Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Nicolò Navarin"'
Autor:
Guido Zampieri, Dinh Van Tran, Michele Donini, Nicolò Navarin, Fabio Aiolli, Alessandro Sperduti, Giorgio Valle
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-12 (2018)
Abstract Background The uncovering of genes linked to human diseases is a pressing challenge in molecular biology and precision medicine. This task is often hindered by the large number of candidate genes and by the heterogeneity of the available inf
Externí odkaz:
https://doaj.org/article/b8970434175348f886d95d9418f68b86
Publikováno v:
Entropy, Vol 23, Iss 8, p 1047 (2021)
In many decision-making scenarios, ranging from recreational activities to healthcare and policing, the use of artificial intelligence coupled with the ability to learn from historical data is becoming ubiquitous. This widespread adoption of automate
Externí odkaz:
https://doaj.org/article/7e6b14c55845485b9126066f0975be1a
Publikováno v:
Expert Systems with Applications. 226:120131
Object-centric processes (a.k.a. Artifact-centric processes) are implementations of a paradigm where an instance of one process is not executed in isolation but interacts with other instances of the same or other processes. Interactions take place th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36f5f9475b9ce1160cfbe34435008229
https://hdl.handle.net/11577/3461207
https://hdl.handle.net/11577/3461207
Autor:
Riccardo Galanti, Massimiliano de Leoni, Merylin Monaro, Nicolò Navarin, Alan Marazzi, Brigida Di Stasi, Stéphanie Maldera
Predictive Process Analytics is becoming an essential aid for organizations, providing online operational support of their processes. However, process stakeholders need to be provided with an explanation of the reasons why a given process execution i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5fc990b7fbd127e0a5cbba15b6cf92c
http://arxiv.org/abs/2207.12782
http://arxiv.org/abs/2207.12782
Autor:
Nicolò Navarin, Laura Masiero, Pietro Pietrini, Merylin Monaro, Andrea Camperio Ciani, Stefano Ferracuti, Camilla Cavaliere, Giuseppe Sartori, Jessica Pezzaioli, Umberto Battaglia, Elena Bortolato, Cristina Scarpazza, Sarah Genon, Livio Finos
Publikováno v:
Brain Imaging and Behavior
Brain imaging and behavior 15, 2681–2692 (2021). doi:10.1007/s11682-020-00442-z
Brain imaging and behavior 15, 2681–2692 (2021). doi:10.1007/s11682-020-00442-z
ObjectivePedophilia is a disorder of public concern because of its association with child sexual offense and recidivism. Previous neuroimaging studies identified inconsistent brain abnormalities underlying pedophilic behavior both in idiopathic and a
Publikováno v:
Neurocomputing. 416:190-201
In this paper, we propose a general framework that, starting from the feature space of an existing base graph kernel, allows to define more expressive kernels which can learn more complex concepts, meanwhile generalizing different proposals in litera
In the last decades, research has claimed facial micro-expressions are a reliable means to detect deception. However, experimental results showed that trained and naive human judges observing facial micro-expressions can distinguish liars from truth-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::174e3b445cb397c213057d9ad7704e79
http://hdl.handle.net/11577/3404537
http://hdl.handle.net/11577/3404537
Publikováno v:
ESANN 2022 proceedings.
The central goal of Algorithmic Fairness is to develop AI-based systems which do not discriminate subgroups in the population with respect to one or multiple notions of inequity, knowing that data is often humanly biased. Researchers are racing to de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd95b356c0c23b375a715595f934486a
http://hdl.handle.net/11577/3440106
http://hdl.handle.net/11577/3440106