César Hervás Martínez
César Hervás Martínez
University of Córdoba, Full Professor
Dirección de correo verificada de uco.es - Página principal
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Año
Data mining algorithms to classify students
C Romero, S Ventura, PG Espejo, C Hervás
Proceedings of Educational Data Mining, 20-21, 2008
4522008
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
2772005
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
2282003
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
2142008
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
1992015
CIXL2: a crossover operator for evolutionary algorithms based on population features
D Ortiz-Boyer, C Hervás-Martínez, N García-Pedrajas
Journal of Artificial Intelligence Research 24, 1-48, 2005
1792005
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
1522010
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
1242002
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
1132002
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
1122011
Evolutionary product unit based neural networks for regression
A Martínez-Estudillo, F Martínez-Estudillo, C Hervás-Martínez, ...
Neural Networks 19 (4), 477-486, 2006
1092006
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
1072006
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
1042016
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
1012014
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
942006
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
922015
Evolutionary product-unit neural networks classifiers
FJ Martínez-Estudillo, C Hervás-Martínez, PA Gutiérrez, ...
Neurocomputing 72 (1-3), 548-561, 2008
882008
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
871995
Performance of response surface model for prediction of Leuconostoc mesenteroides growth parameters under different experimental conditions
G Zurera-Cosano, RM García-Gimeno, R Rodríguez-Pérez, ...
Food Control 17 (6), 429-438, 2006
772006
The use of discriminant analysis and neural networks to forecast the severity of the Poaceae pollen season in a region with a typical Mediterranean climate
JA Sánchez Mesa, C Galán, C Hervás
International Journal of Biometeorology 49 (6), 355-362, 2005
772005
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20