JCR Articles

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2017
Anton-Sanchez, L., C. Bielza, and P. Larrañaga, "Network Design through Forests with Degree- and Role-constrained Minimum Spanning Trees", Journal of Heuristics, vol. 23, issue 1, pp. 31-51, 2017.
Fernandez-Gonzalez, P., C. Bielza, and P. Larrañaga, "Univariate and bivariate truncated von Mises distributions", Progress in Artificial Intelligence (no JCR), pp. 1-10, 2017.
Rodriguez-Lujan, L., P. Larrañaga, and C. Bielza, "Frobenius norm regularization for the multivariate von Mises distribution", International Journal of Intelligent Systems, vol. 32, issue 2, pp. 153–176, 2017.
2016
Anton-Sanchez, L., C. Bielza, R. Benavides-Piccione, J. DeFelipe, and P. Larrañaga, "Dendritic and axonal wiring optimization of cortical GABAergic interneurons", Neuroinformatics, vol. 14, issue 4, pp. 453-464, 2016.
Anton-Sanchez, L., C. Bielza, P. Larrañaga, and J. DeFelipe, "Wiring Economy of Pyramidal Cells in the Juvenile Rat Somatosensory Cortex", PLoS ONE, vol. 11, issue 11, 2016.
Benjumeda, M., C. Bielza, and P. Larrañaga, "Learning Bayesian networks with low inference complexity", Progress in Artificial Intelligence (no JCR), vol. 5, issue 1, pp. 15-26, 2016.
Borchani, H., P. Larrañaga, J. Gama, and C. Bielza, "Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers", Intelligent Data Analysis, vol. 20, no. 2, 2016.
Córdoba-Sánchez, I., and J. de Lara, "Ann: A domain-specific language for the effective design and validation of Java annotations", Computer Languages, Systems and Structures, vol. 45, pp. 164-190, 2016.
Fernandez-Gonzalez, P., R. Benavides-Piccione, I. Leguey, C. Bielza, P. Larrañaga, and J. DeFelipe, "Dendritic branching angles of pyramidal neurons of the human cerebral cortex", Brain Structure and Function, vol. 222, issue 4, pp. 1847-1859, 2016.
Leguey, I., C. Bielza, P. Larrañaga, A. Kastanauskaite, C. Rojo, R. Benavides-Piccione, and J. DeFelipe, "Dendritic branching angles of pyramidal cells across layers of the juvenile rat somatosensory cortex", Journal of Comparative Neurology, vol. 524, issue 13, pp. 2567-2576, 2016.
Leitner, L., C. Bielza, S. L. Hill, and P. Larrañaga, "Data Publications Correlate with Citation Impact", Frontiers in Neuroscience, vol. 10, issue 419, 2016.
Rojo, C., I. Leguey, A. Kastanauskaite, C. Bielza, P.. Larrañaga, J.. DeFelipe, and R.. Benavides-Piccione, "Laminar differences in dendritic structure of pyramidal neurons in juvenile rat somatosensory cortex", Cerebral Cortex, vol. 26, issue 6, pp. 2811-2822, 2016.
Varando, G., C. Bielza, and P. Larrañaga, "Decision Functions for Chain Classifiers based on Bayesian Networks for Multi-Label Classification", International Journal of Approximate Reasoning, vol. 68, pp. 164-178, 2016.
2015
Bielza, C., S. Moral, and A. Salmerón, "Recent advances in probabilistic graphical models", International Journal of Intelligent Systems, vol. 30, pp. 207-208, 2015.
Bielza, C., J. Gama, A. Jorge, and I. Žliobaité, "Guest Editors introduction: special issue of the ECMLPKDD 2015 journal track", Data Mining and Knowledge Discovery, vol. 29, pp. 1113–1115, 2015.
Bielza, C., J. Gama, A. Jorge, and I. Žliobaité, "Guest Editors introduction: special issue of the ECMLPKDD 2015 journal track", Machine Learning, vol. 100, pp. 157–159, 2015.
Borchani, H., G. Varando, C. Bielza, and P. Larrañaga, "A survey on multi-output regression", WIREs Data Mining and Knowledge Discovery, vol. 5, pp. 216--233, 2015.
Ibañez, A., R. Armañanzas, C. Bielza, and P. Larrañaga, "Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices", Journal of the American Society for Information Science and Technology, vol. 67, issue 7, pp. 1703–1721, 2015.
Karshenas, H., C. Bielza, and P. Larrañaga, "Interval-based ranking in noisy evolutionary multi-objective optimization", Computational Optimization and Applications, vol. 61, issue 2, pp. 517-555, 2015.
Krallinger, M., O. Rabal, F. Leitner, and et. al., "The CHEMDNER corpus of chemicals and drugs and its annotation principles", Journal of Chemoinformatics, vol. 7, no. Suppl 1, pp. S2, 2015.
