| Bayesian networks in environmental modelling PA Aguilera, A Fernández, R Fernández, R Rumí, A Salmerón Environmental Modelling & Software 26 (12), 1376-1388, 2011 | 759 | 2011 |
| Hybrid Bayesian network classifiers: Application to species distribution models PA Aguilera, A Fernández, F Reche, R Rumí Environmental Modelling & Software 25 (12), 1630-1639, 2010 | 106 | 2010 |
| Groundwater quality assessment using data clustering based on hybrid Bayesian networks PA Aguilera, A Fernández, RF Ropero, L Molina Stochastic environmental research and risk assessment 27, 435-447, 2013 | 81 | 2013 |
| A system for relevance analysis of performance indicators in higher education using Bayesian networks A Fernández, M Morales, C Rodríguez, A Salmerón Knowledge and information systems 27, 327-344, 2011 | 53 | 2011 |
| Regression using hybrid Bayesian networks: Modelling landscape–socioeconomy relationships RF Ropero, PA Aguilera, A Fernández, R Rumí Environmental modelling & software 57, 127-137, 2014 | 34 | 2014 |
| Modeling concept drift: A probabilistic graphical model based approach H Borchani, AM Martínez, AR Masegosa, H Langseth, TD Nielsen, ... Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA …, 2015 | 31 | 2015 |
| Extension of Bayesian network classifiers to regression problems A Fernández, A Salmerón Ibero-American Conference on Artificial Intelligence, 83-92, 2008 | 28 | 2008 |
| Tree augmented naive Bayes for regression using mixtures of truncated exponentials: Application to higher education management A Fernández, M Morales, A Salmerón International Symposium on Intelligent Data Analysis, 59-69, 2007 | 26 | 2007 |
| BayesChess: A computer chess program based on Bayesian networks A Fernández, A Salmerón Pattern Recognition Letters 29 (8), 1154-1159, 2008 | 24 | 2008 |
| Learning Bayesian networks for regression from incomplete databases A Fernández, JD Nielsen, A Salmerón International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2010 | 22 | 2010 |
| Data clustering using hidden variables in hybrid Bayesian networks A Fernández, JA Gámez, R Rumí, A Salmerón Progress in Artificial Intelligence 2, 141-152, 2014 | 20 | 2014 |
| Answering queries in hybrid Bayesian networks using importance sampling A Fernández, R Rumí, A Salmerón Decision Support Systems 53, 580-590, 2012 | 12 | 2012 |
| Parameter learning in hybrid Bayesian networks using prior knowledge I Pérez-Bernabé, A Fernández, R Rumí, A Salmerón Data mining and knowledge discovery 30, 576-604, 2016 | 11 | 2016 |
| Parallel importance sampling in conditional linear Gaussian networks A Salmerón, D Ramos-López, H Borchani, AM Martínez, AR Masegosa, ... Advances in Artificial Intelligence: 16th Conference of the Spanish …, 2015 | 10 | 2015 |
| Redes bayesianas: una herramienta probabilística en los modelos de distribución de especies. RMF Ropero, PA Aguilera, A Fernández, R Rumí Ecosistemas 23 (1), 54-60, 2014 | 9 | 2014 |
| Dynamic Bayesian modeling for risk prediction in credit operations H Borchani, AM Martínez, AR Masegosa, H Langseth, TD Nielsen, ... Thirteenth Scandinavian Conference on Artificial Intelligence, 17-26, 2015 | 8 | 2015 |
| 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 | 7 | 2015 |
| Parameter learning in MTE networks using incomplete data A Fernández, H Langseth, TD Nielsen, A Salmerón Cerdán | 7 | 2010 |
| Incremental supervised classification for the MTE distribution: A preliminary study I Flesch, A Fernández, A Salmerón Cerdán | 6 | 2007 |
| Requirement engineering for a small project with pre-specified scope TD Nielsen, S Hovda, F Antontio, H Langseth, AL Madsen, A Masegosa, ... NIK: Norsk Informatikkonferanse, 2014 | 3 | 2014 |
Antonio Salmerón (ORCID: 0000-0003...University of Almería, SpainVerifisert e-postadresse på ual.es