| KEEL: a software tool to assess evolutionary algorithms for data mining problems J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, ... Soft Computing 13, 307-318, 2009 | 1670 | 2009 |
| Sensitivity versus accuracy in multiclass problems using memetic pareto evolutionary neural networks JC Fernández, FJ Martínez, C Hervás, PA Gutiérrez IEEE Transactions on Neural Networks 21 (5), 750-770, 2010 | 188 | 2010 |
| Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks M Cruz-Ramirez, C Hervas-Martinez, JC Fernandez, J Briceno, ... Artificial intelligence in medicine 58 (1), 37-49, 2013 | 81 | 2013 |
| 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 | 73 | 2015 |
| Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms CR García-Alonso, LM Pérez-Naranjo, JC Fernández-Caballero Annals of operations research 219, 187-202, 2014 | 69 | 2014 |
| 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 | 58 | 2009 |
| Multi-objective evolutionary algorithm for donor–recipient decision system in liver transplants M Cruz-Ramı, C Hervás-Martı, JC Fernández, J Briceño, M de la Mata European Journal of Operational Research 222 (2), 317-327, 2012 | 36 | 2012 |
| Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology JC Fernández, C Hervás, FJ Martínez-Estudillo, PA Gutiérrez Applied soft computing 11 (1), 534-550, 2011 | 34 | 2011 |
| Efficient fog prediction with multi-objective evolutionary neural networks AM Durán-Rosal, JC Fernández, C Casanova-Mateo, J Sanz-Justo, ... Applied Soft Computing 70, 347-358, 2018 | 29 | 2018 |
| Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology M Cruz-Ramírez, J Sánchez-Monedero, F Fernández-Navarro, ... Evolutionary intelligence 3, 187-199, 2010 | 26 | 2010 |
| Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm S Jiménez-Fernández, C Camacho-Gómez, R Mallol-Poyato, ... Sustainability 11 (1), 169, 2019 | 24 | 2019 |
| Memetic Pareto differential evolution for designing artificial neural networks in multiclassification problems using cross-entropy versus sensitivity JC Fernández, C Hervás, FJ Martínez, PA Gutiérrez, M Cruz Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS …, 2009 | 23 | 2009 |
| On the suitability of Extreme Learning Machine for gene classification using feature selection J Sánchez-Monedero, M Cruz-Ramírez, F Fernández-Navarro, ... 2010 10th International Conference on Intelligent Systems Design and …, 2010 | 21 | 2010 |
| Evolutionary learning by a sensitivity-accuracy approach for multi-class problems FJ Martinez-Estudillo, PA Gutiérrez, C Hervás, JC Fernández 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 19 | 2008 |
| Detection and prediction of segments containing extreme significant wave heights AM Durán-Rosal, JC Fernández, PA Gutiérrez, C Hervás-Martínez Ocean Engineering 142, 268-279, 2017 | 17 | 2017 |
| Building suitable datasets for soft computing and machine learning techniques from meteorological data integration: A case study for predicting significant wave height and … AM Gómez-Orellana, JC Fernández, M Dorado-Moreno, PA Gutiérrez, ... Energies 14 (2), 468, 2021 | 16 | 2021 |
| Multi-objective evolutionary optimization using the relationship between F1 and accuracy metrics in classification tasks JC Fernández, M Carbonero, PA Gutiérrez, C Hervás-Martínez Applied Intelligence, 2019 | 16 | 2019 |
| Hyperbolic tangent basis function neural networks training by hybrid evolutionary programming for accurate short-term wind speed prediction C Hervás-Martínez, PA Gutiérrez, JC Fernández, S Salcedo-Sanz, ... 2009 Ninth International Conference on Intelligent Systems Design and …, 2009 | 16 | 2009 |
| Sensitivity versus accuracy in ensemble models of artificial neural networks from multi-objective evolutionary algorithms JC Fernández, M Cruz-Ramirez, C Hervás-Martínez Neural Computing and Applications 30, 289-305, 2018 | 10 | 2018 |
| Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals A Rivero-Juárez, D Guijo-Rubio, F Tellez, R Palacios, D Merino, J Macías, ... Plos one 15 (1), e0227188, 2020 | 7 | 2020 |