Krallinger, M., F. Leitner, and O. Rabal, "CHEMDNER: The drugs and chemical names extraction challenge", Journal of Chemoinformatics, vol. T, no. Suppl 1, pp. S1, 2015.
Larrañaga, A., C. Bielza, P. Pongrácz, T. Faragó, P. Bálint, and P. Larrañaga, "Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking", Animal Cognition, vol. 18, no. 2, pp. 405-421, 2015.
Lopez-Cruz, P. L., C. Bielza, and P. Larrañaga, "Directional naive Bayes classifiers", Pattern Analysis and Applications, vol. 18, pp. 225-246, 2015.
Luengo-Sanchez, S., C. Bielza, R. Benavides-Piccione, I. Fernaud-Espinosa, J. DeFelipe, and P. Larrañaga, "A univocal definition of the neuronal soma morphology using Gaussian mixture models", Frontiers in Neuroanatomy, vol. 9, issue 137, 2015.
Masegosa, A., R. Armañanzas, M. A. Grau, V. Potenciano, S. Moral, P. Larrañaga, C. Bielza, and F. Matesanz, "Discretization of Expression Quantitative Trait Loci in Association Analysis Between Genotypes and Expression Data", Current Bioinformatics, vol. 10, no. 2, pp. 144-164, 2015.
Mihaljevic, B., R. Benavides-Piccione, C. Bielza, J. DeFelipe, and P. Larrañaga, "Bayesian network classifiers for categorizing cortical GABAergic interneurons", Neuroinformatics, vol. 13, no. 2, pp. 192–208, April, 2015.
Mihaljevic, B., R. Benavides-Piccione, L. Guerra, J. DeFelipe, P. Larrañaga, and C. Bielza, "Classifying GABAergic interneurons with semi-supervised projected model-based clustering", Artificial Intelligence in Medicine, vol. 65, issue 1, pp. 49-59, 2015.
Olazarán, J., M. Valentí, B. Frades, M. Ascensión Zea-Sevilla, M. Ávila-Villanueva, M. Ángel Fernández-Blázquez, M. Calero, J. Luis Dobato, J. Antonio Hernández-Tamames, B. León-Salas, L. Agüera-Ortiz, J. López-Álvarez, P. Larrañaga, C. Bielza, J. Álvarez-Linera, and P. Martínez-Martín, "The Vallecas Project: a cohort to identify early markers and mechanisms of Alzheimer’s disease", Frontiers in Aging Neuroscience, vol. 7, pp. 181, 2015.
Varando, G., P. L. Lopez-Cruz, T. D. Nielsen, P. Larrañaga, and C. Bielza, "Conditional density approximations with mixtures of polynomials", International Journal of Intelligent Systems, vol. 30, no. 3, pp. 236–264, 2015.
Varando, G., C. Bielza, and P. Larrañaga, "Decision Boundary for Discrete Bayesian Network Classifiers", Journal of Machine Learning Research, vol. 16, pp. 2725-2749, 2015.
2014
Anton-Sanchez, L., C. Bielza, A. Merchán-Pérez, J. R. Rodríguez, J. DeFelipe, and P. Larrañaga, "Three-dimensional distribution of cortical synapses: a replicated point pattern-based analysis", Frontiers in Neuroanatomy, vol. 8, pp. Article 85, 2014, Also available in the ebook: http://www.frontiersin.org/books/Quantitative_Analysis_of_Neuroanatomy/829.
Bielza, C., and P. Larrañaga, "Bayesian networks in neuroscience: A survey", Frontiers in Computational Neuroscience, vol. 8, pp. Article 131, 2014.
Bielza, C., R. Benavides-Piccione, P. L. Lopez-Cruz, P. Larrañaga, and J. DeFelipe, "Branching angles of pyramidal cell dendrites follow common geometrical design principles in different cortical areas", Scientific Reports, vol. 4, pp. Article 5909, 2014.
Bielza, C., and P. Larrañaga, "Discrete Bayesian Network Classifiers: A Survey", ACM Computing Surveys, vol. 47, no. 1, pp. Article 5, 2014.
Borchani, H., C. Bielza, P. Martínez-Martín, and P. Larrañaga, "Predicting EQ-5D from the Parkinson’s disease questionnaire PDQ-8 using multi-dimensional Bayesian network classifiers", Biomedical Engineering: Applications, Basis and Communications, vol. 26, no. 1, pp. 1450015, 2014.
Guerra, L., C. Bielza, V. Robles, and P. Larrañaga, "Semi-supervised projected model-based clustering", Data Mining and Knowledge Discovery, vol. 28, no. 4, pp. 882-917, 2014.
