Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Ilaria Giordani"'
Publikováno v:
Mathematics, Vol 12, Iss 6, p 929 (2024)
Prompt optimization is a crucial task for improving the performance of large language models for downstream tasks. In this paper, a prompt is a sequence of n-grams selected from a vocabulary. Consequently, the aim is to select the optimal prompt conc
Externí odkaz:
https://doaj.org/article/d00fb6815b3c4831bf4fdc5de50134e9
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-17 (2021)
Abstract The issue of vulnerability and robustness in networks have been addressed by several methods. The goal is to identify which are the critical components (i.e., nodes/edges) whose failure impairs the functioning of the network and how much thi
Externí odkaz:
https://doaj.org/article/0624aab77ea543df96c56221f778fb8d
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2342 (2023)
This manuscript explores the problem of deploying sensors in networks to detect intrusions as effectively as possible. In water distribution networks, intrusions can cause a spread of contaminants over the whole network; we are searching for location
Externí odkaz:
https://doaj.org/article/0bcc6a02ba1947dea2fc55ddeda020ba
Publikováno v:
Annals of Vascular Surgery - Brief Reports and Innovations, Vol 1, Iss 2, Pp 100021- (2021)
Externí odkaz:
https://doaj.org/article/9cee934f7f734ac98ee6c4306b128643
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 4, p 138 (2022)
Large retail companies routinely gather huge amounts of customer data, which are to be analyzed at a low granularity. To enable this analysis, several Key Performance Indicators (KPIs), acquired for each customer through different channels are associ
Externí odkaz:
https://doaj.org/article/0930b037c35f417fa4faac4a189c1dc1
Autor:
Alessandro Mantovani, Giorgio Grani, Laura Chioma, Giuseppe Vancieri, Ilaria Giordani, Roberta Rendina, Maria Elena Rinaldi, Aikaterini Andreadi, Carmela Coccaro, Chiara Boccardo, Costanza Fraenza, Giuliano Bertazzoni, Alfonso Bellia, Giacomo Zoppini, Giovanni Targher, Marco Giorgio Baroni, Davide Lauro, Massimino D'Armiento, Enzo Bonora
Publikováno v:
Journal of Clinical & Translational Endocrinology, Vol 5, Iss C, Pp 46-52 (2016)
Aims: To describe the characteristics and associated risk factors of patients with established diabetes who required Emergency Department (ED) care for severe hypoglycemia. Methods: We performed an observational retrospective study to identify all ca
Externí odkaz:
https://doaj.org/article/5d095f2200144156b13fcd318000d9c8
Autor:
Simona Perga, Serena Martire, Francesca Montarolo, Ilaria Giordani, Michela Spadaro, Gabriele Bono, Stefania Corvisieri, Ilaria Messuti, Giancarlo Panzica, Fabio Orlandi, Antonio Bertolotto
Publikováno v:
Frontiers in Immunology, Vol 9 (2018)
Autoimmune diseases are a diverse group of chronic disorders and affect a multitude of organs and systems. However, the existence of common pathophysiological mechanisms is hypothesized and reports of shared risk are emerging as well. In this regard,
Externí odkaz:
https://doaj.org/article/b06c35d4197d41c892023bd134f7183e
Autor:
Paola Palazzo, Paola Maggio, Riccardo Altavilla, Alessandra Di Flaviani, Ilaria Giordani, Ilaria Malandrucco, Fabiana Picconi, Francesco Passarelli, Patrizio Pasqualetti, Matilde Ercolani, Fabrizio Vernieri, Simona Frontoni
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e83287 (2013)
ObjectiveImpaired cerebral vasomotor reactivity (VMR) and flow-mediated dilation (FMD) were found in selected subgroups of type 2 diabetes mellitus (T2DM) patients with long-term disease. Our study aimed to evaluate cerebral hemodynamics, systemic en
Externí odkaz:
https://doaj.org/article/85850b54969d4ff59e96108983542975
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 91:217-238
The key contribution of this paper is a theoretical framework to analyse humans’ decision-making strategies under uncertainty, and more specifically how human subjects manage the trade-off between information gathering (exploration) and reward seek
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd8c4bb5181a319fd612467fba5a9761
https://doi.org/10.1007/s10472-022-09807-0
https://doi.org/10.1007/s10472-022-09807-0
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
Metrics such as diversity and novelty have become important, beside accuracy, in the design of Recommender Systems (RSs), in response the increasing users' heterogeneity. Therefore, the design of RSs is now increasingly modelled as a multi-objective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43ff3e3401fb552dbc1456058d01d397
https://doi.org/10.1007/s12652-022-04356-0
https://doi.org/10.1007/s12652-022-04356-0