Pedro Larrañaga

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Concha BielzaProfessor of Statistics and Operations Research, Technical University of MadridVerified email at fi.upm.es
Inaki InzaIntelligent Systems Group ISG, Computer Science Faculty, University of the Basque Country UPV/EHUVerified email at ehu.es
Roberto SantanaIntelligent Systems Group ISG, University of the Basque Country UPV/EHUVerified email at ehu.es
Rubén ArmañanzasDATAI / UNavVerified email at ieee.org
Víctor RoblesUniversidad Politécnica de MadridVerified email at fi.upm.es
Endika BengoetxeaUniversity of the Basque CountryVerified email at ehu.es
Basilio Sierra AraujoFull Professor at the Computer Sciences and Artificial Intelligen Department, University of theVerified email at ehu.eus
Jose M. PeñaSTIMA, IDA, Linköping UniversityVerified email at liu.se
Javier DeFelipeInstituto Cajal (CSIC) and Universidad Politécnica de Madrid, SpainVerified email at cajal.csic.es
Yvan SaeysVIB - Ghent UniversityVerified email at ugent.be
Borja CalvoIntelligent Systems Group ISG, University of the Basque Country UPV/EHUVerified email at ehu.eus
Ruth Benavides-PiccioneCajal Institute (CSIC) and Universidad Politecnica MadridVerified email at cajal.csic.es
Guzmán SantaféUniversidad Pública de NavarraVerified email at unavarra.es
Gherardo VarandoUniversitat de ValènciaVerified email at uv.es
Hanen BorchaniSimCorp A/SVerified email at simcorp.com
Diego VidaurreAarhus University, CFIN. University of Oxford, Department of PsychiatryVerified email at ohba.ox.ac.uk
Bojan MihaljevićUniversidad Politécnica de MadridVerified email at fi.upm.es
Javier Diaz-RozoCTO at Aingura IIoTVerified email at ainguraiiot.com
Alfonso Ibáñez MartínTelefonica TechVerified email at telefonica.com
Hossein KarshenasAssociate Professor, Artificial Intelligence Department, University of IsfahanVerified email at eng.ui.ac.ir

Pedro Larrañaga

Professor of Artificial Intelligence - Universidad Politécnica de Madrid

Verified email at fi.upm.es - Homepage

Bayesian Networks Feature Selection Estimation of Distribution Algorithms Industry 4.0


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A review of feature selection techniques in bioinformatics Y Saeys, I Inza, P Larranaga bioinformatics 23 (19), 2507-2517, 2007	6147	2007
Estimation of distribution algorithms: A new tool for evolutionary computation P Larrañaga, JA Lozano Springer Science & Business Media, 2012	3312	2012
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	1249	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	1226	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	1117	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	937	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	740	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	619	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	591	2004
Towards a new evolutionary computation: advances on estimation of distribution algorithms JA Lozano, P Larrañaga, I Inza, E Bengoetxea Springer, 2006	485	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	404	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	375	2000
Global optimization using Bayesian networks R Etxeberria Proc. 2nd Symposium on Artificial Intelligence (CIMAF-99), 1999	353	1999
Discrete Bayesian network classifiers: A survey C Bielza, P Larranaga ACM Computing Surveys (CSUR) 47 (1), 1-43, 2014	346	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	297	2000
Multi-dimensional classification with Bayesian networks C Bielza, G Li, P Larranaga International Journal of Approximate Reasoning 52 (6), 705-727, 2011	275	2011
Optimization by learning and simulation of Bayesian and Gaussian networks P Larranaga 1999 EHU-KZAAIK-4/99, University of the Basque Country, 1999	241	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	229	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	213	2009
A review on evolutionary algorithms in Bayesian network learning and inference tasks P Larranaga, H Karshenas, C Bielza, R Santana Information Sciences 233, 109-125, 2013	197	2013

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