Antonio Salmerón
 

Publications



PhD Thesis
Pre-computation in dependence graphs using approximate algorithms (In Spanish) Dept. of Computer Science and Artificial Intelligence. University of Granada. 1998. [pdf]

Journal papers
Jens D. Nielsen, Rafael Rumí, Antonio Salmerón (2008) Supervised classification using probabilistic decision graphs. Submitted to Computational Statistics and Data Analysis.
Antonio Fernández, Antonio Salmerón (2008) BayesChess: A computer chess program based on Bayesian networks. Pattern Recognition Letters 29, 1154-1159. [link]
María Morales, Carmelo Rodríguez, Antonio Salmerón (2007) Selective naive Bayes for regression using mixtures of truncated exponentials. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems 15, 697-716. [preprint]
Rafael Rumí, Antonio Salmerón (2007) Approximate probability propagation with mixtures of truncated exponentials. International Journal of Approximate Reasoning 45,191-210. [link]
Vanessa Romero, Rafael Rumí, Antonio Salmerón (2006) Learning hybrid Bayesian networks using mixtures of truncated exponentials. International Journal of Approximate Reasoning 42, 54-68. [link]
Peter J.F. Lucas, José A. Gámez, Antonio Salmerón (2006) Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. International Journal of Approximate Reasoning 42, 1-3. [link]
Rafael Rumí, Antonio Salmerón and Serafín Moral (2006) Estimating mixtures of truncated exponentials in hybrid Bayesian networks. Test 15, 397-421. [link]
Serafín Moral and Antonio Salmerón (2005) Dynamic importance sampling in Bayesian networks based on probability trees. International Journal of Approximate Reasoning 38, 245-261. [link]
José A. Gámez and Antonio Salmerón (2003) Probabilistic graphical models. International Journal of Intelligent Systems 18, 149-151. [link]
Andrés Cano, Serafín Moral and Antonio Salmerón (2003) Novel strategies to approximate probability trees in Penniless propagation. International Journal of Intelligent Systems 18, 193-203. [link]
Andrés Cano, Serafín Moral and Antonio Salmerón (2002) Lazy evaluation in Penniless propagation over join trees. Networks 39, 175-185. [link]
Andrés Cano, Serafín Moral and Antonio Salmerón (2002) Diferentes estrategias para aproximar árboles de probabilidad en propagación Penniless. Inteligencia Artificial. Revista Iberomericana de IA 15, 10-18. [pdf]
Andrés Cano, Serafín Moral and Antonio Salmerón (2000) Penniless propagation in join trees. International Journal of Intelligent Systems 15, 1027-1059. [link]
Antonio Salmerón, Andrés Cano, Serafín Moral (2000) Importance sampling in Bayesian networks using probability trees. Computational Statistics and Data Analysis 34, 387-413. [link]
Fernando Reche, Antonio Salmerón (2000) Operational approach to general fuzzy measures. Interantional Journal of Uncertainty, Fuzziness and Knowledge Based Systems 8, 357-367. [link]
Luis D. Hernández, Serafín Moral and Antonio Salmerón (1998) A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques. International Journal of Approximate Reasoning 18, 53-91. [link]
Manuel J. Bolaños, Luis D. Hernández, Antonio Salmerón (1996) Numerical experimentation and comparison of fuzzy integrals. Mathware and Soft Computing 3, 309-319. [pdf]

