Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Gianluca Cima"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
It is well-known that Artificial Intelligence (AI), and in particular Machine Learning (ML), is not effective without good data preparation, as also pointed out by the recent wave of data-centric AI. Data preparation is the process of gathering, tran
Externí odkaz:
https://doaj.org/article/fcbb10d974a04fde8dc02531e5c1b855
Publikováno v:
Sports, Vol 10, Iss 1, p 3 (2021)
This study aimed to analyze different predictive analytic techniques to forecast the risk of muscle strain injuries (MSI) in youth soccer based on training load data. Twenty-two young soccer players (age: 13.5 ± 0.3 years) were recruited, and an inj
Externí odkaz:
https://doaj.org/article/26e7a05d1dd3452890deeff7031d090d
Publikováno v:
AAAI
In the context of the Description Logic DL-Liteℛ≠, i.e., DL-Liteℛ without UNA and with inequality axioms, we address the problem of adding to unions of conjunctive queries (UCQs) one of the simplest forms of negation, namely, inequality. It is
Autor:
Gianluca Cima
Publikováno v:
Frontiers in Artificial Intelligence and Applications ISBN: 9781643682587
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d6d38529dbf16a571cb9785226f09f2
https://doi.org/10.3233/faia348
https://doi.org/10.3233/faia348
Publikováno v:
Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference ISBN: 9783030993320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66641bf6f33ea2787bfb5a4f349c9b66
https://doi.org/10.1007/978-3-030-99333-7_20
https://doi.org/10.1007/978-3-030-99333-7_20
Autor:
Piero Bonatti, Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Luigi Sauro, Domenico Fabio Savo
Publikováno v:
The Semantic Web – ISWC 2022 ISBN: 9783031194320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::035a8ff51e21356b7229760126de96d4
https://doi.org/10.1007/978-3-031-19433-7_25
https://doi.org/10.1007/978-3-031-19433-7_25
Publikováno v:
Sports; Volume 10; Issue 1; Pages: 3
Sports, Vol 10, Iss 3, p 3 (2022)
Sports, Vol 10, Iss 3, p 3 (2022)
This study aimed to analyze different predictive analytic techniques to forecast the risk of muscle strain injuries (MSI) in youth soccer based on training load data. Twenty-two young soccer players (age: 13.5 ± 0.3 years) were recruited, and an inj
Publikováno v:
CIKM
Given an input dataset (i.e., a set of tuples), query definability in Ontology-based Data Management (OBDM) amounts to finding a query over the ontology whose certain answers coincide with the tuples in the given dataset. We refer to such a query as
Publikováno v:
The Semantic Web – ISWC 2021 ISBN: 9783030883607
ISWC
ISWC
We study information disclosure in Description Logic ontologies, in the spirit of Controlled Query Evaluation, where query answering is filtered through optimal censors maximizing answers while hiding data protected by a declarative policy. Previous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e09b1249ffa7541c483a41344d56cbf6
http://hdl.handle.net/10446/201340
http://hdl.handle.net/10446/201340
Publikováno v:
LICS
Data integration provides a unified and abstract view over a set of existing data sources. The typical architecture of a data integration system comprises the global schema, which is the structure for the unified view, the source schema, and the mapp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec8d1c040a5e1df680f134402081b6e9
http://hdl.handle.net/11573/1572050
http://hdl.handle.net/11573/1572050