Book Chapters

Please note: The copyrights to these publications are held by their publishers. The pdf files provided here may be used only for single copies for personal use. They may not be reposted on other web sites or used for any other purpose without the express permission of the appropriate publishers.
2017
Ogbechie, A., J. Díaz-Rozo, P. Larrañaga, and C. Bielza, "Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment", Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2016: Springer Berlin Heidelberg, pp. 17-24, 2017.
2012
Karshenas, H., R. Santana, C. Bielza, and P. Larrañaga, "Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks", Markov Networks in Evolutionary Algorithms: Springer, pp. 157-173, 2012.
2009
Inza, I., B. Calvo, R. Armañanzas, E. Bengoetxea, P. Larrañaga, and J. A. Lozano, "Machine learning: An indispensable tool in bioinformatics", Bioinformatics Methods in Clinical Research: Springer, pp. 25-48, 2009.
2005
Armañanzas, R., B. Calvo, I. Inza, P. Larrañaga, I. Bernales, A. Fullaondo, and A. M. Zubiaga, "Clasificadores Bayesianos con selección consensuada de genes en la predicción del lupus eritematoso sistémico", Minería de Datos: Técnicas y Aplicaciones: Ediciones Dpt. de Informática de la UCLM, pp. 107-135, 2005.
2004
Bielza, C., J. A. Fernandez del Pozo, and P. Lucas, "Research and Development in Intelligent Systems XX", Optimal Decision Explanation by Extracting Regularity Patterns: Springer, pp. 283-294, 2004.
Gómez, M., J. A. Fernandez del Pozo, C. Bielza, and S. Ríos-Insua, "Gestión de la Ictericia Neonatal", La Aventura de Decidir: Una Aproximación Científica mediante Casos Reales: Universidad de Málaga, pp. 73-94, 2004.
Puch, R. O., J. Q. Smith, and C. Bielza, "Hierarchical Junction Trees: Conditional Independence Preservation and Forecasting in Dynamic Bayesian Networks with Heterogeneous Evolution", Advances in Bayesian Networks Studies in Fuzziness and Soft Computing: Springer, pp. 57-76, 2004.
2003
Bielza, C., J. A. Fernandez del Pozo, and P. Lucas, "Finding and Explaining Optimal Treatments", Lecture Notes in Artificial Intelligence: Springer, pp. 299-303, 2003.
Bielza, C., and S. Ríos-Insua, "Análisis de Decisiones Clínicas", Manual de Informática Médica: Menarini - Caduceo Multimedia, pp. 467-491, 2003.
González, C., D. J. Rodriguez, J. A. Lozano, and P. Larrañaga, "Analysis of the univariate marginal distribution algorithm modeled by Markov chains", Lecture Notes in Computer Science, pp. 510–517, 2003.
Robles, V., P. Larrañaga, J. M. Peña, O. Marban, J. Crespo, and M. S. Pérez, "Collaborative filtering using interval estimation naïve Bayes", Lecture Notes in Artificial Intelligence, pp. 46–53, 2003.
Robles, V., P. Larrañaga, J. M. Peña, E. Menasalvas, and M. S. Pérez, "Interval estimation naïve Bayes", Lecture Notes in Computer Science, pp. 143–154, 2003.
Santafé, G., J. A. Lozano, and P. Larrañaga, "Fitting mixture models with estimation of distribution algorithms", Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, pp. 232–236, 2003.
2002
Bengoetxea, E., P. Larrañaga, I. Bloch, and A. Perchant, "Solving graph matching with EDAs using a permutation–based representation", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 243–265, 2002.
Bielza, C., and J. A. Fernandez del Pozo, "An Interactive Framework for Open Queries in Decision Support Systems", Lecture Notes in Artificial Intelligence: Springer, pp. 254-264, 2002.
