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Journal papers
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Rafael Rumí, Antonio Salmerón (2007) Approximate probability propagation with mixtures of truncated exponentials. International Journal of Approximate Reasoning 45,191-210.
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Barry R. Cobb, Prakash P. Shenoy, Rafael Rumí (2006) Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials. Statistics and Computing 16, 293-308.
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Vanessa Romero, Rafael Rumí, Antonio Salmerón (2006) Learning hybrid Bayesian networks using mixtures of truncated exponentials. International Journal of Approximate Reasoning 42, 54-68.
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Rafael Rumí, Antonio Salmerón and Serafín Moral (2006) Estimating mixtures of truncated exponentials in hybrid Bayesian networks. Test 15, 397-421.
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Conference proceedings
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Jens D. Nielsen, Rafael Rumi and Antonio Salmeron (2008) Structural-EM for Learning PDG Models from Incomplete Data. Proceedings of the Fourth European Workshop on Probabilistic Graphical Models.Pages 217--224.
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Helge Langseth, Thomas D. Nielsen, Rafael Rumi and Antonio Salmeron (2008) Parameter Estimation in Mixtures of Truncated Exponentials. Proceedings of the Fourth European Workshop on Probabilistic Graphical Models. (PGM'08). Pages 169--176.
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Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón (2007)
Maximum Likelihood vs. Least Squares for Estimating Mixtures of Truncated Exponentials.
INFORMS Annual Meeting, 2007.
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José A. Gámez, Rafael Rumí and Antonio Salmerón (2006) Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials. Proceedings of the Third European Workshop on Probabilistic Graphical Models (PGM'06), pp. 123-132.
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Rafael Rumí (2005) Kernels methods in bayesian networks. International Mediterranean Congress of Mathematics, (CIMMA'05) pp. 135-149.
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Barry R. Cobb, Rafael Rumí, Antonio Salmerón (2005) Especificación de distribuciones condicionadas de variables continuas en redes bayesianas. Actas de la VI Jornadas de Transferencia de Tecnología en I.A., pp. 21-28.
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Rafael Rumí and Antonio Salmerón (2005) Penniless propagation with mixtures of truncated exponentials. ECSQARU'05. Lecture Notes in Artificial Intelligence 3571, 39-50.
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Barry R. Cobb, Rafael Rumí and Antonio Salmerón (2005) Modeling conditional distributions of continuous variables in Bayesian networks. IDA'05. Lecture Notes in Computer Science 3646, 36-45.
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Barry R. Cobb, Prakash P. Shenoy and Rafael Rumí (2004) Approximating probability density functions with mixtures of truncated exponentials. Proceedings of the Tenth Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'04), pp. 429-436.
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Vanessa Romero, Rafael Rumí and Antonio Salmerón (2004) Structural learning of Bayesian networks with mixtures of truncated exponentials. Proceedings of the Second European Workshop on Probabilistic Graphical Models (PGM'04), pp. 177-184.
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Serafín Moral, Rafael Rumí, Antonio Salmerón (2003) Approximating conditional MTE distributions by means of mixed trees. Seventh European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Lecture Notes in Artificial Intelligence 2711, 173-183.
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Antonio J. Céspedes, Rafael Rumí, Antonio Salmerón, Francisco J. Soler (2003) Análisis del sector agrario del poniente almeriense mediante redes bayesianas. Actas del 27 Congreso Nacional de Estadística e I.O., pp. 3438-3455.
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Elvira Consortium (2002) Elvira: An environment for probabilistic graphical models. Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM'02), pp. 222-230.
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Serafín Moral, Rafael Rumí and Antonio Salmerón (2002) Estimating mixtures of truncated exponentials from data. Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM'02), pp. 135-143.
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Serafín Moral, Rafael Rumí, Antonio Salmerón (2001) Mixtures of truncated exponentials in hybrid Bayesian networks. Sixth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Lecture Notes in Artificial Intelligence 2143, 156-167.
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