Conference proceedings
Antonio Fernández, Antonio Salmerón (2008) Extension of Bayesian network classifiers to regression problems. IBERAMIA'08. Lecture Notes in Artificial Intelligence 5290, 83-92. [link]
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. [pdf]
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. [pdf]
Antonio Fernández, Jens D. Nielsen and Antonio Salmerón (2008) Learning naive Bayes regression models with missing data using mixtures of truncated exponentials. Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM'08) Pages 105-112. [pdf]
María Morales, Carmelo Rodríguez, Antonio Salmerón (2007) Metodología para el análisis de relevancia de indicadores de rendimiento en educación superior. Presented at: XXX Congreso Nacional de Estadística e Investigación Operativa. [pdf]
Jens Dalgaard Nielsen, Rafael Rumí and Antonio Salmerón (2007) El clasificador Grafo de Decisión Probabilístico. Presented at: XXX Congreso Nacional de Estadística e Investigación Operativa. [link]
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. [pdf]
Antonio Fernández, María Morales and Antonio Salmerón (2007) Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management. IDA'07. Lecture Notes in Computer Science 4723, 59-69. [pdf]
Ildikó Flesch, Antonio Fernández and Antonio Salmerón (2007) Incremental supervised classification for the MTE distribution: a preliminary study. Proceedings of the CEDI'07-SICO'07, pp. 217-224. [pdf]
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. [pdf]
Irene Martínez, Carmelo Rodríguez and Antonio Salmerón (2006) Dynamic importance sampling in Bayesian networks using factorisation of probability trees. Proceedings of the Third European Workshop on Probabilistic Graphical Models (PGM'06), pp. 187-194. [pdf]
María Morales, Carmelo Rodríguez and Antonio Salmerón (2006) Selective naive Bayes predictor with mixtures of truncated exponentials. Proceedings of the ICMSM'06. [pdf]
Antonio Fernández, Antonio Salmerón (2006) BayesChess: programa de ajedrez adaptativo basado en redes bayesianas. Proceedings of the CMPI'06, pp. 613-624.
[pdf]
María Morales, Carmelo Rodríguez and Antonio Salmerón (2005) Estudio de dependencias de indicadores de rendimiento del alumnado universitario mediante redes bayesianas. Actas de la VI Jornadas de Transferencia de Tecnología en I.A., pp. 29-36. [pdf]
José A. Gámez and Antonio Salmerón (2005) Predicción del valor genético en ovejas de raza manchega usando técnicas de aprendizaje automático. Actas de la VI Jornadas de Transferencia de Tecnología en I.A., pp. 71-80. [pdf]
José A. Piedra, Antonio Salmerón, F. Guindos and M. Cantón (2005) Reduction of irrelevant features in oceanic satellite images by means of Bayesian networks. Actas de la VI Jornadas de Transferencia de Tecnología en I.A., pp. 133-140. [pdf]
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. [pdf]
Rafael Rumí and Antonio Salmerón (2005) Penniless propagation with mixtures of truncated exponentials. ECSQARU'05. Lecture Notes in Artificial Intelligence 3571, 39-50. [link]
Irene Martínez, Serafín Moral, Carmelo Rodríguez and Antonio Salmerón (2005) Approximate factorisation of probability trees. ECSQARU'05. Lecture Notes in Artificial Intelligence 3571, 51-62. [link]
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. [link]
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. [link]
José del Sagrado and Antonio Salmerón (2004) Representing canocical models as probability trees. X Conferencia de la Asociación Española para la Inteligencia Artificial. Lecture Notes in Artificial Intelligence 3040, 478-487. [link]
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. [link]
Serafín Moral, Antonio Salmerón (2003) Dynamic importance sampling computation in Bayesian networks. Seventh European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Lecture Notes in Artificial Intelligence 2711, 137-148. [link]
María Morales, Antonio Salmerón (2003) Análisis del alumnado de la Universidad de Almería mediante redes bayesianas. Actas del 27 Congreso Nacional de Estadística e I.O., pp. 3413-3436. [pdf]
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. [pdf]
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. [link]
Irene Martínez, Serafín Moral, Carmelo Rodríguez and Antonio Salmerón (2002) Factorisation of probability trees and its application to inference in Bayesian networks. Proceedings of the First European Workshop on Probabilistic Graphical Models (PGM'02), pp. 127-134. [link]
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. [link]
Andrés Cano, Serafín Moral and Antonio Salmerón (2001) Different strategies to approximate probability trees in Penniless propagation. IX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'2001), Vol II, pp. 1045-1054. [pdf]
Antonio Salmerón, Serafín Moral (2001) Importance sampling in Bayesian networks using antithetic variables. Sixth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Lecture Notes in Artificial Intelligence 2143, 168-179. [link]
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. [link]
Antonio Salmerón, María Morales (2000) Propagación Monte Carlo en redes bayesianas usando variables correlacionadas. Actas del XXV Congreso Nacional de Estadística e I.O., 407-408. [pdf]
Fernando Reche, Antonio Salmerón (1999) Towards an operational interpretation of fuzzy measures. Proceedings of the First International Symposium on Imprecise Probabilities and their Applications, pp. 312-318. [pdf]
Serafín Moral, Antonio Salmerón (1999) A Monte Carlo algorithm for combining Dempster-Shafer belief based on approximate pre-computation. Fifth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Lecture Notes in Artificial Intelligence 1638, 305-315. [link]
Antonio Salmerón, Serafín Moral (1998) Muestreo sistemático recursivo en redes bayesianas. (in Spanish) Actas XXIV Congreso Nacional de Estadística e I.O., 139-140. [pdf]
Luis D. Hernández, Serafín Moral, Antonio Salmerón (1997) Inferencia en redes causales probabilistas mediante precomputación aproximada. (in Spanish) Actas XXIII Congreso Nacional de Estadística e I.O., 37.5-37.6. [pdf]
Luis D. Hernández, Antonio Salmerón (1996) Distancias e índices parciales de medidas difusas. (in Spanish) Proceedings of ESTYLF'96 Conference, 149-154. [pdf]
Luis D. Hernández, Serafín Moral, Antonio Salmerón (1996) Importance sampling algorithms for belief networks based on approximate computation. Proceedings of the IPMU'96 Conference, vol. II, 859-864. [pdf]
Antonio Salmerón, Manuel J. Bolaños (1995) Método híbrido para inferencia en redes Bayesianas. (In Spanish) Actas XXII Congreso Nacional de Estadística e I.O., 243-244. [pdf]
Manuel J. Bolaños, Luis D. Hernández, Antonio Salmerón (1995) Experimentación numérica y comparación de integrales difusas. (In Spanish). Estylf'95. Anales de Informática Vol. 1, 89-94. [pdf]


