César Hervás Martínez
César Hervás Martínez
University of Córdoba, Full Professor
Dirección de correo verificada de uco.es - Página principal
Citado por
Citado por
Data mining algorithms to classify students
C Romero, S Ventura, PG Espejo, C Hervás
Proceedings of Educational Data Mining, 20-21, 2008
Ordinal regression methods: survey and experimental study
PA Gutiérrez, M Perez-Ortiz, J Sanchez-Monedero, F Fernandez-Navarro, ...
IEEE Transactions on Knowledge and Data Engineering 28 (1), 127-146, 2015
Cooperative coevolution of artificial neural network ensembles for pattern classification
N García-Pedrajas, C Hervás-Martínez, D Ortiz-Boyer
IEEE transactions on evolutionary computation 9 (3), 271-302, 2005
COVNET: a cooperative coevolutionary model for evolving artificial neural networks
N García-Pedrajas, C Hervás-Martínez, J Muñoz-Pérez
IEEE Transactions on Neural Networks 14 (3), 575-596, 2003
JCLEC: a Java framework for evolutionary computation
S Ventura, C Romero, A Zafra, JA Delgado, C Hervás
Soft Computing-A Fusion of Foundations, Methodologies and Applications 12 (4 …, 2008
Cixl2: A crossover operator for evolutionary algorithms based on population features
D Ortiz-Boyer, C Hervás-Martínez, N Garcia-Pedrajas
Journal of Artificial Intelligence Research 24, 1-48, 2005
Sensitivity versus accuracy in multiclass problems using memetic pareto evolutionary neural networks
JCF Caballero, FJ Martínez, C Hervás, PA Gutiérrez
IEEE Transactions on Neural Networks 21 (5), 750-770, 2010
Selecting patterns and features for between-and within-crop-row weed mapping using UAV-imagery
M Pérez-Ortiz, JM Peña, PA Gutiérrez, J Torres-Sánchez, ...
Expert Systems with Applications 47, 85-94, 2016
Object-based image classification of summer crops with machine learning methods
JM Peña, PA Gutiérrez, C Hervás-Martínez, J Six, RE Plant, ...
Remote Sensing 6 (6), 5019-5041, 2014
A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method
M Pérez-Ortiz, JM Peña, PA Gutiérrez, J Torres-Sánchez, ...
Applied Soft Computing 37, 533-544, 2015
A dynamic over-sampling procedure based on sensitivity for multi-class problems
F Fernández-Navarro, C Hervás-Martínez, PA Gutiérrez
Pattern Recognition 44 (8), 1821-1833, 2011
Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks)
N Garcıa-Pedrajas, C Hervás-Martıneza, J Munoz-Pérez
Neural Networks 15 (10), 1255-1274, 2002
Improving artificial neural networks with a pruning methodology and genetic algorithms for their application in microbial growth prediction in food
RM Garcı́a-Gimeno, C Hervás-Martınez, MI de Silóniz
International Journal of Food Microbiology 72 (1-2), 19-30, 2002
Hybridization of evolutionary algorithms and local search by means of a clustering method
AC Martínez-Estudillo, C Hervás-Martínez, FJ Martínez-Estudillo, ...
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006
Evolutionary product unit based neural networks for regression
A Martínez-Estudillo, F Martínez-Estudillo, C Hervás-Martínez, ...
Neural Networks 19 (4), 477-486, 2006
An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization
N García-Pedrajas, D Ortiz-Boyer, C Hervás-Martínez
Neural Networks 19 (4), 514-528, 2006
Evolutionary product-unit neural networks classifiers
FJ Martínez-Estudillo, C Hervás-Martínez, PA Gutiérrez, ...
Neurocomputing 72 (1-3), 548-561, 2008
Artificial neural networks for estimation of kinetic analytical parameters
S Ventura, M Silva, D Perez-Bendito, C Hervas
Analytical Chemistry 67 (9), 1521-1525, 1995
A review of classification problems and algorithms in renewable energy applications
M Pérez-Ortiz, S Jiménez-Fernández, PA Gutiérrez, E Alexandre, ...
Energies 9 (8), 607, 2016
Metrics to guide a multi-objective evolutionary algorithm for ordinal classification
M Cruz-Ramírez, C Hervás-Martínez, J Sánchez-Monedero, PA Gutiérrez
Neurocomputing 135, 21-31, 2014
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