Cotta, C., E. Alba, R. Sagarna, and P. Larrañaga, "Adjusting weights in artificial neural networks using evolutionary algorithms", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 361–377, 2002.
de Campos, L. M., J. A. Gamez, P. Larrañaga, S. Moral, and T. Romero, "Partial abductive inference in Bayesian networks: an empirical comparison between GAs and EDAs", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 323–341, 2002.
González, C., J. A. Lozano, and P. Larrañaga, "Mathematical modeling of discrete estimation of distribution algorithms", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 147–163, 2002.
Inza, I., P. Larrañaga, and B. Sierra, "Feature subset selection by estimation of distribution algorithms", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 269–293, 2002.
Inza, I., P. Larrañaga, and B. Sierra, "Estimation of distribution algorithms for feature subset selection in large dimensionality domains", Data Mining: A Heuristic Approach, pp. 97–116, 2002.
Inza, I., P. Larrañaga, and B. Sierra, "Feature weighting for nearest neighbor by estimation of distribution algorithms", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 295–311, 2002.
Larrañaga, P., "An introduction to probabilistic graphical models", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 27–56, 2002.
Larrañaga, P., "A review on estimation of distribution algorithms", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 57–100, 2002.
Lozano, J. A., R. Sagarna, and P. Larrañaga, "Parallel estimation of distribution algorithms", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 129–145, 2002.
Peña, J. M., J. A. Lozano, and P. Larrañaga, "Benefits of data clustering in multimodal function optimization via EDAs", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, 2002.
Robles, V., P. de Miguel, and P. Larrañaga, "Solving the traveling salesman problem with EDAs", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 211–229, 2002.
Roure, J., P. Larrañaga, and R. Sangüesa, "An empirical comparison between K-means, GAs and EDAs in partitional clustering", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 343–360, 2002.
Sagarna, R., and P. Larrañaga, "Solving the 0–1 knapsack problem with EDAs", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 195–209, 2002.
Sierra, B., E. A. Jimenez, I. Inza, P. Larrañaga, and J. Muruzábal, "Rule induction by estimation of distribution algorithms", Estimation of Distribution Algorithms. A New Tool for Evolutionary, pp. 313–322, 2002.
2001
Bengoetxea, E., P. Larrañaga, I. Bloch, and A. Perchant, "Estimation of distribution algorithms: a new evolutionary computation approach for graph matching problems", Lecture Notes in Computer Science, pp. 454–468, 2001.
Bengoetxea, E., T. Miquelez, P. Larrañaga, and J. A. Lozano, "Experimental results in function optimization with EDAs in continuous domains", Estimation of Distribution Algorithms. A New Tool for Evolutionary Computation, pp. 181–194, 2001.
Blanco, R., I. Inza, and P. Larrañaga, "Learning Bayesian networks from data by novel population–based, stochastic search algorithms", IX Conferencia de la Asociación Española para la Inteligencia Artificial, pp. 1095–1104, 2001.
González, C., J. A. Lozano, and P. Larrañaga, "The convergence behavior of the PBIL algorithm: A preliminary approach", International Conference in Artificial Neural Networks and Genetic Algorithms, pp. 228–231, 2001.
Martín, J., and C. Bielza, "Aplicación de Técnicas de Simulación al Análisis de Decisiones: Estudio de una Línea de Clasificación de Frutas", Gestao da Tecnologia Empresarial e da Informacao: Conceitos e Estudos de Casos: Editora Internet, pp. 181-194, 2001.
Miquelez, T., E. Bengoetxea, I. Morlan, and P. Larrañaga, "Obtención de filtros para restauración de imágenes por medio de algoritmos de estimación de distribuciones", IX Conferencia de la Asociación Española para la Inteligencia Artificial, pp. 1145–1154, 2001.
Sierra, B., E. Lazkano, I. Inza, M. Merino, P. Larrañaga, and J. Quiroga, "Prototype selection and feature subset selection by estimation of distribution algorithms. A case study in the survival of cirrhotic patients treated with TIPS", Lecture Notes in Artificial Intelligence, pp. 20-29, 2001.
