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José Antonio Lozano :
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Roberto Santana , Pedro Larrañaga , José Antonio Lozano Mixtures of Kikuchi Approximations. [Citation Graph (0, 0)][DBLP ] ECML, 2006, pp:365-376 [Conf ] Guzmán Santafé , José Antonio Lozano , Pedro Larrañaga Discriminative Learning of Bayesian Network Classifiers via the TM Algorithm. [Citation Graph (0, 0)][DBLP ] ECSQARU, 2005, pp:148-160 [Conf ] Alexander Mendiburu , José Miguel-Alonso , José Antonio Lozano , M. Ostra , C. Ubide Parallel and Multi-Objective EDAs to Create Multivariate Calibration Models for Quantitative Chemical Applications. [Citation Graph (0, 0)][DBLP ] ICPP Workshops, 2005, pp:596-603 [Conf ] M. Carmen Juan Lizandra , Cristina Botella , Mariano Alcañiz Raya , Rosa María Baños , Carolina Carrion Benedito , M. Melero , José Antonio Lozano An Augmented Reality System for Treating Psychological Disorders: Application to Phobia to Cockroaches. [Citation Graph (0, 0)][DBLP ] ISMAR, 2004, pp:256-257 [Conf ] Roberto Santana , Pedro Larrañaga , José Antonio Lozano Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms. [Citation Graph (0, 0)][DBLP ] ISBMDA, 2004, pp:388-398 [Conf ] C. González , J. D. Rodríguez , José Antonio Lozano , Pedro Larrañaga Analysis of the Univariate Marginal Distribution Algorithm Modeled by Markov Chains. [Citation Graph (0, 0)][DBLP ] IWANN (1), 2003, pp:510-517 [Conf ] C. González , A. Ramírez , José Antonio Lozano , Pedro Larrañaga Average Time Complexity of Estimation of Distribution Algorithms. [Citation Graph (0, 0)][DBLP ] IWANN, 2005, pp:42-49 [Conf ] José Manuel Peña , José Antonio Lozano , Pedro Larrañaga Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms. [Citation Graph (0, 0)][DBLP ] Probabilistic Graphical Models, 2002, pp:- [Conf ] José Antonio Lozano , Javier Montesa , Mari C. Juan , Mariano Alcañiz Raya , Beatriz Rey , José Antonio Gil , José M. Martinez , Andrea Gaggioli , Francesca Morganti VR-Mirror: A Virtual Reality System for Mental Practice in Post-Stroke Rehabilitation. [Citation Graph (0, 0)][DBLP ] Smart Graphics, 2005, pp:241-251 [Conf ] Pedro Larrañaga , Ramon Etxeberria , José Antonio Lozano , José Manuel Peña Combinatonal Optimization by Learning and Simulation of Bayesian Networks. [Citation Graph (0, 0)][DBLP ] UAI, 2000, pp:343-352 [Conf ] Ramón Sagarna , José Antonio Lozano On The Performance Of Estimation Of Distribution Algorithms Applied To Software Testing. [Citation Graph (0, 0)][DBLP ] Applied Artificial Intelligence, 2005, v:19, n:5, pp:457-489 [Journal ] Pedro Larrañaga , José Antonio Lozano , Heinz Mühlenbein Algoritmos de Estimación de Distribuciones en Problemas de Optimización Combinatoria. [Citation Graph (0, 0)][DBLP ] Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2003, v:19, n:, pp:149-168 [Journal ] José Antonio Lozano , Pedro Larrañaga Aplicación de los algoritmos genéticos al problema del clustering jerárquico. [Citation Graph (0, 0)][DBLP ] Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1998, v:5, n:, pp:62-67 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Briefings in Bioinformatics, 2006, v:7, n:1, pp:86-112 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Evolutionary Computation, 2005, v:13, n:1, pp:43-66 [Journal ] Pedro Larrañaga , José Antonio Lozano Editorial Introduction Special Issue on Estimation of Distribution Algorithms. [Citation Graph (0, 0)][DBLP ] Evolutionary Computation, 2005, v:13, n:1, pp:- [Journal ] C. González , José Antonio Lozano , Pedro Larrañaga Mathematical modelling of UMDAc algorithm with tournament selection. Behaviour on linear and quadratic functions. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2002, v:31, n:3, pp:313-340 [Journal ] Pedro Larrañaga , José Antonio Lozano Synergies between evolutionary computation and probabilistic graphical models. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2002, v:31, n:3, pp:155-156 [Journal ] José Manuel Peña , José Antonio Lozano , Pedro Larrañaga Performance evaluation of compromise conditional Gaussian networks for data clustering. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2001, v:28, n:1, pp:23-50 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004, v:12, n:Supplement-1, pp:63-82 [Journal ] Alexander Mendiburu , José Miguel-Alonso , José Antonio Lozano , M. Ostra , C. Ubide Parallel EDAs to create multivariate calibration models for quantitative chemical applications. [Citation Graph (0, 0)][DBLP ] J. Parallel Distrib. Comput., 2006, v:66, n:8, pp:1002-1013 [Journal ] Pedro Larrañaga , José Antonio Lozano , José Manuel Peña , Iñaki Inza Editorial. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2005, v:59, n:3, pp:211-212 [Journal ] José Manuel Peña , José Antonio Lozano , Pedro Larrañaga Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2002, v:47, n:1, pp:63-89 [Journal ] F. Xabier Albizuri , Alicia D'Anjou , Manuel Graña , José Antonio Lozano Convergence Properties of High-order Boltzmann Machines. [Citation Graph (0, 0)][DBLP ] Neural Networks, 1996, v:9, n:9, pp:1561-1567 [Journal ] José Manuel Peña , José Antonio Lozano , Pedro Larrañaga , Iñaki Inza Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:6, pp:590-603 [Journal ] Alexander Mendiburu , José Miguel-Alonso , José Antonio Lozano Implementation and Performance Evaluation of a Parallelization of Estimation of Bayesian Network Algorithms. [Citation Graph (0, 0)][DBLP ] Parallel Processing Letters, 2006, v:16, n:1, pp:133-148 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1201-1209 [Journal ] José Antonio Lozano , Pedro Larrañaga Applying genetic algorithms to search for the best hierarchical clustering of a dataset. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 1999, v:20, n:9, pp:911-918 [Journal ] José Manuel Peña , José Antonio Lozano , Pedro Larrañaga An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 2000, v:21, n:8, pp:779-786 [Journal ] José Manuel Peña , José Antonio Lozano , Pedro Larrañaga An empirical comparison of four initialization methods for the K-Means algorithm. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 1999, v:20, n:10, pp:1027-1040 [Journal ] José Manuel Peña , José Antonio Lozano , Pedro Larrañaga Learning Bayesian networks for clustering by means of constructive induction. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1219-1230 [Journal ] José Antonio Lozano , Pedro Larrañaga , Manuel Graña , F. Xabier Albizuri Genetic Algorithms: Bridging the Convergence Gap. [Citation Graph (0, 0)][DBLP ] Theor. Comput. Sci., 1999, v:229, n:1, pp:11-22 [Journal ] Alexander Mendiburu , José Antonio Lozano , José Miguel-Alonso Parallel Implementation of EDAs Based on Probabilistic Graphical Models. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Evolutionary Computation, 2005, v:9, n:4, pp:406-423 [Journal ] Rosa María Baños , Cristina Botella , C. Perpina , Mariano Alcañiz Raya , José Antonio Lozano , Jorge Osma , M. Gallardo Virtual reality treatment of flying phobia. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Information Technology in Biomedicine, 2002, v:6, n:3, pp:206-212 [Journal ] Ramón Sagarna , José Antonio Lozano Scatter Search in software testing, comparison and collaboration with Estimation of Distribution Algorithms. [Citation Graph (0, 0)][DBLP ] European Journal of Operational Research, 2006, v:169, n:2, pp:392-412 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Computer Methods and Programs in Biomedicine, 2007, v:85, n:3, pp:229-237 [Journal ] Alexander Mendiburu , José Miguel-Alonso , José Antonio Lozano Evaluation of Parallel EDAs to Create Chemical Calibration Models. [Citation Graph (0, 0)][DBLP ] e-Science, 2006, pp:118- [Conf ] Guzmán Santafé , José Antonio Lozano , Pedro Larrañaga Discriminative vs. Generative Learning of Bayesian Network Classifiers. [Citation Graph (0, 0)][DBLP ] ECSQARU, 2007, pp:453-464 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] EvoBIO, 2007, pp:247-257 [Conf ] Beatriz Rey , José Antonio Lozano , Mariano Alcañiz Raya , Luciano Gamberini , Merche Calvet , Daniel Kerrigan , Francesco Martino Super-Feet: A Wireless Hand-Free Navigation System for Virtual Environments. [Citation Graph (0, 0)][DBLP ] HCI (14), 2007, pp:348-357 [Conf ] Mariano Alcañiz Raya , Cristina Botella , Beatriz Rey , Rosa María Baños , José Antonio Lozano , Nuria Lasso de la Vega , Diana Castilla , Javier Montesa , Antonio Hospitaler EMMA: An Adaptive Display for Virtual Therapy. [Citation Graph (0, 0)][DBLP ] HCI (16), 2007, pp:258-265 [Conf ] Rubén Armañanzas , José Antonio Lozano A multiobjective approach to the portfolio optimization problem. [Citation Graph (0, 0)][DBLP ] Congress on Evolutionary Computation, 2005, pp:1388-1395 [Conf ] Roberto Santana , Pedro Larrañaga , José Antonio Lozano Interactions and dependencies in estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP ] Congress on Evolutionary Computation, 2005, pp:1418-1425 [Conf ] Mining probabilistic models learned by EDAs in the optimization of multi-objective problems. [Citation Graph (, )][DBLP ] Multi-Objective Learning of Multi-Dimensional Bayesian Classifiers. [Citation Graph (, )][DBLP ] Bayesian Model Averaging of TAN Models for Clustering. [Citation Graph (, )][DBLP ] Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs. [Citation Graph (, )][DBLP ] Exact Bayesian network learning in estimation of distribution algorithms. [Citation Graph (, )][DBLP ] Component weighting functions for adaptive search with EDAs. [Citation Graph (, )][DBLP ] A multi-objective approach to the Channel Assignment Problem. [Citation Graph (, )][DBLP ] Analyzing the probability of the optimum in EDAs based on Bayesian networks. [Citation Graph (, )][DBLP ] Qsn: a model to the network-service interface. [Citation Graph (, )][DBLP ] Side chain placement using estimation of distribution algorithms. [Citation Graph (, )][DBLP ] Dynamic Search Space Transformations for Software Test Data Generation. [Citation Graph (, )][DBLP ] Search in 0.271secs, Finished in 0.275secs