| Data mining algorithms to classify students C Romero, S Ventura, PG Espejo, C Hervás Proceedings of Educational Data Mining, 20-21, 2008 | 456 | 2008 |
| 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 | 277 | 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 | 228 | 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 | 216 | 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 | 200 | 2015 |
| 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 | 180 | 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 | 152 | 2010 |
| 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 | 124 | 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 | 113 | 2002 |
| 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 | 112 | 2011 |
| Evolutionary product unit based neural networks for regression A Martínez-Estudillo, F Martínez-Estudillo, C Hervás-Martínez, ... Neural Networks 19 (4), 477-486, 2006 | 109 | 2006 |
| 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 | 107 | 2006 |
| 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 | 105 | 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 | 102 | 2014 |
| 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 | 94 | 2006 |
| 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 | 92 | 2015 |
| Evolutionary product-unit neural networks classifiers FJ Martínez-Estudillo, C Hervás-Martínez, PA Gutiérrez, ... Neurocomputing 72 (1-3), 548-561, 2008 | 88 | 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 | 87 | 1995 |
| 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 | 77 | 2006 |
| 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 | 77 | 2005 |
Pedro Antonio GutiérrezAssistant Professor of Computer Science, University of Córdoba (Spain)Verified email at uco.es