Ibañez, A., C. Bielza, and P. Larrañaga, "Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals", Neurocomputing, vol. 135, no. 5, pp. 45-52, 2014.
Karshenas, H., R. Santana, C. Bielza, and P. Larrañaga, "Multi-objective estimation of distribution algorithm based on joint modeling of objectives and variables", IEEE Transactions on Evolutionary Computation, vol. 18, no. 4, pp. 519-542, 2014.
Lopez-Cruz, P. L., P. Larrañaga, , and C. Bielza, "Bayesian network modeling of the consensus between experts: An application to neuron classification", International Journal of Approximate Reasoning, vol. 55, no. 1, pp. 3-22, 2014.
Lopez-Cruz, P. L., C. Bielza, and P. Larrañaga, "Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation", International Journal of Approximate Reasoning, vol. 55, no. 4, pp. 989–1010, 2014.
Merchán-Pérez, A., R. Rodríguez, S. González, V. Robles, J. DeFelipe, P. Larrañaga, and C. Bielza, "Three-dimensional spatial distribution of synapses in the neocortex: A dual-beam electron microscopy study", Cerebral Cortex, vol. 24, pp. 1579-1588, 2014.
Mihaljevic, B., C. Bielza, R. Benavides-Piccione, J. DeFelipe, and P. Larrañaga, "Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty", Frontiers in Computional Neuroscience, vol. 8, pp. Article 150, 2014.
Morales, J., R. Benavides-Piccione, M. Dar, I. Fernaud, A. Rodríguez, L. Anton-Sanchez, C. Bielza, P. Larrañaga, J. DeFelipe, and R. Yuste, "Random positions of dendritic spines in human cerebral cortex", Journal of Neuroscience, vol. 34, no. 30, pp. 10078-10084, 2014.
Read, J., C. Bielza, and P. Larrañaga, "Multi-dimensional classification with super-classes", IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 7, pp. 1720-1733, 2014.
Sucar, E., C. Bielza, E. F. Morales, P. Hernandez-Leal, J. H. Zaragoza, and P. Larrañaga, "Multi-label Classification with Bayesian Network-based Chain Classifiers", Pattern Recognition Letters, vol. 41, pp. 14-22, 2014.
2013
Armañanzas, R., L. Alonso-Nanclares, J. DeFelipe, A. Kastanauskaite, R. G. de Sola, J. DeFelipe, C. Bielza, and P. Larrañaga, "Machine learning approach for the outcome prediction of temporal lobe epilepsy surgery", PLoS ONE, vol. 8, no. 4, pp. e62819, 2013.
Armañanzas, R., C. Bielza, K. R. Chaudhuri, P. Martínez-Martín, and P. Larrañaga, "Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach", Artificial Intelligence in Medicine, vol. 58, no. 3, pp. 195-202, 2013.
Bielza, C., J. A. Fernandez del Pozo, and P. Larrañaga, "Parameter control of genetic algorithms by learning and simulation of Bayesian Networks. A case study for the optimal ordering of tables", Journal of Computer Science and Technology, vol. 28, no. 4, pp. 720-731, 2013.
Borchani, H., C. Bielza, , and P. Larrañaga, "Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers", Artificial Intelligence in Medicine, vol. 57, no. 3, pp. 219-229, 2013.
DeFelipe, J., P. L. Lopez-Cruz, R. Benavides-Piccione, C. Bielza, P. Larrañaga, and et. al., "New insights into the classification and nomenclature of cortical GABAergic interneurons", Nature Reviews Neuroscience, vol. 14, no. 3, pp. 202-216, 2013.
Flores, J. L., I. Inza, P. Larrañaga, and B. Calvo, "A new measure for gene expression biclustering based on non-parametric correlation", Computer Methods and Programs in Biomedicine, vol. 113, no. 3, pp. 367-397, 2013.
García-Torres, M., R. Armañanzas, C. Bielza, and P. Larrañaga, "Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data", Information Sciences, vol. 222, pp. 229-246, 2013.
Ibañez, A., P. Larrañaga, and C. Bielza, "Cluster methods for assessing research performance: exploring Spanish computer science", Scientometrics, vol. 97, pp. 571-600, 2013.
Ibañez, A., C. Bielza, and P. Larrañaga, "Análisis de la actividad científica de las universidades públicas españolas en el área de las tecnologías informáticas", Revista Española de Documentación Científica, vol. 36, no. 1, pp. e002, 2013.
Ibañez, A., C. Bielza, and P. Larrañaga, "Relationship among research collaboration, number of documents and number of citations. A case study in Spanish computer science production in 2000-2009", Scientometrics, vol. 95, no. 2, pp. 689-716, 2013.