Books
María Morales, Carmelo Rodríguez, Antonio Salmerón (2007) Análisis de indicadores de rendimiento mediante redes bayesianas. Editorial Universidad de Almería.
Peter J.F. Lucas, José A. Gámez, Antonio Salmerón (2007) Advances in probabilistic graphical models. Series: Studies in Fuzziness and Soft Computing, vol. 213. Springer. [link]
José A. Gámez, Serafín Moral, Antonio Salmerón (2004) Advances in Bayesian networks. Series: Studies in Fuzziness and Soft Computing, vol. 146. Springer. [link]
José A. Gámez, Antonio Salmerón (2002) Proceedings of the First European Workshop on Probabilistic Graphical Models. Cuenca (Spain). [link]
Antonio Salmerón, María Morales (2001) Estadística Computacional. Colección de Material Didáctico. Servicio de Publicaciones de la Universidad de Almería. [pdf]

Book chapters
Barry R. Cobb, Rafael Rumí, Antonio Salmerón (2007) Bayesian network models with discrete and continuous variables. In: Advances in Probabilistic graphical models. Series: Studies in Fuzziness and Soft Computing, vol. 213. Springer, pp. 81-102. [link]
Vanessa Romero and Antonio Salmerón (2004) Multivariate imputation of qualitative missing data using Bayesian networks. In: Soft methodology and random information systems. Springer, pp. 605-612. [pdf]
Andrés Cano, Serafín Moral, Antonio Salmerón (2004) Algorithms for approximate probability propagation in Bayesian networks. In: Advances in Bayesian networks. Series: Studies in Fuzziness and Soft Computing, vol. 146. Springer, pp. 77-99. [link]
Antonio Salmerón (2001) Modelos gráficos. In: Técnicas Estadísticas aplicadas al análisis de datos y su tratamiento informático. Servicio de Publicaciones de la Universidad de Almería. Pag. 199-212.
Antonio Salmerón (1998) Algoritmos de propagación II: Métodos de Monte Carlo. En: Sistemas Expertos Probabilísticos. Colección Ciencia y Técnica. Ediciones de la Universidad de Castilla-La Mancha, pp. 65-88. [pdf]

Technical reports
Antonio Salmerón, Finn V. Jensen. HUGIN architecture for propagating belief functions. 23 pages. December 1997. [pdf]