| Ordinal regression methods: survey and experimental study PA Gutiérrez, M Pérez-Ortiz, J Sánchez-Monedero, F Fernández-Navarro, ... IEEE Transactions on Knowledge and Data Engineering 28 (1), 127-146, 2016 | 239 | 2016 |
| Sensitivity versus accuracy in multiclass problems using memetic pareto evolutionary neural networks JC Fernández, FJ Martínez-Estudillo, C Hervás, PA Gutiérrez IEEE Transactions on Neural Networks 21 (5), 750-770, 2010 | 159 | 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 | 124 | 2016 |
| A dynamic over-sampling procedure based on sensitivity for multi-class problems F Fernández-Navarro, C Hervás-Martínez, P Antonio Gutiérrez Pattern Recognition 44 (8), 1821-1833, 2011 | 118 | 2011 |
| 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 | 117 | 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 | 114 | 2015 |
| Evolutionary product-unit neural networks classifiers FJ Martínez-Estudillo, C Hervás-Martínez, PA Gutiérrez, ... Neurocomputing 72 (1-3), 548-561, 2008 | 92 | 2008 |
| Logistic regression by means of evolutionary radial basis function neural networks PA Gutiérrez, C Hervás-Martínez, FJ Martínez-Estudillo IEEE Transactions on Neural Networks 22 (2), 246-263, 2011 | 78 | 2011 |
| 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 | 72 | 2014 |
| MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks F Fernández-Navarro, C Hervás-Martínez, J Sanchez-Monedero, ... Neurocomputing 74 (16), 2502-2510, 2011 | 71 | 2011 |
| 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 | 67 | 2016 |
| Combined projection and kernel basis functions for classification in evolutionary neural networks PA Gutiérrez, C Hervás, M Carbonero, JC Fernández Neurocomputing 72 (13-15), 2731-2742, 2009 | 53 | 2009 |
| Graph-Based Approaches for Over-sampling in the context of Ordinal Regression M Perez-Ortiz, P Gutierrez, C Hervas Martinez, X Yao IEEE Transactions on Knowledge and Data Engineering 27 (5), 1233-1245, 2015 | 52 | 2015 |
| Projection-Based Ensemble Learning for Ordinal Regression. M Perez-Ortiz, PA Gutiérrez, C Hervás-Martínez IEEE transactions on cybernetics 44 (5), 681-694, 2014 | 48 | 2014 |
| Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data PA Gutiérrez, F López-Granados, JM Peña-Barragán, M Jurado-Expósito, ... computers and electronics in agriculture 64 (2), 293-306, 2008 | 46 | 2008 |
| Significant wave height and energy flux range forecast with machine learning classifiers JC Fernández, S Salcedo-Sanz, PA Gutiérrez, E Alexandre, ... Engineering Applications of Artificial Intelligence 43, 44-53, 2015 | 39 | 2015 |
| Mapping sunflower yield as affected by Ridolfia segetum patches and elevation by applying evolutionary product unit neural networks to remote sensed data PA Gutiérrez, F López-Granados, JM Peña-Barragán, M Jurado-Expósito, ... Computers and Electronics in Agriculture 60 (2), 122-132, 2008 | 38 | 2008 |
| Exploitation of pairwise class distances for ordinal classification J Sánchez-Monedero, PA Gutiérrez, P Tiňo, C Hervás-Martínez Neural computation 25 (9), 2450-2485, 2013 | 36 | 2013 |
| Parameter estimation of q-Gaussian radial basis functions neural networks with a hybrid algorithm for binary classification F Fernández-Navarro, C Hervás-Martínez, PA Gutiérrez, ... Neurocomputing 75 (1), 123-134, 2012 | 36 | 2012 |
| Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images A Sáez, J Sánchez-Monedero, PA Gutiérrez, C Hervás-Martínez IEEE transactions on medical imaging 35 (4), 1036-1045, 2015 | 34 | 2015 |
César Hervás MartínezUniversity of Córdoba, Full ProfessorVerified email at uco.es
