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Pedro Larrañaga Vis

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*2010
88EEConcha 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
87EERoberto 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
86EEAritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza: Bayesian classifiers based on kernel density estimation: Flexible classifiers. Int. J. Approx. Reasoning 50(2): 341-362 (2009)
85EETxomin Romero, Pedro Larrañaga: Triangulation of Bayesian networks with recursive estimation of distribution algorithms. Int. J. Approx. Reasoning 50(3): 472-484 (2009)
84EERoberto Santana, Pedro Larrañaga, José Antonio Lozano: Research topics in discrete estimation of distribution algorithms based on factorizations. Memetic Computing 1(1): 35-54 (2009)
83EEBorja Calvo, Pedro Larrañaga, José Antonio Lozano: Feature subset selection from positive and unlabelled examples. Pattern Recognition Letters 30(11): 1027-1036 (2009)
2008
82EERoberto Santana, Pedro Larrañaga, José Antonio Lozano: Component weighting functions for adaptive search with EDAs. IEEE Congress on Evolutionary Computation 2008: 4066-4073
81EERoberto Santana, Pedro Larrañaga, José Antonio Lozano: Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs. PPSN 2008: 1120-1129
80EERoberto Santana, Pedro Larrañaga, José Antonio Lozano: Adaptive Estimation of Distribution Algorithms. Adaptive and Multilevel Metaheuristics 2008: 177-197
79EECarlos 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
78EEDinora 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)
77EERubén 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)
76EERoberto 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)
75EERoberto 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)
74EEGuzmán 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
73EEGuzmán Santafé, José Antonio Lozano, Pedro Larrañaga: Discriminative vs. Generative Learning of Bayesian Network Classifiers. ECSQARU 2007: 453-464
72EERoberto 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
71EECarlos 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
70EERoberto Santana, Pedro Larrañaga, José Antonio Lozano: Side chain placement using estimation of distribution algorithms. Artificial Intelligence in Medicine 39(1): 49-63 (2007)
69EEYvan Saeys, Iñaki Inza, Pedro Larrañaga: A review of feature selection techniques in bioinformatics. Bioinformatics 23(19): 2507-2517 (2007)
68EEBorja 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)
67EETeresa 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)
66EEJ. L. Flores, Iñaki Inza, Pedro Larrañaga: Wrapper discretization by means of estimation of distribution algorithms. Intell. Data Anal. 11(5): 525-545 (2007)
65EEBorja Calvo, Pedro Larrañaga, José Antonio Lozano: Learning Bayesian classifiers from positive and unlabeled examples. Pattern Recognition Letters 28(16): 2375-2384 (2007)
2006
64EEAritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza: Information Theory and Classification Error in Probabilistic Classifiers. Discovery Science 2006: 347-351
63EERoberto Santana, Pedro Larrañaga, José Antonio Lozano: Mixtures of Kikuchi Approximations. ECML 2006: 365-376
62EEGuzmán Santafé, José Antonio Lozano, Pedro Larrañaga: Bayesian Model Averaging of TAN Models for Clustering. Probabilistic Graphical Models 2006: 271-278
61EETeresa Miquélez, Endika Bengoetxea, Pedro Larrañaga: Evolutionary Bayesian Classifier-Based Optimization in Continuous Domains. SEAL 2006: 529-536
60EEPedro 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)
59EEAritz 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
58EERoberto Santana, Pedro Larrañaga, José Antonio Lozano: Interactions and dependencies in estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 1418-1425
57EEGuzmán Santafé, José Antonio Lozano, Pedro Larrañaga: Discriminative Learning of Bayesian Network Classifiers via the TM Algorithm. ECSQARU 2005: 148-160
56EEC. González, A. Ramírez, José Antonio Lozano, Pedro Larrañaga: Average Time Complexity of Estimation of Distribution Algorithms. IWANN 2005: 42-49
55EEPedro Larrañaga, José Antonio Lozano: Editorial Introduction Special Issue on Estimation of Distribution Algorithms. Evolutionary Computation 13(1): (2005)
54EEJosé 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)
53EERosa 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)
52EEPedro Larrañaga, José Antonio Lozano, José Manuel Peña, Iñaki Inza: Editorial. Machine Learning 59(3): 211-212 (2005)
51EERoberto 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
50EEJosé 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
49EERosa 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
48EERoberto Santana, Pedro Larrañaga, José Antonio Lozano: Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms. ISBMDA 2004: 388-398
47EEVíctor 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)
46EEIñaki 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)
45EETxomin Romero, Pedro Larrañaga, Basilio Sierra: Learning Bayesian Networks In The Space Of Orderings With Estimation Of Distribution Algorithms. IJPRAI 18(4): 607-625 (2004)
44EERosa Blanco, Pedro Larrañaga, Iñaki Inza, Basilio Sierra: Gene Selection For Cancer Classification Using Wrapper Approaches. IJPRAI 18(8): 1373-1390 (2004)
43EEJosé 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
42EEVíctor 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
41EEVíctor 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
40EEVíctor Robles, Pedro Larrañaga, José M. Peña Sánchez, Ernestina Menasalvas Ruiz, María S. Pérez: Interval Estimation Naïve Bayes. IDA 2003: 143-154
39EEC. 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
38EEVíctor Robles, María S. Pérez, Vanessa Herves, José M. Peña Sánchez, Pedro Larrañaga: Parallel Stochastic Search for Protein Secondary Structure Prediction. PPAM 2003: 1162-1169
37EEVíctor 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
36EERosa 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)
35EEPedro 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
34EERosa Blanco, Iñaki Inza, Pedro Larrañaga: Floating Search Methods in Learning Bayesian Networks. Probabilistic Graphical Models 2002
33EEJosé Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms. Probabilistic Graphical Models 2002
32EEPedro Larrañaga, José Antonio Lozano: Synergies between evolutionary computation and probabilistic graphical models. Int. J. Approx. Reasoning 31(3): 155-156 (2002)
31EEC. 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)
29EEEndika 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
28EEBasilio 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
27EEEndika Bengoetxea, Pedro Larrañaga, Isabelle Bloch, Aymeric Perchant: Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems. EMMCVPR 2001: 454-468
26EEBasilio 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)
23EEJosé 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)
22EEIñaki 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)
21EEJosé 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
20EEBasilio Sierra, Iñaki Inza, Pedro Larrañaga: Medical Bayes Networks. ISMDA 2000: 4-14
19EEIñaki 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
18EEPedro Larrañaga, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña: Combinatonal Optimization by Learning and Simulation of Bayesian Networks. UAI 2000: 343-352
17EEIñaki Inza, Pedro Larrañaga, Ramon Etxeberria, Basilio Sierra: Feature Subset Selection by Bayesian network-based optimization. Artif. Intell. 123(1-2): 157-184 (2000)
16EEJosé 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
15EEBasilio 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)
13EEJosé 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)
12EEIñaki 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)
11EEJosé 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)
10EEJosé 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)
9EEJosé 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
4EERamon 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
3EEPedro 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

