| 2010 | ||
|---|---|---|
| 90 | Concha Bielza, Juan A. Fernández del Pozo, Pedro Larrañaga, Endika Bengoetxea: Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables. Expert Syst. Appl. 37(1): 804-815 (2010) | |
| 2009 | ||
| 89 | Roberto Santana, Concha Bielza, José Antonio Lozano, Pedro Larrañaga: Mining probabilistic models learned by EDAs in the optimization of multi-objective problems. GECCO 2009: 445-452 | |
| 88 | Elva Díaz, Eunice Ponce de Leon, Pedro Larrañaga, Concha Bielza: Probabilistic Graphical Markov Model Learning: An Adaptive Strategy. MICAI 2009: 225-236 | |
| 87 | Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza: Bayesian classifiers based on kernel density estimation: Flexible classifiers. Int. J. Approx. Reasoning 50(2): 341-362 (2009) | |
| 86 | Txomin Romero, Pedro Larrañaga: Triangulation of Bayesian networks with recursive estimation of distribution algorithms. Int. J. Approx. Reasoning 50(3): 472-484 (2009) | |
| 85 | Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Research topics in discrete estimation of distribution algorithms based on factorizations. Memetic Computing 1(1): 35-54 (2009) | |
| 84 | Borja Calvo, Pedro Larrañaga, José Antonio Lozano: Feature subset selection from positive and unlabelled examples. Pattern Recognition Letters 30(11): 1027-1036 (2009) | |
| 2008 | ||
| 83 | Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Component weighting functions for adaptive search with EDAs. IEEE Congress on Evolutionary Computation 2008: 4066-4073 | |
| 82 | Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs. PPSN 2008: 1120-1129 | |
| 81 | Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Adaptive Estimation of Distribution Algorithms. Adaptive and Multilevel Metaheuristics 2008: 177-197 | |
| 80 | Carlos Echegoyen, Roberto Santana, José Antonio Lozano, Pedro Larrañaga: The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks. Linkage in Evolutionary Computation 2008: 109-139 | |
| 79 | Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, Jose Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga: A review of estimation of distribution algorithms in bioinformatics. BioData Mining 1: (2008) | |
| 78 | Dinora Araceli Morales, Endika Bengoetxea, Pedro Larrañaga, Miguel García, Yosu Franco, Mónica Fresnada, Marisa Merino: Bayesian classification for the selection of in vitro human embryos using morphological and clinical data. Computer Methods and Programs in Biomedicine 90(2): 104-116 (2008) | |
| 77 | Rubén Armañanzas, Iñaki Inza, Pedro Larrañaga: Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers. Computer Methods and Programs in Biomedicine 91(2): 110-121 (2008) | |
| 76 | Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Protein Folding in Simplified Models With Estimation of Distribution Algorithms. IEEE Trans. Evolutionary Computation 12(4): 418-438 (2008) | |
| 75 | Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem. J. Heuristics 14(5): 519-547 (2008) | |
| 74 | Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga: Inference of Population Structure Using Genetic Markers and a Bayesian Model Averaging Approach for Clustering. Journal of Computational Biology 15(2): 207-220 (2008) | |
| 2007 | ||
| 73 | Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga: Discriminative vs. Generative Learning of Bayesian Network Classifiers. ECSQARU 2007: 453-464 | |
| 72 | Roberto Santana, Pedro Larrañaga, José Antonio Lozano: The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms. EvoBIO 2007: 247-257 | |
| 71 | Carlos Echegoyen, José Antonio Lozano, Roberto Santana, Pedro Larrañaga: Exact Bayesian network learning in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2007: 1051-1058 | |
| 70 | Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Side chain placement using estimation of distribution algorithms. Artificial Intelligence in Medicine 39(1): 49-63 (2007) | |
| 69 | Yvan Saeys, Iñaki Inza, Pedro Larrañaga: A review of feature selection techniques in bioinformatics. Bioinformatics 23(19): 2507-2517 (2007) | |
