A. D. Maldonado

发表

Prediction of a complex system with few data: Evaluation of the effect of model structure and amount of data with dynamic bayesian network models

Allan Tucker, Laura Uusitalo, Pedro A. Aguilera, 2019, Environ. Model. Softw..

Modeling zero-inflated explanatory variables in hybrid Bayesian network classifiers for species occurrence prediction

Antonio Salmerón, Pedro A. Aguilera, A. D. Maldonado, 2016, Environ. Model. Softw..

An Experimental Comparison of Methods to Handle Missing Values in Environmental Datasets

Antonio Salmerón, A. D. Maldonado, Pedro A. Aguilera, 2016 .

Continuous Bayesian networks for probabilistic environmental risk mapping

Antonio Salmerón, Pedro A. Aguilera, A. D. Maldonado, 2016, Stochastic Environmental Research and Risk Assessment.

Continuous Bayesian Networks vs. Other Methods for Regression in Environmental Modelling

Rosa F. Ropero, Rafael Rumí, Antonio Salmerón, 2015 .

The Role of Cultural Landscapes in the Delivery of Provisioning Ecosystem Services in Protected Areas

A. D. Maldonado, P. Aguilera, D. Ramos-López, 2019, Sustainability.

Probabilistic modeling of the relationship between socioeconomy and ecosystem services in cultural landscapes

A. D. Maldonado, A. Nicholson, A. Salmerón, 2018, Ecosystem Services.

Probabilistic graphical models for species richness prediction: Are current protected areas effective to face climate emergency?

A. D. Maldonado, A. Rescia, P. Aguilera, 2020 .

Modeling carbon dioxide for show cave conservation

A. D. Maldonado, J. Calaforra, E. Guirado, 2019, Journal for Nature Conservation.

A Bayesian Network model to identify suitable areas for offshore wave energy farms, in the framework of ecosystem approach to marine spatial planning.

A. D. Maldonado, Á. Borja, I. Galparsoro, 2022, The Science of the total environment.

An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark

A. D. Maldonado, A. Salmerón, A. Masegosa, 2022, Mathematics.

Continuous Bayesian networks for the estimation of species richness

A. D. Maldonado, A. Salmerón, P. Aguilera, 2015, Progress in Artificial Intelligence.

Analyzing Uncertainty in Complex Socio-Ecological Networks

Pedro Aguilera Aguilera, Antonio Salmerón, A. D. Maldonado, 2020, Entropy.

Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks

Darío Ramos-López, A. D. Maldonado, Ana D. Maldonado, 2021, Mathematics.

A Soft Clustering Approach to Detect Socio-Ecological Landscape Boundaries Using Bayesian Networks

Rosa F. Ropero, Rafael Rumí, Antonio Salmerón, 2021, Agronomy.

Estimation of Species Richness Using Bayesian Networks

Rosa F. Ropero, Rafael Rumí, Pedro Aguilera Aguilera, 2015, CAEPIA.

Modeling Semiarid River–Aquifer Systems with Bayesian Networks and Artificial Neural Networks

A. D. Maldonado, F. Sánchez-Martos, Francisco Navarro, 2021, Mathematics.