Karshenas, H., R. Santana, C. Bielza, and P. Larrañaga, "Regularized continuous estimation of distribution algorithms", Applied Soft Computing, vol. 13, no. 5, pp. 2412–2432, 2013.
Larrañaga, P., H. Karshenas, C. Bielza, and R. Santana, "A review on evolutionary algorithms in Bayesian network learning and inference tasks", Information Sciences, vol. 233, pp. 109-125, 2013.
Morales, D., Y. Vives-Gilabert, B. Gómez-Ansón, E. Bengoetxea, P. Larrañaga, C. Bielza, J. Pagonabarraga, J. Kulisevsky, I. Corcuera-Solano, and M. Delfino, "Predicting dementia development in Parkinson's disease using Bayesian network classifiers", Psychiatry Research: NeuroImaging, vol. 213, pp. 92-98, 2013.
Santana, R., R. Armañanzas, C. Bielza, and P. Larrañaga, "Network measures for information extraction in evolutionary algorithms", International Journal of Computational Intelligence Systems, vol. 6, no. 6, pp. 1163-1188, 2013.
Santana, R., L. McGarry, C. Bielza, P. Larrañaga, and R. Yuste, "Classification of neocortical interneurons using affinity propagation", Frontiers in Neural Circuits, vol. 7:185, 2013.
Vidaurre, D., C. Bielza, and P. Larrañaga, "An L1-regularized naive Bayes-inspired classifier for discarding redundant and irrelevant predictors", International Journal on Artificial Intelligence Tools, vol. 22, no. 4, pp. 1350019, 2013.
Vidaurre, D., C. Bielza, and P. Larrañaga, "A survey on L1-regression", International Statistical Review, vol. 81, no. 3, pp. 361-387, 2013.
Vidaurre, D., C. Bielza, and P. Larrañaga, "Classification of neural signals from sparse autoregressive features", Neurocomputing, vol. 111, pp. 21-26, 2013.
Vidaurre, D., C. Bielza, and P. Larrañaga, "Sparse regularized local regression", Computational Statistics and Data Analysis, vol. 62, pp. 122-135, 2013.
Vidaurre, D., M. van Gerven, C. Bielza, P. Larrañaga, and T. Heskes, "Bayesian sparse partial least squares", Neural Computation, vol. 25, no. 12, pp. 3318–3339, 2013.
2012
Armañanzas, R., P. Larrañaga, and C. Bielza, "Ensemble transcript interaction networks: A case study on Alzheimer's disease", Computer Methods and Programs in Biomedicine, vol. 108, no. 1, pp. 442-450, 2012.
Borchani, H., C. Bielza, P. Martínez-Martín, and P. Larrañaga, "Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: An application to predict the European Quality of Life-5Dimensions (EQ-5D) from the 39-item Parkinson's Disease Questionnaire (PDQ-39)", Journal of Biomedical Informatics, vol. 45, pp. 1175-1184, 2012.
Calvo, B., I. Inza, P. Larrañaga, and J. A. Lozano, "Wrapper positive Bayesian network classifiers", Knowledge and Information Systems, vol. 33, no. 3, pp. 631-654, 2012.
Dueñas, M., M. Santos, F. J. F. J Aranda, C. Bielza, A. B. Martínez-Cruz, C. Lorz, M. Taron, E. M. Ciruelos, J. L. Rodríguez-Peralto, M. Martín, P. Larrañaga, J. Dahabreh, G. P. Stathopoulos, R. Rosell, J. M. Paramio, and R. García-Escudero, "Mouse p53-deficient cancer models as platforms for obtaining genomic predictors of human cancer clinical outcomes", PLoS One, vol. 7, no. 8, pp. e42494, 2012.
García-Bilbao, A., R. Armañanzas, Z. Ispizua, B. Calvo, A. Alonso-Varona, I. Inza, P. Larrañaga, G. López-Vivanco, B. Suárez-Merino, and M. Betanzos, "Identification of a biomarker panel for colorectal cancer diagnosis", BMC Cancer, vol. 12, no. 43, 2012.
Guerra, L., V. Robles, C. Bielza, and P. Larrañaga, "A comparison of clustering quality indices using outliers and noise", Intelligent Data Analysis, vol. 16, no. 4, pp. 703-715, 2012.
Larrañaga, P., H. Karshenas, C. Bielza, and R. Santana, "A review on probabilistic graphical models in evolutionary computation", Journal of Heuristics, vol. 18, no. 5, pp. 795-819, 2012.
Maojo, V., M. Garcia-Remesal, C. Bielza, J. Crespo, D. Perez-Rey, and C. Kulikowski, "Biomedical Informatics Publications: A Global Perspective. Part II: Journals", Methods of Information in Medicine, vol. 51, no. 2, pp. 131-137, 2012.
