José Antonio Lozano

Juan Diego Rodríguez, Aritz Pérez Martínez, Jose Antonio Lozano: A general framework for the statistical analysis of the sources of variance for classification error estimators. Pattern Recognition 46(3): 855-864 (2013)

Luciano Gamberini, Anna Spagnolli, Lisa Prontu, Sarah Furlan, Francesco Martino, Beatriz Rey Solaz, Mariano Alcañiz Raya, José Antonio Lozano: How natural is a natural interface? An evaluation procedure based on action breakdowns. Personal and Ubiquitous Computing 17(1): 69-79 (2013)

Pedro Larrañaga, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña: Combinatorial Optimization by Learning and Simulation of Bayesian Networks. CoRR abs/1301.3871 (2013)

Izaskun Ibarbia, Alexander Mendiburu, Maria Santos, Jose Antonio Lozano: An interactive optimization approach to a real-world oceanographic campaign planning problem. Appl. Intell. 36(3): 721-734 (2012)

Siddhartha Shakya, Roberto Santana, José Antonio Lozano: A Markovianity based optimisation algorithm. Genetic Programming and Evolvable Machines 13(2): 159-195 (2012)

Jonathan Ortigosa-Hernández, Juan Diego Rodríguez, Leandro Alzate, Manuel Lucania, Iñaki Inza, José Antonio Lozano: Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers. Neurocomputing 92: 98-115 (2012)

Borja Calvo, Iñaki Inza, Pedro Larrañaga, José Antonio Lozano: Wrapper positive Bayesian network classifiers. Knowl. Inf. Syst. 33(3): 631-654 (2012)

Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano: A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems. Progress in AI 1(1): 103-117 (2012)

Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano: Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis. IEEE Trans. Evolutionary Computation 16(2): 173-189 (2012)

Juan Diego Rodríguez, Aritz Pérez Martínez, David Arteta, Diego Tejedor, José Antonio Lozano: Using Multidimensional Bayesian Network Classifiers to Assist the Treatment of Multiple Sclerosis. IEEE Transactions on Systems, Man, and Cybernetics, Part C 42(6): 1705-1715 (2012)

Roberto Santana, Alexander Mendiburu, José Antonio Lozano: Structural transfer using EDAs: An application to multi-marker tagging SNP selection. IEEE Congress on Evolutionary Computation 2012: 1-8

Roberto Santana, Alexander Mendiburu, José Antonio Lozano: An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data. IEEE Congress on Evolutionary Computation 2012: 1-8

Roberto Santana, Alexander Mendiburu, José Antonio Lozano: Evolving NK-complexity for evolutionary solvers. GECCO (Companion) 2012: 1473-1474

Jose Antonio Pascual, José Miguel-Alonso, Jose Antonio Lozano: Optimization-based mapping framework for parallel applications. J. Parallel Distrib. Comput. 71(10): 1377-1387 (2011)

Ekhine Irurozki, Borja Calvo, José Antonio Lozano: A Preprocessing Procedure for Haplotype Inference by Pure Parsimony. IEEE/ACM Trans. Comput. Biology Bioinform. 8(5): 1183-1195 (2011)

Ekhine Irurozki, Borja Calvo, José Antonio Lozano: Learning Probability Distributions over Permutations by Means of Fourier Coefficients. Canadian Conference on AI 2011: 186-191

Carlos Echegoyen, Qingfu Zhang, Alexander Mendiburu, Roberto Santana, José Antonio Lozano: On the limits of effectiveness in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2011: 1573-1580

Leticia Hernando, Jose Antonio Pascual, Alexander Mendiburu, José Antonio Lozano: A study on the complexity of TSP instances under the 2-exchange neighbor system. FOCI 2011: 15-21

Josu Ceberio, Alexander Mendiburu, Jose Antonio Lozano: A preliminary study on EDAs for permutation problems based on marginal-based models. GECCO 2011: 609-616

Josu Ceberio, Alexander Mendiburu, José Antonio Lozano: Introducing the Mallows Model on Estimation of Distribution Algorithms. ICONIP (2) 2011: 461-470

Patricia Mesa-Gresa, José Antonio Lozano, Roberto Lloréns, Mariano Alcañiz Raya, María Dolores Navarro, Enrique Noé: Clinical Validation of a Virtual Environment Test for Safe Street Crossing in the Assessment of Acquired Brain Injury Patients with and without Neglect. INTERACT (2) 2011: 44-51

Roberto Santana, Alexander Mendiburu, Noah Zaitlen, Eleazar Eskin, José Antonio Lozano: Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms. Artificial Intelligence in Medicine 50(3): 193-201 (2010)

Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation. Evolutionary Computation 18(4): 515-546 (2010)

Juan Diego Rodríguez, Aritz Pérez Martínez, José Antonio Lozano: Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 569-575 (2010)

Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano: Estimation of Bayesian networks algorithms in a class of complex networks. IEEE Congress on Evolutionary Computation 2010: 1-8

