Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Damiano Verda"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 2049-2073 (2024)
Explainable Artificial Intelligence (XAI) is a research area that clarifies AI decision-making processes to build user trust and promote responsible AI. Hence, a key scientific challenge in XAI is the development of methods that generate transparent
Externí odkaz:
https://doaj.org/article/649ade1d712b48b79b5424817e2249d5
Publikováno v:
Risk Management Magazine, Vol 19, Iss 1, Pp 26-49 (2024)
This study explores an innovative approach to portfolio optimization, bridging traditional Modern Portfolio Theory (MPT) with advanced Machine Learning techniques. We start by recognizing the significance of Markowitz's model in MPT and quickly proce
Externí odkaz:
https://doaj.org/article/b1e4a1ca608b40719e5f7788b5301042
Autor:
Musacchio Nicoletta, Rita Zilich, Davide Masi, Fabio Baccetti, Besmir Nreu, Carlo Bruno Giorda, Giacomo Guaita, Lelio Morviducci, Marco Muselli, Alessandro Ozzello, Federico Pisani, Paola Ponzani, Antonio Rossi, Pierluigi Santin, Damiano Verda, Graziano Di Cianni, Riccardo Candido
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 1, Pp 420-434 (2024)
Background: International guidelines for diabetes care emphasize the urgency of promptly achieving and sustaining adequate glycemic control to reduce the occurrence of micro/macrovascular complications in patients with type 2 diabetes mellitus (T2DM)
Externí odkaz:
https://doaj.org/article/44633c7022aa45af97d3ca10f733b6ca
Autor:
Alessio Gerussi, Miki Scaravaglio, Laura Cristoferi, Damiano Verda, Chiara Milani, Elisabetta De Bernardi, Davide Ippolito, Rosanna Asselta, Pietro Invernizzi, Jakob Nikolas Kather, Marco Carbone
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Autoimmune liver diseases (AiLDs) are rare autoimmune conditions of the liver and the biliary tree with unknown etiology and limited treatment options. AiLDs are inherently characterized by a high degree of complexity, which poses great challenges in
Externí odkaz:
https://doaj.org/article/c533a0d4e36848b88de0c04b489c16c6
Publikováno v:
Epidemiology and Health, Vol 44 (2022)
OBJECTIVES The area under a receiver operating characteristic (ROC) curve (AUC) is a popular measure of pure diagnostic accuracy that is independent from the proportion of diseased subjects in the analysed sample. However, its actual usefulness in th
Externí odkaz:
https://doaj.org/article/e82f12f8150049dca2ce179b4ed19bb5
Publikováno v:
Computers, Vol 12, Iss 6, p 123 (2023)
Optimizing water distribution both from an energy-saving perspective and from a quality of service perspective is a challenging task since it involves a complex system with many nodes, many hidden variables and many operational constraints. For this
Externí odkaz:
https://doaj.org/article/93970e7466d34a529840205b86f57b92
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S9, Pp 1-13 (2019)
Abstract Background Logic Learning Machine (LLM) is an innovative method of supervised analysis capable of constructing models based on simple and intelligible rules. In this investigation the performance of LLM in classifying patients with cancer wa
Externí odkaz:
https://doaj.org/article/6429674bd13446bca0efff70bd2bab4e
Publikováno v:
Computers; Volume 12; Issue 6; Pages: 123
Optimizing water distribution both from an energy-saving perspective and from a quality of service perspective is a challenging task since it involves a complex system with many nodes, many hidden variables and many operational constraints. For this
Autor:
Musacchio, Davide Masi, Rita Zilich, Riccardo Candido, Annalisa Giancaterini, Giacomo Guaita, Marco Muselli, Paola Ponzani, Pierluigi Santin, Damiano Verda, Nicoletta
Publikováno v:
Journal of Clinical Medicine; Volume 12; Issue 12; Pages: 4095
Identifying and treating lipid abnormalities is crucial for preventing cardiovascular disease in diabetic patients, yet only two-thirds of patients reach recommended cholesterol levels. Elucidating the factors associated with lipid goal attainment re
Autor:
Davide Masi, Rita Zilich, Riccardo Candido, Giacomo Guaita, Marco Muselli, Paola Ponzani, Pierluigi Santin, Damiano Verda, Nicoletta Musacchio
Publikováno v:
Endocrine Abstracts.