Maojo, V., M. Garcia-Remesal, C. Bielza, J. Crespo, D. Perez-Rey, and C. Kulikowski, "Biomedical Informatics Publications: A Global Perspective. Part I: Conferences", Methods of Information in Medicine, vol. 51, no. 1, pp. 82-90, 2012.
Santana, R., C. Bielza, and P. Larrañaga, "Regularized logistic regression and multi-objective variable selection for classifying MEG data", Biological Cybernetics, vol. 106, no. 6-7, pp. 389-405, 2012.
Santana, R., C. Bielza, and P. Larrañaga, "Conductance interaction identification by means of Boltzmann distribution and mutual information analysis in conductance-based neuron models", BMC Neuroscience, vol. 13, no. Suppl 1, pp. P100, 2012.
Vidaurre, D., C. Bielza, and P. Larrañaga, "Lazy lasso for local regression", Computational Statistics, vol. 27, no. 3, pp. 531-550, 2012.
Vidaurre, D., E. E. Rodríguez, C. Bielza, P. Larrañaga, and P. Rudomin, "A new feature extraction method for signal classification applied to cat spinal cord signals", Journal of Neural Engineering, vol. in press, 2012.
2011
Armañanzas, R., Y. Saeys, I. Inza, M. Garca-Torres, C. Bielza, Y. van de Peer, and P. Larrañaga, "Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. 3, pp. 760-774, 2011.
Bengoetxea, E., P. Larrañaga, C. Bielza, and J. A. Fernandez del Pozo, "Optimal Row and Column Ordering to Improve Table Interpretation Using Estimation of Distribution Algorithms", Journal of Heuristics, vol. 17, no. 5, pp. 567-588, 2011.
Bielza, C., M. Gómez, and P. Shenoy, "A Review of Representation Issues and Modelling Challenges with Influence Diagrams", Omega -The International Journal of Management Science, vol. 39, pp. 227-241, 2011.
Bielza, C., G. Li, and P. Larrañaga, "Multi-Dimensional Classification with Bayesian Networks", International Journal of Approximate Reasoning, vol. 52, pp. 705-727, 2011.
Bielza, C., V. Robles, and P. Larrañaga, "Regularized Logistic Regression without a Penalty Term: An Application to Cancer Classification with Microarray Data", Expert Systems with Applications, vol. 38, pp. 5110-5118, 2011.
Borchani, H., P. Larrañaga, and C. Bielza, "Classifying evolving data streams with partially labeled data", Intelligent Data Analysis, vol. 15, no. 5, pp. 655-670, 2011.
Fernandez del Pozo, J. A., and C. Bielza, "Dealing with Complex Queries in Decision Support Systems", Data {&} Knowledge Engineering, vol. 70, pp. 167-181, 2011.
Guerra, L., L. McGarry, V. Robles, C. Bielza, P. Larrañaga, and R. Yuste, "Comparison between Supervised and Unsupervised Classification of Neuronal Cell Types: A Case Study", Developmental Neurobiology, vol. 71, no. 1, pp. 71-82, 2011.
Ibañez, A., P. Larrañaga, and C. Bielza, "Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals", Scientometrics, vol. 89, no. 2, pp. 523-551, 2011.
Larrañaga, P., and S. Moral, "Probabilistic graphical models in artificial intelligence", Applied Soft Computing, vol. 11, no. 2, pp. 1511-1528, 2011.
Lopez-Cruz, P. L., C. Bielza, P. Larrañaga, R. Benavides-Piccione, and J. DeFelipe, "Models and simulation of 3D neuronal dendritic trees using Bayesian networks", Neuroinformatics, vol. 9, no. 4, pp. 347-369, 2011.
Santana, R., C. Bielza, and P. Larrañaga, "Optimizing brain networks topologies using multi-objective evolutionary computation", Neuroinformatics, vol. 9, no. 1, pp. 3-19, 2011.
Vidaurre, D., C. Bielza, and P. Larrañaga, "On nonlinearity in neural encoding models applied to the primary visual cortex", Network: Computation in Neural Systems, vol. 22, no. 1-4, pp. 97-125, 2011.
Vidaurre, D., C. Bielza, and P. Larrañaga, "Forward Stagewise Naive Bayes", Progress in Artificial Intelligence, vol. In press, 2011.
2010
Bielza, C., M. Gómez, and P. Shenoy, "Modelling Challenges with Influence Diagrams: Constructing Probability and Utility Models", Decision Support Systems, vol. 49, pp. 354-364, 2010.
Bielza, C., J. A. Fernandez del Pozo, P. Larrañaga, and E. Bengoetxea, "Multidimensional Statistical Analysis of the Parameterization of a Genetic Algorithm for the Optimal Ordering of Tables", Expert Systems with Applications, vol. 37, pp. 804-815, 2010.
