Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maurizio Maravalle"'
Autor:
Alessandro Attanasio, Maurizio Maravalle, Henry Muccini, Fabrizio Rossi, Gianluca Scatena, Francesco Tarquini
We present a data-driven solution to manage visitors’ access at the Uffizi Gallery in Florence, Italy. The goal is to avoid the long lines outside the Museum, improving not only visitors’ experience, but also decency and security in the urban are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa0febc624aacf3a846c910f0beed91
https://hdl.handle.net/11697/200219
https://hdl.handle.net/11697/200219
Publikováno v:
Natural Hazards. 81:1971-1979
This paper is focused on developing statistical models to analyze the connection between radon emissions and earthquakes. Owing to our personal interest and the large amount of local data available in the period before and after the main shock, we de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82cbffa14d85c91f03a34da186454de2
https://doi.org/10.1007/s11069-016-2169-4
https://doi.org/10.1007/s11069-016-2169-4
Publikováno v:
Discrete Applied Mathematics. 157:991-1008
Clustering problems with relational constraints in which the underlying graph is a tree arise in a variety of applications: hierarchical data base paging, communication and distribution networks, districting, biological taxonomy, and others. They are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::094407cfe77f865a59fb9e5d0ad3ce2a
https://doi.org/10.1016/j.dam.2008.03.032
https://doi.org/10.1016/j.dam.2008.03.032
We study automatic classification for the diagnosis of the Carpal Tunnel Syndrome (CTS), a disease frequently observed in occupational medicine. We apply different classification techniques to two real-life medical data sets related to a group of pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a378751163efa49360c5ff9733d66285
http://hdl.handle.net/11573/778165
http://hdl.handle.net/11573/778165
Publikováno v:
Computational Statistics & Data Analysis. 24:217-234
Contiguity-constrained clustering problems in which the underlying graph is a tree arise in a variety of applications: hierarchical database paging, communication and distribution network districting, biological taxonomy, and others. They are formula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::680c82a7a776ca3cb008f736f469d07e
https://doi.org/10.1016/s0167-9473(96)00062-x
https://doi.org/10.1016/s0167-9473(96)00062-x
Autor:
Bruno Simeone, Maurizio Maravalle
Publikováno v:
Communications in Statistics - Theory and Methods. 24:625-639
We consider the problem of subdividing a region into districts—formed by geographically contiguous sites—which are as homogeneous as possible with respect to a certain set of characteristics. One possible mathematical formulation is the following
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c01fea13d9675606ca5eb10b715f09ab
https://doi.org/10.1080/03610929508831512
https://doi.org/10.1080/03610929508831512
In this paper, we study the relationship between atmospheric parameters (i.e., temperature and humidity) and radon data. We use the linear Granger causality in order to observe possible connections, on short and mid time scale periods, between radon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b0b9922dbda9fb0af11bf3c30a83c48
http://hdl.handle.net/11697/10731
http://hdl.handle.net/11697/10731
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783540646419
Clustering problems with relational constraints in which the underlying graph is a tree arise in a variety of applications: hierarchical data base paging, communication and distribution network districting, biological taxonomy, and others. They are f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abde3a3eab63cfb242abaf92f4940794
https://doi.org/10.1007/978-3-642-72253-0_22
https://doi.org/10.1007/978-3-642-72253-0_22