Pedro Larrañaga 个人学术档案

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	总计	2019 年至今
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Concha BielzaProfessor of Statistics and Operations Research, Technical University of Madrid在 fi.upm.es 的电子邮件经过验证
Inaki InzaIntelligent Systems Group ISG, Computer Science Faculty, University of the Basque Country UPV/EHU在 ehu.es 的电子邮件经过验证
Roberto SantanaIntelligent Systems Group ISG, University of the Basque Country UPV/EHU在 ehu.es 的电子邮件经过验证
Víctor RoblesUniversidad Politécnica de Madrid在 fi.upm.es 的电子邮件经过验证
Endika BengoetxeaUniversity of the Basque Country在 ehu.es 的电子邮件经过验证
Rubén ArmañanzasDATAI / UNav在 ieee.org 的电子邮件经过验证
Basilio Sierra AraujoFull Professor at the Computer Sciences and Artificial Intelligen Department, University of the在 ehu.eus 的电子邮件经过验证
Jose M. PeñaSTIMA, IDA, Linköping University在 liu.se 的电子邮件经过验证
Javier DeFelipeInstituto Cajal (CSIC) and Universidad Politécnica de Madrid, Spain在 cajal.csic.es 的电子邮件经过验证
Yvan SaeysVIB - Ghent University在 ugent.be 的电子邮件经过验证
Borja CalvoIntelligent Systems Group ISG, University of the Basque Country UPV/EHU在 ehu.eus 的电子邮件经过验证
Ruth Benavides-PiccioneCajal Institute (CSIC) and Universidad Politecnica Madrid在 cajal.csic.es 的电子邮件经过验证
Guzmán SantaféUniversidad Pública de Navarra在 unavarra.es 的电子邮件经过验证
Gherardo VarandoUniversitat de València在 uv.es 的电子邮件经过验证
Hanen BorchaniSimCorp A/S在 simcorp.com 的电子邮件经过验证
Diego VidaurreAarhus University, CFIN. University of Oxford, Department of Psychiatry在 ohba.ox.ac.uk 的电子邮件经过验证
Alfonso Ibáñez MartínTelefonica Tech在 telefonica.com 的电子邮件经过验证
Bojan MihaljevićUniversidad Politécnica de Madrid在 fi.upm.es 的电子邮件经过验证
Hossein KarshenasAssociate Professor, Artificial Intelligence Department, University of Isfahan在 eng.ui.ac.ir 的电子邮件经过验证
Javier Diaz-RozoCTO at Aingura IIoT在 ainguraiiot.com 的电子邮件经过验证

关注

Pedro Larrañaga

Professor of Artificial Intelligence - Universidad Politécnica de Madrid

在 fi.upm.es 的电子邮件经过验证 - 首页

Bayesian Networks Feature Selection Estimation of Distribution Algorithms Industry 4.0


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A review of feature selection techniques in bioinformatics Y Saeys, I Inza, P Larranaga bioinformatics 23 (19), 2507-2517, 2007	5984	2007
Estimation of distribution algorithms: A new tool for evolutionary computation P Larrañaga, JA Lozano Springer Science & Business Media, 2001	3270	2001
Genetic algorithms for the travelling salesman problem: A review of representations and operators P Larranaga, CMH Kuijpers, RH Murga, I Inza, S Dizdarevic Artificial intelligence review 13, 129-170, 1999	1214	1999
An empirical comparison of four initialization methods for the k-means algorithm JM Pena, JA Lozano, P Larranaga Pattern recognition letters 20 (10), 1027-1040, 1999	1208	1999
Machine learning in bioinformatics P Larranaga, B Calvo, R Santana, C Bielza, J Galdiano, I Inza, JA Lozano, ... Briefings in bioinformatics 7 (1), 86-112, 2006	1076	2006
New insights into the classification and nomenclature of cortical GABAergic interneurons J DeFelipe, PL López-Cruz, R Benavides-Piccione, C Bielza, P Larrañaga, ... Nature Reviews Neuroscience 14 (3), 202-216, 2013	896	2013
A survey on multi‐output regression H Borchani, G Varando, C Bielza, P Larranaga Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (5 …, 2015	681	2015
Structure learning of Bayesian networks by genetic algorithms: A performance analysis of control parameters P Larranaga, M Poza, Y Yurramendi, RH Murga, CMH Kuijpers IEEE transactions on pattern analysis and machine intelligence 18 (9), 912-926, 1996	612	1996
Filter versus wrapper gene selection approaches in DNA microarray domains I Inza, P Larranaga, R Blanco, AJ Cerrolaza Artificial intelligence in medicine 31 (2), 91-103, 2004	585	2004
Towards a new evolutionary computation: advances on estimation of distribution algorithms JA Lozano, P Larrañaga, I Inza, E Bengoetxea Springer, 2006	471	2006
Learning Bayesian network structures by searching for the best ordering with genetic algorithms P Larranaga, CMH Kuijpers, RH Murga, Y Yurramendi IEEE transactions on systems, man, and cybernetics-part A: systems and …, 1996	397	1996
Feature subset selection by Bayesian network-based optimization I Inza, P Larrañaga, R Etxeberria, B Sierra Artificial intelligence 123 (1-2), 157-184, 2000	370	2000
Global optimization using Bayesian networks R Etxeberria Proc. 2nd Symposium on Artificial Intelligence (CIMAF-99), 1999	351	1999
Discrete Bayesian network classifiers: A survey C Bielza, P Larranaga ACM Computing Surveys (CSUR) 47 (1), 1-43, 2014	321	2014
Optimization in continuous domains by learning and simulation of Gaussian networks P Larranaga Proc. of the 2000 Genetic and Evolutionary Computation Conference Workshop …, 2000	293	2000
Multi-dimensional classification with Bayesian networks C Bielza, G Li, P Larranaga International Journal of Approximate Reasoning 52 (6), 705-727, 2011	269	2011
Optimization by learning and simulation of Bayesian and Gaussian networks P Larranaga 1999 EHU-KZAAIK-4/99, University of the Basque Country, 1999	240	1999
A community-based transcriptomics classification and nomenclature of neocortical cell types R Yuste, M Hawrylycz, N Aalling, A Aguilar-Valles, D Arendt, ... Nature neuroscience 23 (12), 1456-1468, 2020	213	2020
Bayesian classifiers based on kernel density estimation: Flexible classifiers A Pérez, P Larrañaga, I Inza International Journal of Approximate Reasoning 50 (2), 341-362, 2009	203	2009
Bayesian chain classifiers for multidimensional classification JH Zaragoza, LE Sucar, EF Morales, PM Larrañaga Múgica, ... Association for the Advancement of Artificial Intelligence 3, 2192-2197, 2011	195	2011

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