Cuesta, I., C. Bielza, M. Cuenca-Estrella, P. Larrañaga, and J. L. Rodriguez-Tudela, "Evaluation by Data Mining Techniques of Fluconazole Breakpoints Established by the Clinical and Laboratory Standards Institute (CLSI) and Comparison with those of the European Committee on Antimicrobial Susceptibility Testing (EUCAST)", Antimicrobial Agents and Chemotherapy, vol. 54, no. 4, pp. 1541-1546, 2010.
Santana, R., P. Larrañaga, and J. A. Lozano, "Learning factorizations in estimation of distribution algorithms using affinity propagation", Evolutionary Computation, vol. in press, 2010.
Santana, R., C. Bielza, P. Larrañaga, J. A. Lozano, C. Echegoyen, A. Mendiburu, R. Armañanzas, and S. Shakya, "MATEDA-2.0: A Matlab Package for the Implementation and Analysis of Estimation of Distribution Algorithms", Journal of Statistical Software, vol. 35, no. 7, pp. 1-30, 2010.
Vidaurre, D., C. Bielza, and P. Larrañaga, "Learning an L1-regularized Gaussian Bayesian Network in the Equivalence Class Space", IEEE Transactions on Systems, Man and Cybernetics, Part B, vol. 40, no. 5, pp. 1231-1242, 2010.
2009
Armañanzas, R., B. Calvo, I. Inza, M. López-Hoyos, V. Martínez-Taboada, E. Ucar, I. Bernales, A. Fullaondo, P. Larrañaga, and A. M. Zubiaga, "Microarray analysis of autoimmune diseases by machine learning procedures", IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 3, pp. 341-350, 2009.
Bielza, C., V. Robles, and P. Larrañaga, "Estimation of Distribution Algorithms as Logistic Regression Regularizers of Microarray Classifiers", Methods of Information in Medicine, vol. 48, no. 3, pp. 236-241, 2009.
Correa, M., C. Bielza, and J. Pamies-Teixeira, "Comparison of Bayesian Networks and Artificial Neural Networks for Quality Detection in a Machining Process", Expert Systems with Applications, vol. 36, pp. 7270-7279, 2009.
Cuesta, I., C. Bielza, P. Larrañaga, M. Cuenca-Estrella, F. Laguna, D. Rodríguez-Pardo, B. Almirante, A. Pahissa, and J. L. Rodriguez-Tudela, "Data Mining Validation of EUCAST Fluconazole Breakpoints Established by the European Committee on Antimicrobial Susceptibility Testing", Antimicrobial Agents and Chemotherapy, vol. 53, no. 7, pp. 2949-2954, 2009.
Ibañez, A., P. Larrañaga, and C. Bielza, "Predicting Citation Count of Bioinformatics Papers within Four Years of Publication", Bioinformatics, vol. 25, no. 24, pp. 3303-3309, 2009.
Pérez, A., P. Larrañaga, and I. Inza, "Bayesian classifiers based on kernel estimation: Flexible classifiers", International Journal of Approximate Reasoning, vol. 50, no. 2, pp. 341-362, 2009.
Romero, T., and P. Larrañaga, "Triangulation of Bayesian networks with recursive estimation of distribution algorithms", International Journal of Approximate Reasoning, vol. 50, no. 3, pp. 472-484, 2009.
2008
Armañanzas, R., I. Inza, and P. Larrañaga, "Detecting reliable gene interactions by a hierarchy of Bayesian networks classifiers", Computer Methods and Programs in Biomedicine, vol. 91, pp. 110-121, 2008.
Bielza, C., J. A. Fernandez del Pozo, and P. Lucas, "Explaining Clinical Decisions by Extracting Regularity Patterns", Decision Support Systems, vol. 44, pp. 397-408, 2008.
Correa, M., C. Bielza, M. J. Ramírez, and J. R. Alique, "A Bayesian Network Model for Surface Roughness Prediction in the Machining Process", International Journal of Systems Science, vol. 39, no. 12, pp. 1181-1192, 2008.
Furney, S. J., B. Calvo, P. Larrañaga, J. A. Lozano, and N. López-Bigas, "Prioritization of candidate cancer genes-an aid to oncogenomic studies", Nucleic Acids Research, pp. 1-9, 2008.
Morales, D., E. Bengoetxea, and P. Larrañaga, "Selection of human embryos for transfer by Bayesian classifiers", Computer in Biology and Medicine, vol. 38, pp. 1177-1186, 2008.
Morales, D., E. Bengoetxea, P. Larrañaga, M. Garca, Y. Franco-Iriarte, M. Fresnada, and M. Merino, "Bayesian classification for the selection of in-vitro human embryos using morphological and clinical data", Computer Methods and Programs in Biomedicine, no. 90, pp. 104-116, 2008.