Sierra, B., I. Inza, and P. Larrañaga, "On applying supervised classification techniques in medicine", Lecture Notes in Computer Sciences, pp. 14–19, 2001.
2000
Bielza, C., S. Ríos-Insua, M. Gómez, and J. A. Fernandez del Pozo, "Sensitivity Analysis in IctNeo", Robust Bayesian Analysis, Lecture Notes in Statistics: Springer, pp. 317-334, 2000.
Gómez, M., S. Ríos-Insua, C. Bielza, and J. A. Fernandez del Pozo, "Multiattribute Utility Analysis in the IctNeo System", Research and Practice in Multiple Criteria: Springer, pp. 81-92, 2000.
Inza, I., M. Merino, P. Larrañaga, J. Quiroga, B. Sierra, and M. Girala, "Feature subset selection using probabilistic tree structures. A case study in the survival of cirrhotic patients treated with TIPS", Lecture Notes in Computer Science, pp. 97-100, 2000.
Larrañaga, P., R. Etxeberria, and J. A. Lozano, "Combinatorial optimization by learning and simulation of Bayesian networks", Uncertainty in Artificial Intelligence, pp. 343–352, 2000.
Ríos-Insua, S., M. Gómez, C. Bielza, and J. A. Fernandez del Pozo, "Implementation of IctNeo: a Decision Support System for Jaundice Management", Operations Research Proceedings, pp. 554-559, 2000.
Sierra, B., I. Inza, and P. Larrañaga, "Medical Bayes networks", Lecture Notes in Computer Science, pp. 4-14, 2000.
1999
Dizdarevich, S., P. Larrañaga, J. M. Peña, B. Sierra, M. J. Gallego, and J. A. Lozano, "Predicción del fracaso empresarial mediante la combinación de clasificadores provenientes de la estadística y el aprendizaje automático", Tecnologías Inteligentes para la Gestión Empresarial, pp. 71–114, 1999.
González, C., J. A. Lozano, and P. Larrañaga, "Algoritmo PBIL: un análisis teórico preliminar", Gráficas Espinardo S. L., pp. 81–88, 1999.
Larrañaga, P., and C. M. H. Kuijpers, "Moral graph (triangulation of)", Encyclopedia of Statistical Sciences. Update Volume 3, pp. 462–464, 1999.
Sierra, B., N. Serrano, P. Larrañaga, E. J. Plasencia, I. Inza, J. J. Jiménez, J. M. de la Rosa, and M. L. Mora, "Machine learning inspired approaches to combine standard medical measures at an intensive care unit", Lecture Notes in Artificial Intelligence 1620, pp. 366–371, 1999.
1998
Bielza, C., and D. Ríos Insua, "Modelos Gráficos para la Toma de Decisiones", Sistemas Expertos Probabilísticos Colección Ciencia y Técnica: Eds. de la Universidad de Castilla - La Mancha, pp. 163-185, 1998.
Larrañaga, P., "Aprendizaje automático de modelos gráficos II. Aplicaciones a la clasificación supervisada", Sistemas Expertos Probabilísticos, pp. 141–162, 1998.
Lozano, J. A., P. Larrañaga, and M. Graña, "Data Science Classification and Related Methods: Partitional cluster analysis with genetic algorithms: searching for the number of clusters", Studies in Classification, Data Analysis and Knowledge Organization, pp. 117–124, 1998.
Ríos Insua, D., C. Bielza, J. Martín, and K. A. Salewicz, "Intelligent Decision Support for Reservoir Operations", Applied Decision Analysis: Kluwer, pp. 63-72, 1998.
Ríos-Insua, S., C. Bielza, C. Gómez, J. A. Fernandez del Pozo, M. Sánchez Luna, and S. Caballero, "An Intelligent Decision System for Jaundice Management in Newborn Babies", Applied Decision Analysis: Kluwer, pp. 133-144, 1998.
1997
Dizdarevich, S., F. Lizarraga, P. Larrañaga, B. Sierra, and M. J. Gallego, "Statistical and machine learning methods in the prediction of bankruptcy", Intelligent Technologies in Accounting and Business, pp. 85–100, 1997.
