Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Maurizio, Carpita"'
Publikováno v:
Annals of Operations Research.
In sports, studying player performances is a key issue since it provides a guideline for strategic choices and helps teams in the complex procedure of buying and selling of players. In this paper we aim at investigating the ability of various composi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d10d4b5403365a173fdcf8223ef25e4
https://doi.org/10.1007/s10479-023-05185-w
https://doi.org/10.1007/s10479-023-05185-w
Autor:
Maurizio Carpita, Rodolfo Metulini
Floods are one of the natural disasters which cause the worst human, social and economic impacts to the detriment of both public and private sectors. Today, public decision-makers can take advantage of the availability of data-driven systems that all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36fd6d45b4a8976c57e6157bafcb45ce
https://hdl.handle.net/10446/235555
https://hdl.handle.net/10446/235555
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 20, Pp 3485-3500 (2020)
Floods are acknowledged as one of the most serious threats to people's lives and properties worldwide. To mitigate the flood risk, it is possible to act separately on its components: hazard, vulnerability, exposure. Emergency management plans can act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59c53ac0a2c4e84fa92e6c48d13f1f1d
https://doi.org/10.5194/nhess-20-3485-2020
https://doi.org/10.5194/nhess-20-3485-2020
Autor:
Silvia Golia, Maurizio Carpita
Publikováno v:
J Appl Stat
The application of data mining techniques and statistical analysis to the sports field has received increasing attention in the last decade. One of the most famous sports in the world is soccer, and the present work deals with it, using data from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5e6ee6440e152538488cec9b2f2bef2
https://doi.org/10.1080/02664763.2020.1772210
https://doi.org/10.1080/02664763.2020.1772210
Autor:
Rodolfo Metulini, Maurizio Carpita
Publikováno v:
Social Indicators Research. 156:761-781
To know the number of city users is essential since it provides a big amount of useful information in the context of Smart City evaluations that traditional static measures—represented by the number of residents from census data—are not able to p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32500d1cdffebdc3b6dbaaece2e83d4a
https://doi.org/10.1007/s11205-020-02355-2
https://doi.org/10.1007/s11205-020-02355-2
Publikováno v:
Social Indicators Research. 156:815-830
Many data science competitions occur in the context of soccer match prediction. The Kaggle European Soccer (KES) database, one of the biggest soccer datasets available on Kaggle, includes information about soccer players and matches from season 2009
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f102b31f007607157f1bd99c5027dfe8
https://doi.org/10.1007/s11205-020-02323-w
https://doi.org/10.1007/s11205-020-02323-w
Maps of flooding risk and exposure generally assume people and vehicles density constant over time, although this is not the case in the real world, as crowding is a highly dynamic process in urban areas. Monitoring and forecasting people mobility is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45e862208af43e940b681369b8da67c0
http://hdl.handle.net/11386/4782953
http://hdl.handle.net/11386/4782953