Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Alessandro BOGLIOLO"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss S4, Pp 1-18 (2024)
Abstract Background Clinical medicine offers a promising arena for applying Machine Learning (ML) models. However, despite numerous studies employing ML in medical data analysis, only a fraction have impacted clinical care. This article underscores t
Externí odkaz:
https://doaj.org/article/f6cf7ddc88dd44a38de98c32ec4dd37a
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-21 (2024)
Abstract Machine learning models are widely used in real-world applications. However, their complexity makes it often challenging to interpret the rationale behind their decisions. Counterfactual explanations (CEs) have emerged as a viable solution f
Externí odkaz:
https://doaj.org/article/80680d28ad9e4bebacaf29d39dd7dc8d
Autor:
Christel Sirocchi, Alessandro Bogliolo
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-21 (2022)
Abstract Gossip algorithms are message-passing schemes designed to compute averages and other global functions over networks through asynchronous and randomised pairwise interactions. Gossip-based protocols have drawn much attention for achieving rob
Externí odkaz:
https://doaj.org/article/0508f4ce52254a579599610199f1c55c
Publikováno v:
IEEE Access, Vol 10, Pp 1533-1544 (2022)
Lexical Similarity (LS) between two languages uncovers many interesting linguistic insights such as phylogenetic relationship, mutual intelligibility, common etymology, and loan words. There are various methods through which LS is evaluated. This pap
Externí odkaz:
https://doaj.org/article/05e7c98e162d4c328b2cc2044d401c9e
Publikováno v:
IEEE Access, Vol 10, Pp 72363-72372 (2022)
Artificial Intelligence can provide quite accurate predictions for critical applications (e.g., healthcare), but lacks the ability to explain its internal mechanism in most applications which require high interaction with humans. Even if many studies
Externí odkaz:
https://doaj.org/article/5493a95903fc4bbabe8f22a1fca10976
Publikováno v:
IEEE Access, Vol 10, Pp 54681-54696 (2022)
Mobile crowdsensing (MCS) is a well-established paradigm that leverages mobile devices’ ubiquitous nature and processing capabilities for large-scale data collection to monitor phenomena of common interest. Crowd-powered data collection is signific
Externí odkaz:
https://doaj.org/article/11d5251fc0e04d44b1e09f37af93e9a6
Autor:
Alessandro Bogliolo, Saverio Delpriori, Gian Marco Di Francesco, Lorenz Cuno Klopfenstein, Brendan Dominic Paolini
Publikováno v:
IEEE Access, Vol 9, Pp 165239-165251 (2021)
During the height of the CoViD-19 pandemic in 2020 and early 2021, schools throughout Europe have been closed for several months, leaving teachers with the responsibility of providing distance learning through video conferencing and remote-presence s
Externí odkaz:
https://doaj.org/article/3a8e02dbef204821bfde1f396300078c
Autor:
Emanuele Lattanzi, Valerio Freschi, Saverio Delpriori, Lorenz Cuno Klopfenstein, Alessandro Bogliolo
Publikováno v:
IEEE Access, Vol 8, Pp 96438-96448 (2020)
Assessment of balance by means of posturographic analysis is frequently used in the clinical practice for evaluating the risk of falls or as an indicator of balance-related disorders. The development of automatic, affordable and accurate systems for
Externí odkaz:
https://doaj.org/article/922fa809d390467dac8edc6294861323
Publikováno v:
IEEE Access, Vol 5, Pp 1146-1155 (2017)
The diffusion of mobile devices equipped with sensing, computation, and communication capabilities is opening unprecedented possibilities for high-resolution, spatio-temporal mapping of several phenomena. This novel data generation, collection, and p
Externí odkaz:
https://doaj.org/article/3de86773d8da4edbb87a356b6a4ab2d3
Autor:
Valerio Freschi, Alessandro Bogliolo
Publikováno v:
Evolutionary Bioinformatics, Vol 2012, Iss 8, Pp 171-180 (2012)
Externí odkaz:
https://doaj.org/article/1203d6793f1f4049a5058794e157d423