Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Rafael Rumí"'
Publikováno v:
Mathematics, Vol 10, Iss 21, p 3994 (2022)
Since the Bologna Process was adopted, continuous assessment has been a cornerstone in the curriculum of most of the courses in the different degrees offered by the Spanish Universities. Continuous assessment plays an important role in both students
Externí odkaz:
https://doaj.org/article/6ecd16f0491e4f69ae40281b694ea2be
Publikováno v:
Mathematics, Vol 10, Iss 10, p 1777 (2022)
Environmental data often present inconveniences that make modeling tasks difficult. During the phase of data collection, two problems were found: (i) a block of five months of data was unavailable, and (ii) no information was collected from the coast
Externí odkaz:
https://doaj.org/article/48bccfaa73ce4466bdd6e407b3425ec9
Autor:
Rosa F. Ropero, Ana D. Maldonado, Laura Uusitalo, Antonio Salmerón, Rafael Rumí, Pedro A. Aguilera
Publikováno v:
Agronomy, Vol 11, Iss 4, p 740 (2021)
Detecting socio-ecological boundaries in traditional rural landscapes is very important for the planning and sustainability of these landscapes. Most of the traditional methods to detect ecological boundaries have two major shortcomings: they are una
Externí odkaz:
https://doaj.org/article/5c5a63fb4c304fbc862b56e614f59037
Publikováno v:
Ecosistemas, Vol 23, Iss 1, Pp 54-60 (2014)
Las redes bayesianas son un modelo probabilístico multivariante que permite trabajar con incertidumbre. En general, su aplicación en los modelos de distribución de especies es escasa y centrada en el tratamiento de datos discretos sin aprovechar t
Externí odkaz:
https://doaj.org/article/5de36fbf467b43aca01e309cf2bdb5df
Natural disasters, especially those related with water-like storms and floods-have been increased over the last decades both in number and intensity. According to Insurance Federation data, storms and floods comprise more than 75% of economic losses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c045fb2649d0280f8a537def1faf125b
https://doi.org/10.21203/rs.3.rs-1533031/v1
https://doi.org/10.21203/rs.3.rs-1533031/v1
Publikováno v:
Environmental and Ecological Statistics. 26:47-86
In Mediterranean areas, the co-evolution between social and natural systems has given rise to heterogeneous and complex systems of interactions called agroecosystems, in which strong relationships between socioeconomy, landscape and water flows have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3efaea1cdc6498c7b96695fbebe38465
https://doi.org/10.1007/s10651-019-00419-2
https://doi.org/10.1007/s10651-019-00419-2
Autor:
Rafael Rumí, Laura Uusitalo, Antonio Salmerón, Rosa F. Ropero, Pedro A. Aguilera, Ana D. Maldonado
Publikováno v:
Agronomy
Volume 11
Issue 4
riUAL. Repositorio Institucional de la Universidad de Almería
Universidad de Almería
Agronomy, Vol 11, Iss 740, p 740 (2021)
Volume 11
Issue 4
riUAL. Repositorio Institucional de la Universidad de Almería
Universidad de Almería
Agronomy, Vol 11, Iss 740, p 740 (2021)
Detecting socio-ecological boundaries in traditional rural landscapes is very important for the planning and sustainability of these landscapes. Most of the traditional methods to detect ecological boundaries have two major shortcomings: they are una
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81761ce930640dc6cc1b640b859da837
Environmental data often present missing values or lack of information that make modelling tasks difficult. Under the framework of SAICMA Research Project, a flood risk management system is modelled for Andalusian Mediterranean catchment using inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c321aacbed3c7aaa4ca58d3cad0ca54
https://doi.org/10.5194/egusphere-egu21-10004
https://doi.org/10.5194/egusphere-egu21-10004
Autor:
Thomas D. Nielsen, Helge Langseth, Andrés R. Masegosa, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen, Rafael Rumí
Publikováno v:
Ramos-López, D, Masegosa, A, Salmerón, A, Rumí, R, Langseth, H, Nielsen, T D & Madsen, A L 2018, ' Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks ', International Journal of Approximate Reasoning, vol. 100, 100, pp. 115-134 . https://doi.org/10.1016/j.ijar.2018.06.004
In this paper we propose a scalable importance sampling algorithm for computing Gaussian mixture posteriors in conditional linear Gaussian Bayesian networks. Our contribution is based on using a stochastic gradient ascent procedure taking as input a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4ab0bfe96aaf8852e1f3c739dc21b15
https://doi.org/10.1016/j.ijar.2018.06.004
https://doi.org/10.1016/j.ijar.2018.06.004
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 32:3117-3135
Time series analysis requires powerful and robust tools; at the same time the tools must be intuitive for users. Bayesian networks have been widely applied in static problem modelling, but, in some knowledge areas, Dynamic Bayesian networks are hardl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62b9b8db342c126389e34c87872bdcae
https://doi.org/10.1007/s00477-018-1566-5
https://doi.org/10.1007/s00477-018-1566-5