Jose-Maria (Chema) Peña
Jose-Maria (Chema) Peña
Lurtis Ltd., Universidad Politécnica de Madrid
Verified email at - Homepage
Cited by
Cited by
Feature selection for multi-label naive Bayes classification
ML Zhang, JM Peña, V Robles
Information Sciences 179 (19), 3218-3229, 2009
Mechanistic models versus machine learning, a fight worth fighting for the biological community?
RE Baker, JM Pena, J Jayamohan, A Jérusalem
Biology letters 14 (5), 20170660, 2018
Large scale global optimization: Experimental results with MOS-based hybrid algorithms
A LaTorre, S Muelas, JM Peña
2013 IEEE congress on evolutionary computation, 2742-2749, 2013
A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test
A LaTorre, S Muelas, JM Peña
Soft Computing-A Fusion of Foundations, Methodologies and Applications 15 …, 2011
A comprehensive comparison of large scale global optimizers
A LaTorre, S Muelas, JM Peña
Information Sciences 316, 517-549, 2015
GA-EDA: Hybrid evolutionary algorithm using genetic and estimation of distribution algorithms
J Pena, V Robles, P Larranaga, V Herves, F Rosales, M Perez
Innovations in Applied Artificial Intelligence, 361-371, 2004
A multicenter study of the early detection of synaptic dysfunction in Mild Cognitive Impairment using Magnetoencephalography-derived functional connectivity
F Maestú, JM Peña, P Garcés, S González, R Bajo, A Bagic, P Cuesta, ...
NeuroImage: Clinical 9, 103-109, 2015
An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering
JM Peña, JA Lozano, P Larrañaga
Pattern Recognition Letters 21 (8), 779-786, 2000
Multiple Offspring Sampling in Large Scale Global Optimization
A LaTorre, S Muelas, JM Pena
Evolutionary Computation (CEC), 2012 IEEE Congress on, 1-8, 2012
Bayesian network multi-classifiers for protein secondary structure prediction
V Robles, P Larranaga, JM Pena, E Menasalvas, MS Perez, V Herves, ...
Artificial Intelligence in Medicine 31 (2), 117-136, 2004
Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images
A LaTorre, L Alonso-Nanclares, S Muelas, JM Peña, J DeFelipe
Expert Systems with Applications 40 (16), 6521-6530, 2013
A computational model coupling mechanics and electrophysiology in spinal cord injury
A Jérusalem, JA García-Grajales, A Merchán-Pérez, JM Peña
Biomechanics and modeling in mechanobiology 13, 883-896, 2014
Design and implementation of a data mining grid-aware architecture
MS Pérez, A Sánchez, V Robles, P Herrero, JM Peña
Future Generation Computer Systems 23 (1), 42-47, 2007
A variable neighborhood search algorithm for the optimization of a dial-a-ride problem in a large city
S Muelas, A LaTorre, JM Peña
Expert Systems with Applications 40 (14), 5516-5531, 2013
A distributed VNS algorithm for optimizing dial-a-ride problems in large-scale scenarios
S Muelas, A LaTorre, JM Pena
Transportation Research Part C: Emerging Technologies 54, 110-130, 2015
A memetic differential evolution algorithm for continuous optimization
S Muelas, A La Torre, J Pea
Intelligent Systems Design and Applications, 2009. ISDA'09. Ninth …, 2009
Application of rough sets algorithms to prediction of aircraft component failure
J Peña, S Létourneau, F Famili
Advances in Intelligent Data Analysis, 473-484, 1999
Generation and recovery of airborne delays in air transport
S Belkoura, JM Peña, M Zanin
Transportation Research Part C: Emerging Technologies 69, 436-450, 2016
Scaling laws in bacterial genomes: A side-effect of selection of mutational robustness?
G Beslon, DP Parsons, Y Sanchez-Dehesa, JM Peña, C Knibbe
BioSystems 102 (1), 32-40, 2010
Adapting the weka data mining toolkit to a grid based environment
M Perez, A Sánchez, P Herrero, V Robles, J Peña
Advances in Web Intelligence, 819-820, 2005
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