Robles, V., C. Bielza, P. Larrañaga, S. González, and L. Ohno-Machado, "Optimizing Logistic Regression Coefficients for Discrimination and Calibration Using Estimation of Distribution Algorithms", TOP, vol. 16, pp. 345-366, 2008.
Santafé, G., J. A. Lozano, and P. Larrañaga, "Inference of population structure using genetic markers and a Bayesian model averaging approach for clustering", Journal of Computational Biology, vol. 15, no. 2, pp. 207-220, 2008.
Santana, R., P. Larrañaga, and J. A. Lozano, "Combining variable neighborhood search and estimation of distribution algorithms", Journal of Heuristics, vol. 14, pp. 519-547, 2008.
Santana, R., J. A. Lozano, and P. Larrañaga, "Protein folding in simplified models with estimation of distribution algorithms", IEEE Transactions on Evolutionary Computation, vol. 12, no. 4, pp. 418-438, 2008.
Zipritia, I., J. Elorriaga, A. Arruarte, P. Larrañaga, and R. Armañanzas, "What is behind a summary evaluation decision?", Behavior Research Methods, vol. 2, no. 40, pp. 597-612, 2008.
2007
Calvo, B., N. López-Bigas, S. J. Furney, P. Larrañaga, and J. A. Lozano, "A partially supervised approach to dominant and recessive human disease gene prediction", Computer Methods and Programs in Biomedicine, vol. 85, no. 3, pp. 229-237, 2007.
Calvo, B., J. A. Lozano, and P. Larrañaga, "Learning Bayesian classifiers from positive and unlabeled examples", Pattern Recognition Letters, vol. 28, no. 16, pp. 2375-2384, 2007.
Flores, J. L., I. Inza, and P. Larrañaga, "Wrapper discretization by means of estimation of distribution algorithms", Intelligent Data Analysis Journal, vol. 11, no. 5, pp. 525-546, 2007.
Gómez, M., C. Bielza, J. A. Fernandez del Pozo, and S. Ríos-Insua, "A Graphical Decision-Theoretic Model for Neonatal Jaundice", Medical Decision Making, vol. 27, no. 3, pp. 250-265, 2007.
Miquelez, T., E. Bengoetxea, A. Mendiburu, and P. Larrañaga, "Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains", Connection Science, vol. 19, no. 4, pp. 297-319, 2007.
Saeys, Y., I. Inza, and P. Larrañaga, "A review of feature selection techniques in bioinformatics", Bioinformatics, vol. 23, no. 19, pp. 2507-2517, 2007.
Santana, R., P. Larrañaga, and J. A. Lozano, "Side chain placement using estimation of distribution algorithms", Artificial Intelligence in Medicine, vol. 39, no. 1, pp. 49-63, 2007.
2006
Ballestero, E., C. Bielza, and D. Pla-Santamaría, "A Decision Approach to Competitive Electronic Sealed-Bid Auctions for Land", Journal of the Operational Research Society, vol. 57, pp. 1126-1133, 2006.
Larrañaga, P., B. Calvo, R. Santana, C. Bielza, J. Galdiano, I. Inza, J. A. Lozano, R. Armañanzas, G. Santafé, and A. Pérez, "Machine Learning in Bioinformatics", Briefings in Bioinformatics, vol. 17, no. 1, pp. 86-112, 2006.
Pérez, A., P. Larrañaga, and I. Inza, "Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes", International Journal of Approximate Reasoning, vol. 43, pp. 1-25, 2006.
Santafé, G., J. A. Lozano, and P. Larrañaga, "Bayesian model averaging of naive Bayes for clustering", IEEE Transactions on Systems, Man, and Cybernetics, vol. 36, no. 5, pp. 1149-1161, 2006.
2004
Blanco, R., P. Larrañaga, I. Inza, and B. Sierra, "Gene selection for cancer classification using wrapper approaches", International Journal of Pattern Recognition and Artificial Intelligence, vol. 18, no. 8, pp. 1373-1390, 2004.
Gómez, M., and C. Bielza, "Node Deletion Sequences in Influence Diagrams Using Genetic Algorithms", Statistics {&} Computing, vol. 14, no. 3, pp. 181-198, 2004.
Inza, I., P. Larrañaga, R. Blanco, and A. J. Cerrolaza, "Filter versus wrapper gene selection approaches in DNA microarray domains", Artificial Intelligence in Medicine, no. 31, pp. 91-103, 2004.
Larrañaga, P., E. Menasalvas, J. M. Peña, and V. Robles, "Data mining in genomics and proteomics", Artificial Intelligence in Medicine, no. 31, pp. iii-iv, 2004.