Coauthor Index

1F. Xabier Albizuri [9]
2Rubén Armañanzas [60] [77]
3Endika Bengoetxea [27] [29] [51] [61] [67] [78] [88]
4Concha Bielza [60] [87] [88]
5Rosa Blanco [34] [36] [44] [46] [49] [53]
6Isabelle Bloch [27] [29] [51]
7Claudia Boeres [29]
8Borja Calvo [60] [65] [68] [83]
9Antonio J. Cerrolaza [46]
10F. Javier Crespo [42]
11Alicia D'Anjou [2]
12S. Dizdarevic [14]
13Carlos Echegoyen [71] [79]
14Ramon Etxeberria [4] [12] [17] [18]
15J. L. Flores [66]
16Yosu Franco [78]
17Mónica Fresnada [78]
18Simon J. Furney [68]
19Linda C. van der Gaag [49]
20Josu Galdiano [60]
21Miren J. Gallego [5] [6]
22Miguel García [78]
23Marcos Girala [19] [24]
24C. González [31] [39] [56]
25Manuel Graña [2] [9]
26Vanessa Herves [37] [38] [41] [47] [50]
27Iñaki Inza [12] [14] [15] [17] [19] [20] [22] [23] [24] [25] [26] [28] [34] [36] [44] [46] [49] [52] [53] [59] [60] [64] [66] [69] [77] [86]
28Juan José Jiménez [15] [25]
29Roberto Marcondes Cesar Junior (Roberto M. Cesar) [51]
30Cindy M. H. Kuijpers [3] [14]
31Elena Lazkano [28]
32Núria López-Bigas [68]
33José Antonio Lozano (Jose Antonio Lozano) [7] [9] [10] [11] [12] [13] [16] [18] [21] [23] [30] [31] [32] [33] [35] [39] [43] [48] [52] [54] [55] [56] [57] [58] [60] [62] [63] [65] [68] [70] [71] [72] [73] [74] [75] [76] [79] [80] [81] [82] [83] [84] [87]
34Oscar Marbán [42]
35Aritz Pérez Martínez [59] [60] [64] [86]
36Alexander Mendiburu [67]
37Marisa Merino [19] [24] [28] [53] [78]
38Maria J. Michelena [5] [6]
39Teresa Miquélez [61] [67]
40María Luisa Mora [15] [25]
41Dinora Araceli Morales [78]
42Heinz Mühlenbein [35]
43Roberto H. Murga [3] [14]
44José Manuel Peña [11] [12] [13] [16] [18] [21] [23] [30] [33] [43] [47] [52] [54]
45Aymeric Perchant [27] [29]
46María S. Pérez-Hernández (María S. Pérez) [37] [38] [40] [41] [42] [47] [50]
47Juan M. Picaza [4] [6]
48Eliseo J. Plasencia [15] [25]
49Mikel Poza [3]
50Juan A. Fernández del Pozo [88]
51Jorge Quiroga [19] [24] [28] [53]
52A. Ramírez [56]
53Pedro Revuelta [25]
54Víctor Robles (Victor Robles, Víctor Robles Forcada) [37] [38] [40] [41] [42] [47] [50] [60]
55J. D. Rodríguez [39]
56Txomin Romero [45] [85]
57Jose María De la Rosa [15]
58F. Rosales [50]
59Ernestina Menasalvas Ruiz [37] [40] [41] [47]
60Yvan Saeys [69]
61José M. Peña Sánchez [38] [40] [41] [42] [50]
62Guzmán Santafé [57] [60] [62] [73] [74]
63Roberto Santana [48] [58] [60] [63] [70] [71] [72] [75] [76] [79] [80] [81] [82] [84] [87]
64Nicolás Serrano [15] [25]
65Basilio Sierra [5] [6] [8] [12] [15] [17] [19] [20] [22] [24] [25] [26] [28] [44] [45]
66Francisco Javier Torrealdea [2]
67L. Urkola [5]
68Anita Wasilewska [47]
69Yosu Yurramendi [1] [3]

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)