| 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, 2016 | 330 | 2016 |
| 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 | 142 | 2011 |
| Learner support in MOOCs: Identifying variables linked to completion EB Gregori, J Zhang, C Galván-Fernández, F de Asís Fernández-Navarro Computers & Education 122, 153-168, 2018 | 107 | 2018 |
| Measuring teachers and learners’ perceptions of the quality of their online learning experience P Gómez-Rey, E Barbera, F Fernández-Navarro Distance Education 37 (2), 146-163, 2016 | 93 | 2016 |
| MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks F Fernández-Navarro, C Hervás-Martínez, J Sánchez-Monedero, ... Neurocomputing 74 (16), 2502-2510, 2011 | 78 | 2011 |
| PCA-ELM: a robust and pruned extreme learning machine approach based on principal component analysis A Castaño, F Fernández-Navarro, C Hervás-Martínez Neural processing letters 37 (3), 377-392, 2013 | 77 | 2013 |
| Evolutionary generalized radial basis function neural networks for improving prediction accuracy in gene classification using feature selection F Fernández-Navarro, C Hervás-Martínez, R Ruiz, JC Riquelme Applied Soft Computing 12 (6), 1787-1800, 2012 | 66 | 2012 |
| The Impact of Cultural Dimensions on Online Learning P Gómez-Rey, E Barbera, F Fernández-Navarro Educational Technology & Society 19 (4), 225-238, 2016 | 65 | 2016 |
| Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine A Riccardi, F Fernández-Navarro, S Carloni IEEE Transaction on Cybernetics 44 (10), 1898 - 1909, 2014 | 65 | 2014 |
| Global Sensitivity Estimates for Neural Network Classifiers. F Fernández-Navarro, M Carbonero-Ruz, AD Becerra, M Torres-Jiménez IEEE Transactions on Neural Networks and Learning Systems 28 (11), 2592-2604, 2017 | 62 | 2017 |
| A cross-national study of teacher’s perceptions of online learning success E Barberà, P Gómez-Rey, F Fernández-Navarro Open Learning: The Journal of Open, Distance and e-Learning 31 (1), 25-41, 2016 | 40 | 2016 |
| 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 | 40 | 2012 |
| Negative Correlation Ensemble Learning for Ordinal Regression F Fernandez-Navarro, PA Gutiérrez, C Hervás-Martínez, X Yao IEEE Transactions on Neural Networks and Learning Systems 24 (11), 1836 - 1849, 2013 | 39 | 2013 |
| Effect of a job demand-control-social support model on accounting professionals’ health perception JJ Del Pozo-Antúnez, A Ariza-Montes, F Fernández-Navarro, ... International journal of environmental research and public health 15 (11), 2437, 2018 | 38 | 2018 |
| Ordinal Neural Networks Without Iterative Tuning F Fernández-Navarro, A Riccardi, S Carloni IEEE Transaction in Neural Networks and Learning Systems 25 (11), 2075-2085, 2014 | 35 | 2014 |
| Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach F Fernandez-Navarro, P Campoy-Munoz, M Paz-Marin, ... IEEE Transaction on Cybernetics 43 (6), 2228-2240, 2013 | 34 | 2013 |
| An experimental study of different ordinal regression methods and measures P Gutiérrez, M Pérez-Ortiz, F Fernández-Navarro, J Sánchez-Monedero, ... Hybrid Artificial Intelligent Systems - Lecture Notes in Computer Science …, 2012 | 34 | 2012 |
| Evolutionary q-Gaussian radial basis functions neural networks for multi-classification F Fernández-Navarro, C Hervás-Martínez, PA Gutierrez, M Carboreno Neural Networks 24 (7), 779–784, 2011 | 34 | 2011 |
| Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises PA Gutiérrez, MJ Segovia-Vargas, S Salcedo-Sanz, C Hervás-Martínez, ... Omega 38 (5), 333-344, 2010 | 34 | 2010 |
| Development of a multi-classification neural network model to determine the microbial growth/no growth interface F Fernández-Navarro, A Valero, C Hervás-Martínez, PA Gutiérrez, ... International Journal of Food Microbiology 141 (3), 203-212, 2010 | 34 | 2010 |
César Hervás MartínezUniversity of Córdoba, Full ProfessorVerified email at uco.es