Jose Antonio Pascual, José Miguel-Alonso, Jose Antonio Lozano: Strategies to Map Parallel Applications onto Meshes. DCAI 2010: 197-204

Alexander Mendiburu, José Miguel-Alonso, José Antonio Lozano: A Review on Parallel Estimation of Distribution Algorithms. Parallel and Distributed Computational Intelligence 2010: 143-163

Cristina Botella, Ernestina Etchemendy, Diana Castilla, Rosa María Baños, Azucena Garcia-Palacios, Soledad Quero, Mariano Alcañiz Raya, José Antonio Lozano: An e-Health System for the Elderly (Butler Project): A Pilot Study on Acceptance and Satisfaction. Cyberpsy., Behavior, and Soc. Networking 12(3): 255-262 (2009)

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)

Borja Calvo, Pedro Larrañaga, José Antonio Lozano: Feature subset selection from positive and unlabelled examples. Pattern Recognition Letters 30(11): 1027-1036 (2009)

José Antonio Lozano, Qingfu Zhang, Pedro Larrañaga: Guest Editorial: Special Issue on Evolutionary Algorithms Based on Probabilistic Models. IEEE Trans. Evolutionary Computation 13(6): 1197-1198 (2009)

Ekhine Irurozki, José Antonio Lozano: A new preprocessing procedure for the haplotype inference problem. IEEE Congress on Evolutionary Computation 2009: 1320-1327

Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano: Analyzing the probability of the optimum in EDAs based on Bayesian networks. IEEE Congress on Evolutionary Computation 2009: 1652-1659

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

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)

Ramón Sagarna, José Antonio Lozano: Dynamic Search Space Transformations for Software Test Data Generation. Computational Intelligence 24(1): 23-61 (2008)

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)

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)

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)

Jayrani Cheeneebash, José Antonio Lozano, Harry C. S. Rughooputh: A multi-objective approach to the Channel Assignment Problem. IEEE Congress on Evolutionary Computation 2008: 3913-3916

Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Component weighting functions for adaptive search with EDAs. IEEE Congress on Evolutionary Computation 2008: 4066-4073

Juan Diego Rodríguez, José Antonio Lozano: Multi-Objective Learning of Multi-Dimensional Bayesian Classifiers. HIS 2008: 501-506

Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs. PPSN 2008: 1120-1129

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

Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Adaptive Estimation of Distribution Algorithms. Adaptive and Multilevel Metaheuristics 2008: 177-197

Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Side chain placement using estimation of distribution algorithms. Artificial Intelligence in Medicine 39(1): 49-63 (2007)

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)

Borja Calvo, Pedro Larrañaga, José Antonio Lozano: Learning Bayesian classifiers from positive and unlabeled examples. Pattern Recognition Letters 28(16): 2375-2384 (2007)

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

Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga: Discriminative vs. Generative Learning of Bayesian Network Classifiers. ECSQARU 2007: 453-464

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

Alexander Mendiburu, Roberto Santana, Jose Antonio Lozano, Endika Bengoetxea: A parallel framework for loopy belief propagation. GECCO (Companion) 2007: 2843-2850

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. HCI (16) 2007: 258-265

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. HCI (14) 2007: 348-357

Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga: Discriminative Learning of Bayesian Network Classifiers. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 10(29): 39-47 (2006)

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)

Ramón Sagarna, José Antonio Lozano: Scatter Search in software testing, comparison and collaboration with Estimation of Distribution Algorithms. European Journal of Operational Research 169(2): 392-412 (2006)

Alexander Mendiburu, José Miguel-Alonso, José Antonio Lozano, M. Ostra, C. Ubide: Parallel EDAs to create multivariate calibration models for quantitative chemical applications. J. Parallel Distrib. Comput. 66(8): 1002-1013 (2006)

Alexander Mendiburu, José Miguel-Alonso, José Antonio Lozano: Implementation and Performance Evaluation of a Parallelization of Estimation of Bayesian Network Algorithms. Parallel Processing Letters 16(1): 133-148 (2006)

Alexander Mendiburu, José Miguel-Alonso, José Antonio Lozano: Evaluation of Parallel EDAs to Create Chemical Calibration Models. e-Science 2006: 118

Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Mixtures of Kikuchi Approximations. ECML 2006: 365-376

Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga: Bayesian Model Averaging of TAN Models for Clustering. Probabilistic Graphical Models 2006: 271-278

Ramón Sagarna, José Antonio Lozano: On The Performance Of Estimation Of Distribution Algorithms Applied To Software Testing. Applied Artificial Intelligence 19(5): 457-489 (2005)

Pedro Larrañaga, José Antonio Lozano: Editorial Introduction Special Issue on Estimation of Distribution Algorithms. Evolutionary Computation 13(1) (2005)

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)

Pedro Larrañaga, José Antonio Lozano, José Manuel Peña, Iñaki Inza: Editorial. Machine Learning 59(3): 211-212 (2005)

