Classification-Biased Apparent Brain Age for the Prediction of Alzheimer's Disease

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

RAPIDSNPs: A new computational pipeline for rapidly identifying key genetic variants reveals previously unidentified SNPs that are significantly associated with individual platelet responses.

Autor: Bajuna Rashid Salehe, Chris Ian Jones, Giuseppe Di Fatta, Liam James McGuffin

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

Understanding Customer Satisfaction With Services by Leveraging Big Data: The Role of Services Attributes and Consumers’ Cultural Background

Autor: Marco Di Felice, Giuseppe Di Fatta, Marcello M. Mariani

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

Introduction to the Special Section on Research challenges and directions of Data Mining in Edge Computing systems (VSI-dmec)

Autor: Giuseppe Di Fatta, Teemu Leppänen, Claudio Savaglio

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05c09f5bc11a29caee4b8e85befe14ef

IoT Services Deployment over Edge vs Cloud Systems: a Simulation-based Analysis

Autor: Giuseppe Campisano, Giancarlo Fortino, Claudio Savaglio, Giuseppe Di Fatta

Publikováno v: INFOCOM Workshops
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS, pp. 554–559, 30/04/2019
info:cnr-pdr/source/autori:Savaglio, Claudio; Campisano, Giuseppe; Di Fatta, Giuseppe; Fortino, Giancarlo/congresso_nome:IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS/congresso_luogo:/congresso_data:30%2F04%2F2019/anno:2019/pagina_da:554/pagina_a:559/intervallo_pagine:554–559

The choice between an Edge- or Cloud-based deployment along with other factors like the unpredictable mobility of devices, the cyber-physicality of the scenario, and the wireless nature of communications, significantly impact the service provision of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25a9bcbaea921098576ee0d7cfe7dc4a
https://doi.org/10.1109/infcomw.2019.8845305