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Pedro Larrañaga: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Pedro Larrañaga, Manuel Graña, Alicia D'Anjou, Francisco Javier Torrealdea
    Genetic Algorithms Elitist Probabilistic of Degree 1, a generalization of Simulated Annealing. [Citation Graph (0, 0)][DBLP]
    AI*IA, 1993, pp:208-217 [Conf]
  2. 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. [Citation Graph (0, 0)][DBLP]
    AIMDM, 1999, pp:366-371 [Conf]
  3. 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. [Citation Graph (0, 0)][DBLP]
    AIME, 1997, pp:261-272 [Conf]
  4. 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. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:20-29 [Conf]
  5. Víctor Robles, Pedro Larrañaga, José M. Peña Sánchez, Oscar Marbán, F. Javier Crespo, María S. Pérez
    Collaborative Filtering Using Interval Estimation Naïve Bayes. [Citation Graph (0, 0)][DBLP]
    AWIC, 2003, pp:46-53 [Conf]
  6. Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza
    Information Theory and Classification Error in Probabilistic Classifiers. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2006, pp:347-351 [Conf]
  7. Roberto Santana, Pedro Larrañaga, José Antonio Lozano
    Mixtures of Kikuchi Approximations. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:365-376 [Conf]
  8. Pedro Larrañaga, Yosu Yurramendi
    Structure learning approaches in Causal Probalistics Networks. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 1993, pp:227-232 [Conf]
  9. 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]
  10. Endika Bengoetxea, Pedro Larrañaga, Isabelle Bloch, Aymeric Perchant
    Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2001, pp:454-468 [Conf]
  11. 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. [Citation Graph (0, 0)][DBLP]
    EPIA, 1997, pp:303-308 [Conf]
  12. 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. [Citation Graph (0, 0)][DBLP]
    EPIA, 2003, pp:244-258 [Conf]
  13. Víctor Robles, Pedro Larrañaga, José M. Peña Sánchez, Ernestina Menasalvas Ruiz, María S. Pérez
    Interval Estimation Naïve Bayes. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:143-154 [Conf]
  14. 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. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2004, pp:361-371 [Conf]
  15. 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. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2000, pp:97-110 [Conf]
  16. Rosa Blanco, Linda C. van der Gaag, Iñaki Inza, Pedro Larrañaga
    Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2004, pp:212-223 [Conf]
  17. Basilio Sierra, Iñaki Inza, Pedro Larrañaga
    On Applying Supervised Classification Techniques in Medicine. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2001, pp:14-19 [Conf]
  18. 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]
  19. Basilio Sierra, Iñaki Inza, Pedro Larrañaga
    Medical Bayes Networks. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2000, pp:4-14 [Conf]
  20. 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]
  21. 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]
  22. Rosa Blanco, Iñaki Inza, Pedro Larrañaga
    Floating Search Methods in Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Probabilistic Graphical Models, 2002, pp:- [Conf]
  23. 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]
  24. Víctor Robles, María S. Pérez, Vanessa Herves, José M. Peña Sánchez, Pedro Larrañaga
    Parallel Stochastic Search for Protein Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    PPAM, 2003, pp:1162-1169 [Conf]
  25. Teresa Miquélez, Endika Bengoetxea, Pedro Larrañaga
    Evolutionary Bayesian Classifier-Based Optimization in Continuous Domains. [Citation Graph (0, 0)][DBLP]
    SEAL, 2006, pp:529-536 [Conf]
  26. 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]
  27. Víctor Robles, Pedro Larrañaga, Ernestina Menasalvas Ruiz, María S. Pérez, Vanessa Herves
    Improvement of Naïve Bayes Collaborative Filtering Using Interval Estimation. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2003, pp:168-174 [Conf]
  28. 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]
  29. 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]
  30. Iñaki Inza, Pedro Larrañaga, Ramon Etxeberria, Basilio Sierra
    Feature Subset Selection by Bayesian network-based optimization. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2000, v:123, n:1-2, pp:157-184 [Journal]
  31. 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. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1999, v:13, n:2, pp:129-170 [Journal]
  32. Iñaki Inza, Pedro Larrañaga, Rosa Blanco, Antonio J. Cerrolaza
    Filter versus wrapper gene selection approaches in DNA microarray domains. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:31, n:2, pp:91-103 [Journal]
