Zobrazeno 1 - 10
of 777
pro vyhledávání: '"Scagnetto, A."'
We show that the principal types of the closed terms of the affine fragment of $\lambda$-calculus, with respect to a simple type discipline, are structurally isomorphic to their interpretations, as partial involutions, in a natural Geometry of Intera
Externí odkaz:
http://arxiv.org/abs/2402.07230
Statistical methods to study the association between a longitudinal biomarker and the risk of death are very relevant for the long-term care of subjects affected by chronic illnesses, such as potassium in heart failure patients. Particularly in the p
Externí odkaz:
http://arxiv.org/abs/2204.05870
Autor:
Scagnetto, A., Barbati, G., Gandin, I., Cappelletto, C., Baj, G., Cazzaniga, A., Cuturello, F., Ansuini, A., Bortolussi, L., Di Lenarda, A.
Atrial Fibrillation (AF) is a heart's arrhythmia which, despite being often asymptomatic, represents an important risk factor for stroke, therefore being able to predict AF at the electrocardiogram exam, would be of great impact on actively targeting
Externí odkaz:
http://arxiv.org/abs/2202.05676
Autor:
Gregorio, Caterina, Rea, Federico, Ieva, Francesca, Scagnetto, Arjuna, Indennidate, Carla, Cappelletto, Chiara, Di Lenarda, Andrea, Barbati, Giulia
Publikováno v:
In Value in Health July 2024 27(7):897-906
Autor:
Cecchinato, Niccolò1 (AUTHOR), Scagnetto, Ivan1 (AUTHOR) ivan.scagnetto@uniud.it, Toma, Andrea1 (AUTHOR), Drioli, Carlo1 (AUTHOR), Foresti, Gian Luca1 (AUTHOR)
Publikováno v:
Integrated Computer-Aided Engineering. 2024, Vol. 31 Issue 1, p59-75. 17p.
Autor:
Giovanni Baj, Ilaria Gandin, Arjuna Scagnetto, Luca Bortolussi, Chiara Cappelletto, Andrea Di Lenarda, Giulia Barbati
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Machine learning (ML) methods to build prediction models starting from electrocardiogram (ECG) signals are an emerging research field. The aim of the present study is to investigate the performances of two ML approaches based on E
Externí odkaz:
https://doaj.org/article/d7277f21e217425aae381c97b0abf166
Autor:
Giulia Barbati, Caterina Gregorio, Arjuna Scagnetto, Carla Indennidate, Chiara Cappelletto, Andrea Di Lenarda
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0309470 (2024)
Low-Density Lipoprotein (LDL) cholesterol is one of the main target for cardiovascular (CV) prevention and therapy. In the last years, Proprotein Convertase Subtilisin-Kexin type 9 inhibitors (PCSK9-i) has emerged as a key therapeutic target to lower
Externí odkaz:
https://doaj.org/article/0edbc88617fa4bdaabf660df58faa2b0
Autor:
Angelo Odetti, Gabriele Bruzzone, Roberta Ferretti, Simona Aracri, Federico Carotenuto, Carolina Vagnoli, Alessandro Zaldei, Ivan Scagnetto
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1998 (2024)
This article introduces the Lake Environmental Data Harvester (LED) System, a robotic platform designed for the development of an innovative solution for monitoring remote alpine lakes. LED is intended as the first step in creating portable robotic t
Externí odkaz:
https://doaj.org/article/2065f6664a104bab86316e373dfbb8ee
Autor:
Marco De Piante, Michele Midrio, Roberto Rinaldo, Ivan Scagnetto, Ruben Specogna, Francesco Trevisan
Publikováno v:
Sensors, Vol 24, Iss 8, p 2582 (2024)
This paper focuses on the characterization of radio propagation, and data communication in a marine environment. More specifically, we consider signal propagation when three different sub-gigahertz industrial, scientific, and medical (ISM) bands, i.e
Externí odkaz:
https://doaj.org/article/cc8e695fcd5048698ca4d8761ee75e4b
Proceedings of the Fourteenth Workshop on Logical Frameworks and Meta-Languages: Theory and Practice
Autor:
Miller, Dale, Scagnetto, Ivan
Publikováno v:
EPTCS 307, 2019
This volume contains a selection of papers presented at LFMTP 2019, the 14th International Workshop on Logical Frameworks and Meta-Languages: Theory and Practice (LFMTP), held on June 22, 2019, in Vancouver, Canada. The workshop was affiliated with t
Externí odkaz:
http://arxiv.org/abs/1910.08712