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Ana D. Maldonado
Ana D. Maldonado
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Title
Cited by
Cited by
Year
Reviewing the ecological impacts of offshore wind farms
I Galparsoro, I Menchaca, JM Garmendia, Á Borja, AD Maldonado, ...
npj Ocean Sustainability 1 (1), 1-8, 2022
442022
Continuous Bayesian networks for probabilistic environmental risk mapping
AD Maldonado, PA Aguilera, A Salmerón
Stochastic environmental research and risk assessment 30, 1441-1455, 2016
292016
The role of cultural landscapes in the delivery of provisioning ecosystem services in protected areas
AD Maldonado, D Ramos-López, PA Aguilera
Sustainability 11 (9), 2471, 2019
272019
Probabilistic modeling of the relationship between socioeconomy and ecosystem services in cultural landscapes
AD Maldonado, PA Aguilera, A Salmerón, AE Nicholson
Ecosystem services 33, 146-164, 2018
202018
Prediction of a complex system with few data: evaluation of the effect of model structure and amount of data with dynamic bayesian network models
AD Maldonado, L Uusitalo, A Tucker, T Blenckner, PA Aguilera, ...
Environmental modelling & software 118, 281-297, 2019
192019
Modeling carbon dioxide for show cave conservation
E Guirado, D Ramos-López, AD Maldonado, JJ Moreno-Balcázar, ...
Journal for nature conservation 49, 76-84, 2019
142019
Modeling zero-inflated explanatory variables in hybrid Bayesian network classifiers for species occurrence prediction
AD Maldonado, PA Aguilera, A Salmerón
Environmental modelling & software 82, 31-43, 2016
132016
Analyzing uncertainty in complex socio-ecological networks
AD Maldonado, M Morales, PA Aguilera, A Salmerón
Entropy 22 (1), 123, 2020
122020
A Bayesian Network model to identify suitable areas for offshore wave energy farms, in the framework of ecosystem approach to marine spatial planning
AD Maldonado, I Galparsoro, G Mandiola, I de Santiago, R Garnier, ...
Science of The Total Environment 838, 156037, 2022
82022
MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions
I Pérez-Bernabé, AD Maldonado, TD Nielsen, A Salmerón
R Journal 12 (2), 321-341, 2020
82020
A comparison of machine-learning methods to select socioeconomic indicators in cultural landscapes
AD Maldonado, D Ramos-López, PA Aguilera
Sustainability 10 (11), 4312, 2018
82018
Modelling dependency structures produced by the introduction of a flipped classroom
AD Maldonado, M Morales
Mathematics 8 (1), 19, 2019
72019
Continuous Bayesian networks vs. other methods for regression in environmental modelling
AD Maldonado, RF Ropero, PA Aguilera, A Fernández, R Rumí, ...
Procedia Environmental Sciences 26, 70-73, 2015
72015
An empirical analysis of the impact of continuous assessment on the final exam mark
M Morales, A Salmerón, AD Maldonado, AR Masegosa, R Rumí
Mathematics 10 (21), 3994, 2022
62022
Reviewing the ecological impacts of offshore wind farms. npj Ocean Sustain 1, 1–8
I Galparsoro, I Menchaca, JM Garmendia, Á Borja, AD Maldonado, ...
52022
Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks
D Ramos-López, AD Maldonado
Mathematics 9 (2), 156, 2021
52021
Modeling Semiarid River–Aquifer Systems with Bayesian Networks and Artificial Neural Networks
AD Maldonado, M Morales, F Navarro, F Sánchez-Martos, PA Aguilera
Mathematics 10 (1), 107, 2021
42021
Continuous Bayesian networks for the estimation of species richness
AD Maldonado, RF Ropero, PA Aguilera, R Rumí, A Salmerón
Progress in Artificial Intelligence 4, 49-57, 2015
42015
A soft clustering approach to detect socio-ecological landscape boundaries using bayesian networks
RF Ropero, AD Maldonado, L Uusitalo, A Salmerón, R Rumí, PA Aguilera
Agronomy 11 (4), 740, 2021
32021
Probabilistic graphical models for species richness prediction: Are current protected areas effective to face climate emergency?
AD Maldonado, A Valdivielso, A Rescia, PA Aguilera
Global Ecology and Conservation 23, e01162, 2020
22020
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Articles 1–20