Alexander Mendiburu, José Antonio Lozano, José Miguel-Alonso: Parallel Implementation of EDAs Based on Probabilistic Graphical Models. IEEE Trans. Evolutionary Computation 9(4): 406-423 (2005)

Rubén Armañanzas, José Antonio Lozano: A multiobjective approach to the portfolio optimization problem. Congress on Evolutionary Computation 2005: 1388-1395

Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Interactions and dependencies in estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 1418-1425

Guzmán Santafé, José Antonio Lozano, Pedro Larrañaga: Discriminative Learning of Bayesian Network Classifiers via the TM Algorithm. ECSQARU 2005: 148-160

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. ICPP Workshops 2005: 596-603

C. González, A. Ramírez, José Antonio Lozano, Pedro Larrañaga: Average Time Complexity of Estimation of Distribution Algorithms. IWANN 2005: 42-49

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. Smart Graphics 2005: 241-251

Andrea Gaggioli, Francesca Morganti, R. Walker, Andrea Meneghini, Mariano Alcañiz Raya, José Antonio Lozano, Javier Montesa, José A. Gil, Giuseppe Riva: Training with Computer-Supported Motor Imagery in Post-Stroke Rehabilitation. Cyberpsy., Behavior, and Soc. Networking 7(3): 327-332 (2004)

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)

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. ISMAR 2004: 256-257

Roberto Santana, Pedro Larrañaga, José Antonio Lozano: Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms. ISBMDA 2004: 388-398

Xin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan J. Merelo Guervós, John A. Bullinaria, Jonathan E. Rowe, Peter Tiño, Ata Kabán, Hans-Paul Schwefel (Eds.): Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings. Lecture Notes in Computer Science 3242, Springer 2004, isbn 3-540-23092-0

Pedro Larrañaga, José Antonio Lozano, Heinz Mühlenbein: Algoritmos de Estimación de Distribuciones en Problemas de Optimización Combinatoria. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 7(19): 149-168 (2003)

Mariano Alcañiz Raya, Cristina Botella, Rosa María Baños, Concepción Perpiñá, Beatriz Rey, José Antonio Lozano, Veronica Guillen, Francisco Barrera, José Antonio Gil: Internet-Based Telehealth System for the Treatment of Agoraphobia. Cyberpsy., Behavior, and Soc. Networking 6(4): 355-358 (2003)

C. González, Juan Diego Rodríguez, José Antonio Lozano, Pedro Larrañaga: Analysis of the Univariate Marginal Distribution Algorithm Modeled by Markov Chains. IWANN (1) 2003: 510-517

Pedro Larrañaga, José Antonio Lozano: Synergies between evolutionary computation and probabilistic graphical models. Int. J. Approx. Reasoning 31(3): 155-156 (2002)

C. González, José Antonio Lozano, Pedro Larrañaga: Mathematical modelling of UMDA_c algorithm with tournament selection. Behaviour on linear and quadratic functions. Int. J. Approx. Reasoning 31(3): 313-340 (2002)

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)

Rosa María Baños, Cristina Botella, Concepción Perpiñá, Mariano Alcañiz Raya, José Antonio Lozano, Jorge Osma, M. Gallardo: Virtual reality treatment of flying phobia. IEEE Transactions on Information Technology in Biomedicine 6(3): 206-212 (2002)

José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms. Probabilistic Graphical Models 2002

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)

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)

Mariano Alcañiz Raya, Concepción Perpiñá, Rosa María Baños, José Antonio Lozano, Javier Montesa, Cristina Botella, Azucena Garcia-Palacios, Helena Villa Martín, J. Alozano: A New Realistic 3D Body Representation in Virtual Environments for the Treatment of Disturbed Body Image in Eating Disorders. Cyberpsy., Behavior, and Soc. Networking 3(3): 433-439 (2000)

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)

Pedro Larrañaga, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña: Combinatonal Optimization by Learning and Simulation of Bayesian Networks. UAI 2000: 343-352

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)

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)

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)

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)

José Antonio Lozano, Pedro Larrañaga, Manuel Graña, F. Xabier Albizuri: Genetic Algorithms: Bridging the Convergence Gap. Theor. Comput. Sci. 229(1): 11-22 (1999)

José Antonio Lozano, Pedro Larrañaga: Aplicación de los algoritmos genéticos al problema del clustering jerárquico. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 2(5): 62-67 (1998)

Jorge Sanchez, José Antonio Lozano, Martin Alarcon, Virgilio Postigo: Qsn: a model to the network-service interface. NOMS 1998: 288-291

F. Xabier Albizuri, Alicia D'Anjou, Manuel Graña, José Antonio Lozano: Convergence Properties of High-order Boltzmann Machines. Neural Networks 9(9): 1561-1567 (1996)

Manuel Graña, Víctor Lavín Puente, Alicia D'Anjou, Francisco X. Albizuri, José Antonio Lozano: High-order Boltzmann machines applied to the Monk's problems. ESANN 1994