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Pedro Larrañaga
- > Home > Persons > Pedro Larrañaga
Publications
- 2013
- [j92]Jose Luis Flores, Iñaki Inza, Pedro Larrañaga, Borja Calvo:
A new measure for gene expression biclustering based on non-parametric correlation. Comput. Methods Programs Biomed. 112(3): 367-397 (2013) - 2012
- [j75]Borja Calvo, Iñaki Inza, Pedro Larrañaga, José Antonio Lozano:
Wrapper positive Bayesian network classifiers. Knowl. Inf. Syst. 33(3): 631-654 (2012) - 2011
- [j65]Rubén Armañanzas, Yvan Saeys, Iñaki Inza, Miguel García-Torres, Concha Bielza, Yves Van de Peer, Pedro Larrañaga:
Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 760-774 (2011) - 2009
- [j60]Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza:
Bayesian classifiers based on kernel density estimation: Flexible classifiers. Int. J. Approx. Reason. 50(2): 341-362 (2009) - [j55]Rubén Armañanzas, Borja Calvo, Iñaki Inza, Marcos López-Hoyos, Víctor Martínez-Taboada, Eduardo Ucar, Irantzu Bernales, Asier Fullaondo, Pedro Larrañaga, Ana M. Zubiaga:
Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures. IEEE Trans. Inf. Technol. Biomed. 13(3): 341-350 (2009) - 2008
- [j54]Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, José Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga:
A review of estimation of distribution algorithms in bioinformatics. BioData Min. 1 (2008) - [j51]Rubén Armañanzas, Iñaki Inza, Pedro Larrañaga:
Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers. Comput. Methods Programs Biomed. 91(2): 110-121 (2008) - 2007
- [j46]Yvan Saeys, Iñaki Inza, Pedro Larrañaga:
A review of feature selection techniques in bioinformatics. Bioinform. 23(19): 2507-2517 (2007) - [j43]Jose Luis Flores, Iñaki Inza, Pedro Larrañaga:
Wrapper discretization by means of estimation of distribution algorithms. Intell. Data Anal. 11(5): 525-545 (2007) - 2006
- [j40]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 Bioinform. 7(1): 86-112 (2006) - [j39]Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza:
Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes. Int. J. Approx. Reason. 43(1): 1-25 (2006) - [c32]Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza:
Information Theory and Classification Error in Probabilistic Classifiers. Discovery Science 2006: 347-351 - [e2]José Antonio Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea:
Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms. Studies in Fuzziness and Soft Computing 192, Springer 2006, ISBN 978-3-540-29006-3 [contents] - 2005
- [j35]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. J. Biomed. Informatics 38(5): 376-388 (2005) - [j34]Pedro Larrañaga, José Antonio Lozano, José M. Peña, Iñaki Inza:
Editorial. Mach. Learn. 59(3): 211-212 (2005) - [p16]Pedro Larrañaga, Iñaki Inza, Jose Luis Flores:
A Guide to the Literature on Inferring Genetic Networks by Probabilistic Graphical Models. Data Analysis and Visualization in Genomics and Proteomics 2005: 215-238 - 2004
- [j32]Iñaki Inza, Pedro Larrañaga, Rosa Blanco, Antonio J. Cerrolaza:
Filter versus wrapper gene selection approaches in DNA microarray domains. Artif. Intell. Medicine 31(2): 91-103 (2004) - [j29]Rosa Blanco, Pedro Larrañaga, Iñaki Inza, Basilio Sierra:
Gene Selection For Cancer Classification Using Wrapper Approaches. Int. J. Pattern Recognit. Artif. Intell. 18(8): 1373-1390 (2004) - [c24]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 - 2003
- [j26]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) - 2002
- [c16]Rosa Blanco, Iñaki Inza, Pedro Larrañaga:
Floating Search Methods in Learning Bayesian Networks. Probabilistic Graphical Models 2002 - [p6]Iñaki Inza, Pedro Larrañaga, Basilio Sierra:
Feature Subset Selection by Estimation of Distribution Algorithms. Estimation of Distribution Algorithms 2002: 269-293 - [p5]Iñaki Inza, Pedro Larrañaga, Basilio Sierra:
Feature Weighting for Nearest Neighbor by Estimation of Distribution Algorithms. Estimation of Distribution Algorithms 2002: 295-311 - [p4]Basilio Sierra, E. A. Jiménez, Iñaki Inza, Pedro Larrañaga, J. Muruzábal:
Rule Induction by Estimation of Distribution Algorithms. Estimation of Distribution Algorithms 2002: 313-322 - 2001
- [j21]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. Artif. Intell. Medicine 22(3): 233-248 (2001) - [j20]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. Artif. Intell. Medicine 23(2): 187-205 (2001) - [j19]Iñaki Inza, Pedro Larrañaga, Basilio Sierra:
Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms. Int. J. Approx. Reason. 27(2): 143-164 (2001) - [j17]José M. 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) - [c14]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 - [c11]Basilio Sierra, Iñaki Inza, Pedro Larrañaga:
On Applying Supervised Classification Techniques in Medicine. ISMDA 2001: 14-19 - 2000
- [j16]Iñaki Inza, Pedro Larrañaga, Ramon Etxeberria, Basilio Sierra:
Feature Subset Selection by Bayesian network-based optimization. Artif. Intell. 123(1-2): 157-184 (2000) - [c10]Basilio Sierra, Iñaki Inza, Pedro Larrañaga:
Medical Bayes Networks. ISMDA 2000: 4-14 - [c9]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 - 1999
- [j13]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) - [j10]Iñaki Inza, Pedro Larrañaga, Basilio Sierra, Ramon Etxeberria, José Antonio Lozano, José M. Peña:
Representing the behaviour of supervised classification learning algorithms by Bayesian networks. Pattern Recognit. Lett. 20(11-13): 1201-1209 (1999) - [c7]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
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