Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Sonia Bergamaschi"'
Autor:
Cinzia Bettio, Valentina Salsi, Mirko Orsini, Enrico Calanchi, Luca Magnotta, Luca Gagliardelli, June Kinoshita, Sonia Bergamaschi, Rossella Tupler
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 16, Iss 1, Pp 1-13 (2021)
Abstract Background The Italian Clinical network for FSHD (ICNF) has established the Italian National Registry for FSHD (INRF), collecting data from patients affected by Facioscapulohumeral dystrophy (FSHD) and their relatives. The INRF has gathered
Externí odkaz:
https://doaj.org/article/f2cc7c6cc1104d04a0dd2afdd0dacf6e
Autor:
Sonia Bergamaschi, Stefania De Nardis, Riccardo Martoglia, Federico Ruozzi, Luca Sala, Matteo Vanzini, Riccardo Amerigo Vigliermo
Publikováno v:
Sensors, Vol 22, Iss 11, p 3995 (2022)
The linguistic and social impact of multiculturalism can no longer be neglected in any sector, creating the urgent need of creating systems and procedures for managing and sharing cultural heritages in both supranational and multi-literate contexts.
Externí odkaz:
https://doaj.org/article/1bd8177674dd45948239ee94966395fb
Autor:
Sonia Bergamaschi, Emanuele Carlini, Michelangelo Ceci, Barbara Furletti, Fosca Giannotti, Donato Malerba, Mario Mezzanzanica, Anna Monreale, Gabriella Pasi, Dino Pedreschi, Raffele Perego, Salvatore Ruggieri
Publikováno v:
Engineering, Vol 2, Iss 2, Pp 163-170 (2016)
The aim of this article is to synthetically describe the research projects that a selection of Italian universities is undertaking in the context of big data. Far from being exhaustive, this article has the objective of offering a sample of distinct
Externí odkaz:
https://doaj.org/article/5ff32619da584ad3b99f2256ff8d3d51
Autor:
Luca Gagliardelli, Luca Zecchini, Luca Ferretti, Domenico Beneventano, Giovanni Simonini, Sonia Bergamaschi, Mirko Orsini, Luca Magnotta, Emma Mescoli, Andrea Livaldi, Nicola Gessa, Piero De Sabbata, Gianluca D’Agosta, Fabrizio Paolucci, Fabio Moretti
Publikováno v:
Future Generation Computer Systems. 141:595-610
Publikováno v:
Journal of Data and Information Quality. 12:1-22
We present BLAST2 , a novel technique to efficiently extract loose schema information , i.e., metadata that can serve as a surrogate of the schema alignment task within the Entity Resolution (ER) process, to identify records that refer to the same re
Entity Resolution (ER) aims to identify and merge records that refer to the same real-world entity. ER is typically employed as an expensive cleaning step on the entire data before consuming it. Yet, determining which entities are useful once cleaned
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5132f5d986323f93b532919b2330e9ce
https://hdl.handle.net/11380/1278078
https://hdl.handle.net/11380/1278078
Autor:
Riccardo Amerigo Vigliermo, Matteo Vanzini, Riccardo Martoglia, Luca Sala, Federico Ruozzi, Stefania De Nardis, Sonia Bergamaschi
Publikováno v:
GoodIT
Managing and sharing cultural heritages also in supranational and multi-literate contexts is a very hot research topic. In this paper we discuss the research we are conducting in the DigitalMaktaba project, presenting the first steps for designing an
Publikováno v:
Information Systems. 80:136-147
We propose a novel knowledge-based technique for inter-document similarity computation, called Context Semantic Analysis (CSA). Several specialized approaches built on top of specific knowledge base (e.g. Wikipedia) exist in literature, but CSA diffe
Autor:
Sonia Bergamaschi, Cinzia Bettio, Luca Magnotta, June Kinoshita, Enrico Calanchi, Luca Gagliardelli, Rossella Tupler, Mirko Orsini, Valentina Salsi
Publikováno v:
Orphanet Journal of Rare Diseases
Orphanet Journal of Rare Diseases, Vol 16, Iss 1, Pp 1-13 (2021)
Orphanet Journal of Rare Diseases, Vol 16, Iss 1, Pp 1-13 (2021)
Background The Italian Clinical network for FSHD (ICNF) has established the Italian National Registry for FSHD (INRF), collecting data from patients affected by Facioscapulohumeral dystrophy (FSHD) and their relatives. The INRF has gathered data from