  33. 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. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2001, v:23, n:2, pp:187-205 [Journal]
  34. 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. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:31, n:2, pp:117-136 [Journal]
  35. Basilio Sierra, Pedro Larrañaga
    Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1998, v:14, n:1-2, pp:215-230 [Journal]
  36. 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. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2001, v:22, n:3, pp:233-248 [Journal]
  37. 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]
  38. 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]
  39. 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]
  40. 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]
  41. Iñaki Inza, Pedro Larrañaga, Basilio Sierra
    Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2001, v:27, n:2, pp:143-164 [Journal]
  42. 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]
  43. Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza
    Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:43, n:1, pp:1-25 [Journal]
  44. 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]
  45. Rosa Blanco, Iñaki Inza, Pedro Larrañaga
    Learning Bayesian networks in the space of structures by estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2003, v:18, n:2, pp:205-220 [Journal]
  46. Rosa Blanco, Pedro Larrañaga, Iñaki Inza, Basilio Sierra
    Gene Selection For Cancer Classification Using Wrapper Approaches. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:8, pp:1373-1390 [Journal]
  47. Txomin Romero, Pedro Larrañaga, Basilio Sierra
    Learning Bayesian Networks In The Space Of Orderings With Estimation Of Distribution Algorithms. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:4, pp:607-625 [Journal]
  48. 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]
  49. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2005, v:38, n:5, pp:376-388 [Journal]
  50. 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]
  51. 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]
  52. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1996, v:18, n:9, pp:912-926 [Journal]
  53. 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]
  54. Endika Bengoetxea, Pedro Larrañaga, Isabelle Bloch, Aymeric Perchant, Claudia Boeres
    Inexact graph matching by means of estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:12, pp:2867-2880 [Journal]
  55. Roberto Marcondes Cesar Junior, Endika Bengoetxea, Isabelle Bloch, Pedro Larrañaga
    Inexact graph matching for model-based recognition: Evaluation and comparison of optimization algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:11, pp:2099-2113 [Journal]
  56. Ramon Etxeberria, Pedro Larrañaga, Juan M. Picaza
    Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:11-13, pp:1269-1273 [Journal]
  57. 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]
  58. 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]
  59. 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]
  60. 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]
  61. 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]
  62. 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]
  63. 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]
  64. 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]
  65. 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]
  66. 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]
  67. J. L. Flores, Iñaki Inza, Pedro Larrañaga
    Wrapper discretization by means of estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2007, v:11, n:5, pp:525-545 [Journal]

  68. Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models. [Citation Graph (, )][DBLP]


  69. Mining probabilistic models learned by EDAs in the optimization of multi-objective problems. [Citation Graph (, )][DBLP]


  70. Probabilistic Graphical Markov Model Learning: An Adaptive Strategy. [Citation Graph (, )][DBLP]


  71. Bayesian Model Averaging of TAN Models for Clustering. [Citation Graph (, )][DBLP]


  72. Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs. [Citation Graph (, )][DBLP]


  73. Exact Bayesian network learning in estimation of distribution algorithms. [Citation Graph (, )][DBLP]


  74. Component weighting functions for adaptive search with EDAs. [Citation Graph (, )][DBLP]


  75. Side chain placement using estimation of distribution algorithms. [Citation Graph (, )][DBLP]


  76. A review of feature selection techniques in bioinformatics. [Citation Graph (, )][DBLP]


  77. Predicting citation count of Bioinformatics papers within four years of publication. [Citation Graph (, )][DBLP]


  78. Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains. [Citation Graph (, )][DBLP]


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