| 68 | Borja Calvo, Núria López-Bigas, Simon J. Furney, Pedro Larrañaga, José Antonio Lozano: A partially supervised classification approach to dominant and recessive human disease gene prediction. Computer Methods and Programs in Biomedicine 85(3): 229-237 (2007) | |
| 67 | Teresa Miquélez, Endika Bengoetxea, Alexander Mendiburu, Pedro Larrañaga: Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains. Connect. Sci. 19(4): 297-319 (2007) | |
| 66 | Jose Luis Flores, Iñaki Inza, Pedro Larrañaga: Wrapper discretization by means of estimation of distribution algorithms. Intell. Data Anal. 11(5): 525-545 (2007) | |
| 65 | Borja Calvo, Pedro Larrañaga, José Antonio Lozano: Learning Bayesian classifiers from positive and unlabeled examples. Pattern Recognition Letters 28(16): 2375-2384 (2007) | |
| 2006 | ||
| 64 | Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza: Information Theory and Classification Error in Probabilistic Classifiers. Discovery Science 2006: 347-351 | |
| 63 | Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Mixtures of Kikuchi Approximations. ECML 2006: 365-376 | |
| 62 | Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga: Bayesian Model Averaging of TAN Models for Clustering. Probabilistic Graphical Models 2006: 271-278 | |
| 61 | Teresa Miquélez, Endika Bengoetxea, Pedro Larrañaga: Evolutionary Bayesian Classifier-Based Optimization in Continuous Domains. SEAL 2006: 529-536 | |
| 60 | Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles: Machine learning in bioinformatics. Briefings in Bioinformatics 7(1): 86-112 (2006) | |
| 59 | Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza: Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes. Int. J. Approx. Reasoning 43(1): 1-25 (2006) | |
| 2005 | ||
| 58 | Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Interactions and dependencies in estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 1418-1425 | |
| 57 | Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga: Discriminative Learning of Bayesian Network Classifiers via the TM Algorithm. ECSQARU 2005: 148-160 | |
| 56 | C. González, A. Ramírez, José Antonio Lozano, Pedro Larrañaga: Average Time Complexity of Estimation of Distribution Algorithms. IWANN 2005: 42-49 | |
| 55 | Pedro Larrañaga, José Antonio Lozano: Editorial Introduction Special Issue on Estimation of Distribution Algorithms. Evolutionary Computation 13(1): (2005) | |
| 54 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks. Evolutionary Computation 13(1): 43-66 (2005) | |
| 53 | Rosa Blanco, Iñaki Inza, Marisa Merino, Jorge Quiroga, Pedro Larrañaga: Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS. Journal of Biomedical Informatics 38(5): 376-388 (2005) | |
| 52 | Pedro Larrañaga, José Antonio Lozano, José Manuel Peña, Iñaki Inza: Editorial. Machine Learning 59(3): 211-212 (2005) | |
| 51 | Roberto Marcondes Cesar Junior, Endika Bengoetxea, Isabelle Bloch, Pedro Larrañaga: Inexact graph matching for model-based recognition: Evaluation and comparison of optimization algorithms. Pattern Recognition 38(11): 2099-2113 (2005) | |
| 2004 | ||
| 50 | José M. Peña Sánchez, Víctor Robles, Pedro Larrañaga, Vanessa Herves, F. Rosales, María S. Pérez: GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms. IEA/AIE 2004: 361-371 | |
| 49 | Rosa Blanco, Linda C. van der Gaag, Iñaki Inza, Pedro Larrañaga: Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer. ISBMDA 2004: 212-223 | |
| 48 | Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms. ISBMDA 2004: 388-398 | |
| 47 | Víctor Robles, Pedro Larrañaga, José Manuel Peña, Ernestina Menasalvas Ruiz, María S. Pérez, Vanessa Herves, Anita Wasilewska: Bayesian network multi-classifiers for protein secondary structure prediction. Artificial Intelligence in Medicine 31(2): 117-136 (2004) | |
| 46 | Iñaki Inza, Pedro Larrañaga, Rosa Blanco, Antonio J. Cerrolaza: Filter versus wrapper gene selection approaches in DNA microarray domains. Artificial Intelligence in Medicine 31(2): 91-103 (2004) | |
| 45 | Txomin Romero, Pedro Larrañaga, Basilio Sierra: Learning Bayesian Networks In The Space Of Orderings With Estimation Of Distribution Algorithms. IJPRAI 18(4): 607-625 (2004) | |
