Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Marco Muselli"'
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
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:
Sensors, Vol 21, Iss 19, p 6526 (2021)
Edge Computing enables to perform measurement and cognitive decisions outside a central server by performing data storage, manipulation, and processing on the Internet of Things (IoT) node. Also, Artificial Intelligence (AI) and Machine Learning appl
Externí odkaz:
https://doaj.org/article/1432fa136da74869a3eae7e4ec7a0a17
Autor:
Ali Walid Daher, Ali Rizik, Andrea Randazzo, Emanuele Tavanti, Hussein Chible, Marco Muselli, Daniele D. Caviglia
Publikováno v:
Applied Sciences, Vol 10, Iss 24, p 9113 (2020)
Nowadays, cities can be perceived as increasingly dangerous places. Usually, CCTV is one of the main technologies used in a modern security system. However, poor light situations or bad weather conditions (rain, fog, etc.) limit the detection capabil
Externí odkaz:
https://doaj.org/article/6fb366a40eff485d8ee45832c9d0a2ae
Publikováno v:
IET Cyber-Physical Systems (2018)
The study deals with intelligible analytics for performance modelling of vehicle platooning. Knowledge extraction with rules is targeted to understand safety regions (collision avoidance) of system parameters. Results are shown by feeding data throug
Externí odkaz:
https://doaj.org/article/1ced1dab4986481789f1a76080330f00
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::a723ea22b34fb1bffd3cac9d0d0342ea
Publikováno v:
Computing. 104:2453-2487
Machine learning techniques aim to mimic the human ability to automatically learn how to perform tasks through training examples. They have proven capable of tasks such as prediction, learning and adaptation based on experience and can be used in vir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ce1956427a78eca51cefbc6691d4be1
https://doi.org/10.1007/s00607-022-01096-z
https://doi.org/10.1007/s00607-022-01096-z