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Pedro Larrañaga
Pedro Larrañaga
Professor of Artificial Intelligence - Universidad Politécnica de Madrid
Verified email at fi.upm.es - Homepage
Title
Cited by
Cited by
Year
A review of feature selection techniques in bioinformatics
Y Saeys, I Inza, P Larranaga
bioinformatics 23 (19), 2507-2517, 2007
59312007
Estimation of distribution algorithms: A new tool for evolutionary computation
P Larrañaga, JA Lozano
Springer Science & Business Media, 2001
32352001
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
12001999
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
11991999
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
10442006
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
8822013
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
6632015
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
6091996
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
5812004
Towards a new evolutionary computation: advances on estimation of distribution algorithms
JA Lozano
Springer Science & Business Media, 2006
4682006
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
3931996
Feature subset selection by Bayesian network-based optimization
I Inza, P Larrañaga, R Etxeberria, B Sierra
Artificial intelligence 123 (1-2), 157-184, 2000
3662000
Global optimization using Bayesian networks
R Etxeberria
Proc. 2nd Symposium on Artificial Intelligence (CIMAF-99), 1999
3511999
Discrete Bayesian network classifiers: A survey
C Bielza, P Larranaga
ACM Computing Surveys (CSUR) 47 (1), 1-43, 2014
3152014
Optimization in continuous domains by learning and simulation of Gaussian networks
P Larranaga
Proc. of the 2000 Genetic and Evolutionary Computation Conference Workshop …, 2000
2872000
Multi-dimensional classification with Bayesian networks
C Bielza, G Li, P Larranaga
International Journal of Approximate Reasoning 52 (6), 705-727, 2011
2662011
Optimization by learning and simulation of Bayesian and Gaussian networks
P Larranaga
1999 EHU-KZAAIK-4/99, University of the Basque Country, 1999
2371999
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
2002009
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
1962020
Elvira: An enviroment for creating and using probabilistic graphical models
E Consortium
Proceedings of the First European Workshop on Probabilistic Graphical Models …, 2002
1902002
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