Zobrazeno 1 - 10
of 8 709
pro vyhledávání: '"Mussi, A."'
Autor:
Genalti, Gianmarco, Mussi, Marco, Gatti, Nicola, Restelli, Marcello, Castiglioni, Matteo, Metelli, Alberto Maria
Rested and Restless Bandits are two well-known bandit settings that are useful to model real-world sequential decision-making problems in which the expected reward of an arm evolves over time due to the actions we perform or due to the nature. In thi
Externí odkaz:
http://arxiv.org/abs/2409.05980
The increase of renewable energy generation towards the zero-emission target is making the problem of controlling power grids more and more challenging. The recent series of competitions Learning To Run a Power Network (L2RPN) have encouraged the use
Externí odkaz:
http://arxiv.org/abs/2409.04467
Constrained Reinforcement Learning (CRL) tackles sequential decision-making problems where agents are required to achieve goals by maximizing the expected return while meeting domain-specific constraints, which are often formulated as expected costs.
Externí odkaz:
http://arxiv.org/abs/2407.10775
We consider Kernelized Bandits (KBs) to optimize a function $f : \mathcal{X} \rightarrow [0,1]$ belonging to the Reproducing Kernel Hilbert Space (RKHS) $\mathcal{H}_k$. Mainstream works on kernelized bandits focus on a subgaussian noise model in whi
Externí odkaz:
http://arxiv.org/abs/2407.06321
Policy gradient (PG) methods are successful approaches to deal with continuous reinforcement learning (RL) problems. They learn stochastic parametric (hyper)policies by either exploring in the space of actions or in the space of parameters. Stochasti
Externí odkaz:
http://arxiv.org/abs/2405.02235
Autor:
Mattjie, Christian, de Moura, Luis Vinicius, Ravazio, Rafaela Cappelari, Kupssinskü, Lucas Silveira, Parraga, Otávio, Delucis, Marcelo Mussi, Barros, Rodrigo Coelho
Segmentation in medical imaging is a critical component for the diagnosis, monitoring, and treatment of various diseases and medical conditions. Presently, the medical segmentation landscape is dominated by numerous specialized deep learning models,
Externí odkaz:
http://arxiv.org/abs/2305.00109
Autor:
V. Mussi, F. A. Bovino, R. Falsini, D. Daloiso, F. V. Lupo, R. Kunjumon, R. Li Voti, T. Cesca, R. Macaluso, C. Sibilia, G. Mattei
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Vanadium dioxide has attracted much interest due to the drastic change of the electrical and optical properties it exhibits during the transition from the semiconductor state to the metallic state, which takes place at a critical temperature
Externí odkaz:
https://doaj.org/article/1152d060dcd94a1e8b83b605d34c376c
Autor:
Marco Bertelli, Gianfranco Sfuncia, Sara De Simone, Adriano Diaz Fattorini, Sabrina Calvi, Valentina Mussi, Fabrizio Arciprete, Antonio M. Mio, Raffaella Calarco, Massimo Longo
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Matching of various chalcogenide films shows the advantage of delivering multilayer heterostructures whose physical properties can be tuned with respect to the ones of the constituent single films. In this work, (Ge–Sb–Te)-based heterost
Externí odkaz:
https://doaj.org/article/8d83fd7c211840b59a75807f2151fb86
Autor:
Francesco Murgolo, Domenico L. Grieco, Savino Spadaro, Nicola Bartolomeo, Rossella di Mussi, Luigi Pisani, Marco Fiorentino, Alberto Maria Crovace, Luca Lacitignola, Francesco Staffieri, Salvatore Grasso
Publikováno v:
Annals of Intensive Care, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Background The recruitment-to-inflation ratio (R/I) has been recently proposed to bedside assess response to PEEP. The impact of PEEP on ventilator-induced lung injury depends on the extent of dynamic strain reduction. We hypothesized that R
Externí odkaz:
https://doaj.org/article/b65b2db307014f2a83bcc02e04e203aa
Autor:
Lancia, Giacomo, Durastanti, Claudio, Spitoni, Cristian, De Benedictis, Ilaria, Sciortino, Antonio, Cirillo, Emilio N. M., Ledda, Mario, Lisi, Antonella, Convertino, Annalisa, Mussi, Valentina
An early detection of different tumor subtypes is crucial for an effective guidance to personalized therapy. While much efforts focus on decoding the sequence of DNA basis to detect the genetic mutations related to cancer, it is becoming clear that p
Externí odkaz:
http://arxiv.org/abs/2302.08918