| 44 | Rosa Blanco, Pedro Larrañaga, Iñaki Inza, Basilio Sierra: Gene Selection For Cancer Classification Using Wrapper Approaches. IJPRAI 18(8): 1373-1390 (2004) | |
| 43 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Unsupervised 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 12(Supplement-1): 63-82 (2004) | |
| 2003 | ||
| 42 | Víctor Robles, Pedro Larrañaga, José M. Peña Sánchez, Oscar Marbán, F. Javier Crespo, María S. Pérez: Collaborative Filtering Using Interval Estimation Naïve Bayes. AWIC 2003: 46-53 | |
| 41 | Víctor Robles, Pedro Larrañaga, José M. Peña Sánchez, María S. Pérez, Ernestina Menasalvas Ruiz, Vanessa Herves: Learning Semi Naïve Bayes Structures by Estimation of Distribution Algorithms. EPIA 2003: 244-258 | |
| 40 | Víctor Robles, Pedro Larrañaga, José M. Peña Sánchez, Ernestina Menasalvas Ruiz, María S. Pérez: Interval Estimation Naïve Bayes. IDA 2003: 143-154 | |
| 39 | C. González, J. D. Rodríguez, José Antonio Lozano, Pedro Larrañaga: Analysis of the Univariate Marginal Distribution Algorithm Modeled by Markov Chains. IWANN (1) 2003: 510-517 | |
| 38 | Víctor Robles, María S. Pérez, Vanessa Herves, José M. Peña Sánchez, Pedro Larrañaga: Parallel Stochastic Search for Protein Secondary Structure Prediction. PPAM 2003: 1162-1169 | |
| 37 | Víctor Robles, Pedro Larrañaga, Ernestina Menasalvas Ruiz, María S. Pérez, Vanessa Herves: Improvement of Naïve Bayes Collaborative Filtering Using Interval Estimation. Web Intelligence 2003: 168-174 | |
| 36 | Rosa Blanco, Iñaki Inza, Pedro Larrañaga: Learning Bayesian networks in the space of structures by estimation of distribution algorithms. Int. J. Intell. Syst. 18(2): 205-220 (2003) | |
| 35 | Pedro Larrañaga, José Antonio Lozano, Heinz Mühlenbein: Algoritmos de Estimación de Distribuciones en Problemas de Optimización Combinatoria. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 19: 149-168 (2003) | |
| 2002 | ||
| 34 | Rosa Blanco, Iñaki Inza, Pedro Larrañaga: Floating Search Methods in Learning Bayesian Networks. Probabilistic Graphical Models 2002 | |
| 33 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms. Probabilistic Graphical Models 2002 | |
| 32 | Pedro Larrañaga, José Antonio Lozano: Synergies between evolutionary computation and probabilistic graphical models. Int. J. Approx. Reasoning 31(3): 155-156 (2002) | |
| 31 | C. González, José Antonio Lozano, Pedro Larrañaga: Mathematical modelling of UMDAc algorithm with tournament selection. Behaviour on linear and quadratic functions. Int. J. Approx. Reasoning 31(3): 313-340 (2002) | |
| 30 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction. Machine Learning 47(1): 63-89 (2002) | |
| 29 | Endika Bengoetxea, Pedro Larrañaga, Isabelle Bloch, Aymeric Perchant, Claudia Boeres: Inexact graph matching by means of estimation of distribution algorithms. Pattern Recognition 35(12): 2867-2880 (2002) | |
| 2001 | ||
| 28 | Basilio Sierra, Elena Lazkano, Iñaki Inza, Marisa Merino, Pedro Larrañaga, Jorge Quiroga: Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS. AIME 2001: 20-29 | |
| 27 | Endika Bengoetxea, Pedro Larrañaga, Isabelle Bloch, Aymeric Perchant: Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems. EMMCVPR 2001: 454-468 | |
| 26 | Basilio Sierra, Iñaki Inza, Pedro Larrañaga: On Applying Supervised Classification Techniques in Medicine. ISMDA 2001: 14-19 | |
| 25 | Basilio Sierra, Nicolás Serrano, Pedro Larrañaga, Eliseo J. Plasencia, Iñaki Inza, Juan José Jiménez, Pedro Revuelta, María Luisa Mora: Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data. Artificial Intelligence in Medicine 22(3): 233-248 (2001) | |
| 24 | Iñaki Inza, Marisa Merino, Pedro Larrañaga, Jorge Quiroga, Basilio Sierra, Marcos Girala: Feature subset selection by genetic algorithms and estimation of distribution algorithms - A case study in the survival of cirrhotic patients treated with TIPS. Artificial Intelligence in Medicine 23(2): 187-205 (2001) | |
| 23 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga, Iñaki Inza: Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks. IEEE Trans. Pattern Anal. Mach. Intell. 23(6): 590-603 (2001) | |