Miquelez, T., E. Bengoetxea, and P. Larrañaga, "Evolutionary computation based on Bayesian classifiers", International Journal of Applied Mathematics and Computer Science, vol. 14, no. 3, pp. 101–115, 2004.
Owodunni, O. O., J. Diaz-Rozo, and S. Hinduja, "Development and Evaluation of a Low-Cost Computer Controlled Reconfigurable Rapid Tool", Computer-Aided Design and Applications, vol. 1, issue 1-4, pp. 101--108, 2004.
Peña, J. M., J. A. Lozano, and P. Larrañaga, "Unsupersived learning of Bayesian networks via estimation of distribution algorithms: an application to gene expression data clustering", International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 12, pp. 63-82, 2004.
Robles, V., P. Larrañaga, J. M. Peña, E. Menasalvas, M. S. Pérez, and V. Herves, "Bayesian networks as consensed voting system in the construction of a multi–classifier for protein secondary structure prediction", Artificial Intelligence in Medicine, no. 31, pp. 117–136, 2004.
Romero, T., P. Larrañaga, and B. Sierra, "Learning Bayesian networks in the space of orderings with estimation of distribution algorithms", International Journal of Pattern Recognition and Artificial Intelligence, vol. 18, no. 4, pp. 607–625, 2004.
2003
Ballestero, E., J. M. Antón, and C. Bielza, "Compromise-Based Approach to Road Project Selection in Madrid Metropolitan Area", Journal of the Operations Research Society of Japan, vol. 46, no. 1, pp. 99-122, 2003.
Bielza, C., P. Barreiro, M. I. Rodríguez-Galiano, and J. Martín, "Logistic Regression for Simulating Damage Occurrence on a Fruit Grading Line", Computers {&} Electronics in Agriculture, vol. 38, no. 2, pp. 95-113, 2003.
Blanco, R., I. Inza, and P. Larrañaga, "Learning Bayesian networks in the space of structures by estimation of distribution algorithms", International Journal of Intelligent Systems, vol. 18, pp. 205-220, 2003.
1999
Bielza, C., and P. P. Shenoy, "A Comparison of Graphical Techniques for Asymmetric Decision Problems", Management Science, vol. 45, no. 11, 1999.
Bielza, C., P. Müller, and D. Ríos Insua, "Decision Analysis by Augmented Probability Simulation", Management Science, vol. 45, no. 7, pp. 995-1007, 1999.
Inza, I., P. Larrañaga, B. Sierra, R. Etxeberria, J. A. Lozano, and J. M. Peña, "Representing the behaviour of supervised classification learning algorithms by Bayesian networks", Pattern Recognition Letters, vol. 20, no. 11-13, pp. 1201-1209, 1999.
Larrañaga, P., C. M. H. Kuijpers, R. H. Murga, I. Inza, and S. Dizdarevich, "Genetic algorithms for the travelling salesman problem: A review of representations and operators", Artificial Intelligence Review, vol. 13, pp. 129-170, 1999.
Lozano, J. A., P. Larrañaga, M. Graña, and F. X. Albizuri, "Genetic algorithms: bridging the convergence gap", Theoretical Computer Science, vol. 229, pp. 11-22, 1999.
Lozano, J. A., and P. Larrañaga, "Applying genetic algorithms to search for the best hierarchical clustering of a dataset", Pattern Recognition Letters, vol. 20, no. 9, pp. 911-918, 1999.
Peña, J. M., J. A. Lozano, and P. Larrañaga, "An empirical comparison of four initialization methods for the k-means algorithm", Pattern Recognition Letters, vol. 20, pp. 1027-1040, 1999.
Peña, J. M., J. A. Lozano, and P. Larrañaga, "Learning Bayesian networks for clustering by means of constructive induction", Pattern Recognition Letters, vol. 20, no. 11-13, pp. 1219-1230, 1999.
1998
Sierra, B., and P. Larrañaga, "Predicting the survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches", Artificial Intelligence in Medicine, vol. 14, no. 1-2, pp. 215-230, 1998.
Vidakovic, B., and C. Bielza Lozoya, "On Time-Dependent Wavelet Denoising", IEEE Transactions on Signal Processing, vol. 46, no. 9, pp. 2549-2554, 1998.
1996
Larrañaga, P., C. M. H. Kuijpers, R. H. Murga, and Y. Yurramendi, "Learning Bayesian network structures by searching for the best ordering with genetic algorithms", IEEE Transactions on System, Man and Cybernetics. Part A: Systems and Humans, vol. 26, no. 4, pp. 487-493, 1996.
Larrañaga, P., M. Poza, Y. Yurramendi, R. H. Murga, and C. M. H. Kuijpers, "Structure learning of Bayesian networks by genetic algorithms: A performance analysis of control parameters", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 9, pp. 912-926, 1996.