autor:
Susana Leal, João Nascimento, Andriani Piki, Adem Tekerek, Alper Güzel, Ana Loureiro, Catarina Gonçalves, Inês Messias, Joke Simons, Lorenz Teunen, Luís C.S. Barradas, Naomi Palmer, Tito Livio Mongelli, Zlatko Nedelko, Sandra Oliveira
Publikováno v:
Cleaner and Responsible Consumption, Vol 14, Iss , Pp 100223- (2024)
Higher education institutions have a role to play in developing sustainability skills and changing students' attitudes and behaviour towards sustainability issues and the Sustainable Development Goals (SDGs). This article aims to explore the knowledg
Externí odkaz:
https://doaj.org/article/3fc60b8aa6a74cbfb9a5d3e73fa70a27
Autor:
Flaminia Sabbatini, Davide La Regina, Nicole Murgante Testa, Anna Maria Senatore, Andrea Saporito, Ramon Pini, Francesco Mongelli
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract Robotic-assisted treatment of ventral hernia offers many advantages, however, studies reported higher costs for robotic surgery compared to other surgical techniques. We aimed at comparing hospital costs in patients undergoing large ventral
Externí odkaz:
https://doaj.org/article/7de5414044844be684cc0d7471be4822