Larrañaga, P., B. Sierra, M. J. Gallego, M. J. Michelena, and J. M. Pikaza, "Learning Bayesian networks by genetic algorithms: A case study in the prediction of survival in malignant skin melanoma", Lecture Notes in Artificial Intelligence 1211, pp. 261–272, 1997.
Larrañaga, P., M. J. Gallego, B. Sierra, L. Urkola, and M. J. Michelena, "Bayesian networks, rule induction and logistic regression in the prediction of the survival of women survival suffering from breast cancer", Lecture Notes in Artificial Intelligence 1323, pp. 303–308, 1997.
Ríos Insua, D., K. A. Salewicz, P. Müller, and C. Bielza, "Bayesian Methods in Reservoir Operations: the Zambezi River Case", The Practice of Bayesian Analysis: Arnold, pp. 107-130, 1997.
Ríos Insua, D., C. Bielza, J. Martín, and K. Salewicz, "BayRes: a System for Stochastic Multiobjective Reservoir Operations", Lecture Notes in Economics and Mathematical, pp. 319-327, 1997.
Sierra, B., and P. Larrañaga, "Searching for the optimal Bayesian network in classification tasks by genetic algorithms", 4th Workshop on Uncertainty Processing, pp. 144–155, 1997.
1996
Bielza, C., D. Ríos Insua, and S. Ríos-Insua, "Influence Diagrams under Partial Information", Bayesian Statistics 5: Oxford U.P., pp. 491-497, 1996.
Larrañaga, P., C. M. H. Kuijpers, R. H. Murga, Y. Yurramendi, M. Graña, J. A. Lozano, X. Albizuri, A. D’Anjou, and F. J. Torrealdea, "Genetic algorithms applied to Bayesian networks", Computational Learning and Probabilistic Reasoning, pp. 211–234, 1996.
Larrañaga, P., B. Sierra, M. J. Gallego, and M. J. Michelena, "Bayesian networks induced by genetic algorithms in the prediction of the survival of breast cancer", International Conference on Intelligent Technologies in Human-Related Sciences, pp. 259–266, 1996.
Larrañaga, P., B. Sierra, M. J. Gallego, and M. J. Michelena, "Predicción de la supervivencia en cáncer de mama via redes Bayesianas inducidas por algoritmos genéticos", XIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica, pp. 197–199, 1996.
Larrañaga, P., R. H. Murga, M. Poza, and C. M. H. Kuijpers, "Structure learning of Bayesian networks by hybrid genetic algorithms", Lecture Notes in Statistics 112, pp. 165–174, 1996.
1994
Larrañaga, P., and M. Poza, "Structure learning of Bayesian networks by genetic algorithms", New Approaches in Classification and Data Analysis, pp. 300–307, 1994.
Ríos-Insua, S., A. Mateos, and C. Bielza, "Teoría de la Utilidad e Inteligencia Artificial", Fronteras de la Informática: Real Academia de Ciencias, pp. 169-189, 1994.
1993
Larrañaga, P., M. Graña, A. D’Anjou, and F. J. Torrealdea, "Genetic algorithms elitist probabilistic of degree 1, a generalization of simulated annealing", Lecture Notes in Artificial Intelligence 728, pp. 208–217, 1993.
Larrañaga, P., and Y. Yurramendi, "Structure learning approaches in causal probabilistics networks", Lecture Notes in Computer Science 747, pp. 227–232, 1993.
1989
Larrañaga, P., "Clasificación de las provincias españolas frente a los delitos comunes", Criminología y Derecho Penal al Servicio de la Persona. Libro Homenaje al Profesor Antonio Beristain, pp. 289–291, 1989.
1988
Erquicia, M., and P. Larrañaga, "Clasificación de los alimentos utilizando metodología estadística", Problemas de la Nutrición en las Sociedades Desarrolladas, pp. 270–275, 1988.