Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Giuseppe Di Fatta"'
Publikováno v:
IEEE Access, Vol 7, Pp 8195-8208 (2019)
User-generated content and online reviews (ORs) are becoming an increasingly relevant source of information for online customers who use them for purchasing decisions. This paper examines the impact of services attributes and consumers’ cultural ba
Externí odkaz:
https://doaj.org/article/e1ff898a5bfb49a8a42722a0224757fd
Autor:
Ali Varzandian, Miguel Angel Sanchez Razo, Michael Richard Sanders, Akhila Atmakuru, Giuseppe Di Fatta
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Machine Learning methods are often adopted to infer useful biomarkers for the early diagnosis of many neurodegenerative diseases and, in general, of neuroanatomical ageing. Some of these methods estimate the subject age from morphological brain data,
Externí odkaz:
https://doaj.org/article/35bc49b9559044c397f87589afb5ad23
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0175957 (2017)
Advances in omics technologies have led to the discovery of genetic markers, or single nucleotide polymorphisms (SNPs), that are associated with particular diseases or complex traits. Although there have been significant improvements in the approache
Externí odkaz:
https://doaj.org/article/b7fd7b59282e4fe999814b333bf8aaf4
Autor:
Matteo N. Amaradio, Giorgio Jansen, Varun Ojha, Jole Costanza, Giuseppe Di Fatta, Giuseppe Nicosia
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783031255984
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9de3a88245ba018b9b4104ac6f89eb0e
https://doi.org/10.1007/978-3-031-25599-1_43
https://doi.org/10.1007/978-3-031-25599-1_43
Publikováno v:
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3ee4281d75dff71e696a26f90d6bad3
https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927759
https://doi.org/10.1109/dasc/picom/cbdcom/cy55231.2022.9927759
Publikováno v:
IEEE Access. 7:8195-8208
User-generated content and online reviews are becoming an increasingly relevant source of\ud information for online customers that use them for purchasing decisions. This study examines the impact\ud of services attributes and consumers’ cultural b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7855b2be735df20ba6e4a8303f3021d
https://doi.org/10.1109/access.2018.2887300
https://doi.org/10.1109/access.2018.2887300
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030954697
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c22d1901067e467fe5adf66ffde7519
http://hdl.handle.net/20.500.11769/521704
http://hdl.handle.net/20.500.11769/521704
Publikováno v:
Computers & electrical engineering
96 (2021). doi:10.1016/j.compeleceng.2021.107562
info:cnr-pdr/source/autori:Savaglio, Claudio; Leppänen, Teemu; Di Fatta, Giuseppe/titolo:Introduction to the Special Section on Research challenges and directions of Data Mining in Edge Computing systems (VSI-dmec)/doi:10.1016%2Fj.compeleceng.2021.107562/rivista:Computers & electrical engineering (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:96
96 (2021). doi:10.1016/j.compeleceng.2021.107562
info:cnr-pdr/source/autori:Savaglio, Claudio; Leppänen, Teemu; Di Fatta, Giuseppe/titolo:Introduction to the Special Section on Research challenges and directions of Data Mining in Edge Computing systems (VSI-dmec)/doi:10.1016%2Fj.compeleceng.2021.107562/rivista:Computers & electrical engineering (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:96
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05c09f5bc11a29caee4b8e85befe14ef
Autor:
Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton
This two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intellig
Autor:
Victor S. Sheng, Giuseppe Di Fatta
Publikováno v:
2020 International Conference on Data Mining Workshops (ICDMW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcef8500173330de578a7b180810b642
https://doi.org/10.1109/icdmw51313.2020.00007
https://doi.org/10.1109/icdmw51313.2020.00007