Environmental data analysis using Bayesian
networks (2018)[Download PDF]
Journal papers
A.D. Maldonado, D. Ramos-López, P.A. Aguilera(2018) A comparison of machine learning methods to select socioeconomic indicators in cultural landscapes.
Sustainability 2018, 10(11), 4312. [link]
A.D. Maldonado, P.A. Aguilera, A.
Salmerón, Ann E. Nicholson (2018) Probabilistic modeling of
the relationship between socioeconomy and ecosystem services in
cultural landscapes.
Ecosystem Services 33, 146 - 164. [link] [free acces, until 23/11/18]
A.D. Maldonado, P.A. Aguilera, A. Salmerón (2016)
Continuous Bayesian networks for probabilistic environmental risk mapping.
Stochastic Environmental Research and Risk Assessment 30, 1441-1455. [link]
A.D. Maldonado, P.A. Aguilera, A. Salmerón (2016) Modeling zero-inflated explanatory variables in hybrid Bayesian network classifiers for species occurrence prediction.
Environmental Modelling & Software 82, 31-43. [link]
A.D. Maldonado, R.F. Ropero, P.A. Aguilera, R. Rumí, A. Salmerón (2015) Continuous Bayesian networks for the estimation of species richness.
Progress in Artificial Intelligence 4, 49-57. [link]
A.D. Maldonado, R. F. Ropero, P. A. Aguilera, A. Fernández, R. Rumí, A. Salmerón (2015)
Continuous Bayesian networks vs. other methods for regression in environmental modelling.
Procedia Environmental Sciences 26, 70-73. [link]
Conference proceedings
A. D. Maldonado, P.A. Aguilera, A.
Salmerón (2016). An experimental comparison of methods to
handle missing values in environmental datasets. 8th International
Congress on Environmental Modelling & Software 3, pp. 573 - 580 [link]
A.D. Maldonado, Rosa F. Ropero, Pedro Aguilera, Rafael Rumí, Antonio Salmerón (2015)
Estimation of species richness Using Bayesian networks.
CAEPIA'2015. Lecture Notes in Artificial Intelligence 9422, 153-163. [link]
Contact
Edificio CITIC
Despacho 2.08
Universidad de Almería
La Cañada de San Urbano s/n
04120 ALMERÍA. SPAIN. Phone: +34 950 01 5813 e-mail:ana.d.maldonado@ual.es