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
Víctor RoblesUniversidad Politécnica de MadridVerified email at fi.upm.es
Endika BengoetxeaUniversity of the Basque CountryVerified email at ehu.es
Rubén ArmañanzasDATAI / UNavVerified email at ieee.org
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
Alfonso Ibáñez MartínTelefonica TechVerified email at telefonica.com
Bojan MihaljevićUniversidad Politécnica de MadridVerified email at fi.upm.es
Hossein KarshenasAssociate Professor, Artificial Intelligence Department, University of IsfahanVerified email at eng.ui.ac.ir
Javier Diaz-RozoCTO at Aingura IIoTVerified email at ainguraiiot.com

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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1 APPENDIX. Proofs of the results P Fernandez-Gonzalez, C Bielza, P Larranaga
2. gaia. K-NN sailkatzaileak P Larranaga, I Inza, A Moujahid
3D morphology-based clustering and simulation of human pyramidal cell dendritic spines S Luengo-Sanchez, I Fernaud-Espinosa, C Bielza, R Benavides-Piccione, ... PLoS computational biology 14 (6), e1006221, 2018	28	2018
5. Sailkatzaile Bayestarrak P Larranaga, I Inza, A Moujahid
A Bayesian network model for linear circular data S Kato, I Leguey Vitoriano, MC Bielza Lozoya, PM Larrañaga Múgica ETSI_Informatica, 2017		2017
A circular-linear dependence measure under Johnson–Wehrly distributions and its application in Bayesian networks I Leguey, P Larrañaga, C Bielza, S Kato Information Sciences 486, 240-253, 2019	8	2019
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	212	2020
A comparison of clustering quality indices using outliers and noise L Guerra, V Robles, C Bielza, P Larrañaga Intelligent Data Analysis 16 (4), 703-715, 2012	66	2012
A directional-linear Bayesian network and its application for clustering and simulation of neural somas S Luengo-Sanchez, P Larranaga, C Bielza IEEE Access 7, 69907-69921, 2019	9	2019
A fast Metropolis-Hastings method for generating random correlation matrices I Córdoba, G Varando, C Bielza, P Larrañaga International Conference on Intelligent Data Engineering and Automated …, 2018	5	2018
A guide to the literature on inferring genetic networks by probabilistic graphical models P Larranaga, I Inza, JL Flores Data analysis and visualization in genomics and proteomics, 215-238, 2005	10	2005
A new feature extraction method for signal classification applied to cord dorsum potential detection D Vidaurre, EE Rodriguez, C Bielza, P Larranaga, P Rudomin Journal of neural engineering 9 (5), 056009, 2012	4	2012
A new measure for gene expression biclustering based on non-parametric correlation JL Flores, I Inza, P Larranaga, B Calvo Computer methods and programs in biomedicine 112 (3), 367-397, 2013	59	2013
A partial orthogonalization method for simulating covariance and concentration graph matrices I Córdoba, G Varando, C Bielza, P Larranaga International Conference on Probabilistic Graphical Models, 61-72, 2018	3	2018
A partially supervised classification approach to dominant and recessive human disease gene prediction B Calvo, N López-Bigas, SJ Furney, P Larrañaga, JA Lozano Computer methods and programs in biomedicine 85 (3), 229-237, 2007	33	2007
A probabilistic perspective for optimizing the parameters of quantum heuristics using evolutionary algorithms VP Soloviev, P Larranaga, C Bielza
A prognostic score for children with acote meningo coccemia is proposed. We reviewed 176 consecutive patients with acote meningococcemia with ten fatalities admitted to our … P LARRAÑAGA, JL JIMINEZ, M LABIANO, I OZCOIDI Crit Care Med 16, 168, 1988		1988
A regularity index for dendrites-local statistics of a neuron's input space L Anton-Sanchez, F Effenberger, C Bielza, P Larrañaga, H Cuntz PLoS Computational Biology 14 (11), e1006593, 2018	4	2018
A review of cooperation between evolutionary computation and probablistic graphical models R Larranaga Proc. of the Second Symposium on Artificial Intelligence CIMAF 99, 1999	56	1999
A review of estimation of distribution algorithms in bioinformatics R Armañanzas, I Inza, R Santana, Y Saeys, JL Flores, JA Lozano, ... BioData mining 1, 1-12, 2008	138	2008

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