| 22 | Iñaki Inza, Pedro Larrañaga, Basilio Sierra: Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms. Int. J. Approx. Reasoning 27(2): 143-164 (2001) | |
| 21 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Performance evaluation of compromise conditional Gaussian networks for data clustering. Int. J. Approx. Reasoning 28(1): 23-50 (2001) | |
| 2000 | ||
| 20 | Basilio Sierra, Iñaki Inza, Pedro Larrañaga: Medical Bayes Networks. ISMDA 2000: 4-14 | |
| 19 | Iñaki Inza, Marisa Merino, Pedro Larrañaga, Jorge Quiroga, Basilio Sierra, Marcos Girala: Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS. ISMDA 2000: 97-110 | |
| 18 | Pedro Larrañaga, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña: Combinatonal Optimization by Learning and Simulation of Bayesian Networks. UAI 2000: 343-352 | |
| 17 | Iñaki Inza, Pedro Larrañaga, Ramon Etxeberria, Basilio Sierra: Feature Subset Selection by Bayesian network-based optimization. Artif. Intell. 123(1-2): 157-184 (2000) | |
| 16 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering. Pattern Recognition Letters 21(8): 779-786 (2000) | |
| 1999 | ||
| 15 | Basilio Sierra, Nicolás Serrano, Pedro Larrañaga, Eliseo J. Plasencia, Iñaki Inza, Juan José Jiménez, Jose María De la Rosa, María Luisa Mora: Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit. AIMDM 1999: 366-371 | |
| 14 | Pedro Larrañaga, Cindy M. H. Kuijpers, Roberto H. Murga, Iñaki Inza, S. Dizdarevic: Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators. Artif. Intell. Rev. 13(2): 129-170 (1999) | |
| 13 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: An empirical comparison of four initialization methods for the K-Means algorithm. Pattern Recognition Letters 20(10): 1027-1040 (1999) | |
| 12 | Iñaki Inza, Pedro Larrañaga, Basilio Sierra, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña: Representing the behaviour of supervised classification learning algorithms by Bayesian networks. Pattern Recognition Letters 20(11-13): 1201-1209 (1999) | |
| 11 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Learning Bayesian networks for clustering by means of constructive induction. Pattern Recognition Letters 20(11-13): 1219-1230 (1999) | |
| 10 | José Antonio Lozano, Pedro Larrañaga: Applying genetic algorithms to search for the best hierarchical clustering of a dataset. Pattern Recognition Letters 20(9): 911-918 (1999) | |
| 9 | José Antonio Lozano, Pedro Larrañaga, Manuel Graña, F. Xabier Albizuri: Genetic Algorithms: Bridging the Convergence Gap. Theor. Comput. Sci. 229(1): 11-22 (1999) | |
| 1998 | ||
| 8 | Basilio Sierra, Pedro Larrañaga: Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches. Artificial Intelligence in Medicine 14(1-2): 215-230 (1998) | |
| 7 | José Antonio Lozano, Pedro Larrañaga: Aplicación de los algoritmos genéticos al problema del clustering jerárquico. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 5: 62-67 (1998) | |
| 1997 | ||
| 6 | Pedro Larrañaga, Basilio Sierra, Miren J. Gallego, Maria J. Michelena, Juan M. Picaza: Learning Bayesisan Networks by Genetic Algorithms: A Case Study in the Prediction of Survival in Malignant Skin Melanoma. AIME 1997: 261-272 | |
| 5 | Pedro Larrañaga, Miren J. Gallego, Basilio Sierra, L. Urkola, Maria J. Michelena: Bayesian Networks, Rule Induction and Logistic Regression in the Prediction of the Survival of Women Suffering from Breast Cancer. EPIA 1997: 303-308 | |
| 4 | Ramon Etxeberria, Pedro Larrañaga, Juan M. Picaza: Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data. Pattern Recognition Letters 18(11-13): 1269-1273 (1997) | |
| 1996 | ||
| 3 | Pedro Larrañaga, Mikel Poza, Yosu Yurramendi, Roberto H. Murga, Cindy M. H. Kuijpers: Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters. IEEE Trans. Pattern Anal. Mach. Intell. 18(9): 912-926 (1996) | |
| 1993 | ||
| 2 | Pedro Larrañaga, Manuel Graña, Alicia D'Anjou, Francisco Javier Torrealdea: Genetic Algorithms Elitist Probabilistic of Degree 1, a generalization of Simulated Annealing. AI*IA 1993: 208-217 | |
| 1 | Pedro Larrañaga, Yosu Yurramendi: Structure learning approaches in Causal Probalistics Networks. ECSQARU 1993: 227-232 | |