| Hybridization of intelligent techniques and ARIMA models for time series prediction O Valenzuela, I Rojas, F Rojas, H Pomares, LJ Herrera, A Guillén, ... Fuzzy sets and systems 159 (7), 821-845, 2008 | 209 | 2008 |
| Soft-computing techniques and ARMA model for time series prediction I Rojas, O Valenzuela, F Rojas, A Guillén, LJ Herrera, H Pomares, ... Neurocomputing 71 (4-6), 519-537, 2008 | 195 | 2008 |
| Recursive prediction for long term time series forecasting using advanced models LJ Herrera, H Pomares, I Rojas, A Guillén, A Prieto, O Valenzuela Neurocomputing 70 (16-18), 2870-2880, 2007 | 81 | 2007 |
| Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time I Rojas, H Pomares, J Gonzalez, LJ Herrera, A Guillén, F Rojas, ... Fuzzy Sets and Systems 157 (16), 2241-2258, 2006 | 67 | 2006 |
| Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms J González, I Rojas, H Pomares, LJ Herrera, A Guillén, JM Palomares, ... International Journal of Approximate Reasoning 44 (1), 32-44, 2007 | 54 | 2007 |
| Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification LJ Herrera, CM Fernandes, AM Mora, D Migotina, R Largo, A Guillén, ... International journal of neural systems 23 (03), 1350012, 2013 | 53 | 2013 |
| Analysing user trust in electronic banking using data mining methods F Liébana-Cabanillas, R Nogueras, LJ Herrera, A Guillén Expert Systems with Applications 40 (14), 5439-5447, 2013 | 48 | 2013 |
| Duroc and Iberian pork neural network classification by visible and near infrared reflectance spectroscopy FG Del Moral, A Guillén, LG Del Moral, F O’valle, L Martínez, ... Journal of Food Engineering 90 (4), 540-547, 2009 | 48 | 2009 |
| New method for instance or prototype selection using mutual information in time series prediction A Guillén, LJ Herrera, G Rubio, H Pomares, A Lendasse, I Rojas Neurocomputing 73 (10-12), 2030-2038, 2010 | 42 | 2010 |
| Effective input variable selection for function approximation LJ Herrera, H Pomares, I Rojas, M Verleysen, A Guilén International Conference on Artificial Neural Networks, 41-50, 2006 | 41 | 2006 |
| Classification of MRI images for Alzheimer's disease detection LJ Herrera, I Rojas, H Pomares, A Guillén, O Valenzuela, O Baños 2013 International Conference on Social Computing, 846-851, 2013 | 39 | 2013 |
| Parallel multiobjective memetic rbfnns design and feature selection for function approximation problems A Guillén, H Pomares, J González, I Rojas, O Valenzuela, B Prieto Neurocomputing 72 (16-18), 3541-3555, 2009 | 37 | 2009 |
| Minimising the delta test for variable selection in regression problems A Guillen, D Sovilj, A Lendasse, F Mateo, I Rojas International Journal of High Performance Systems Architecture 1 (4), 269-281, 2008 | 36 | 2008 |
| Output value-based initialization for radial basis function neural networks A Guillén, I Rojas, J González, H Pomares, LJ Herrera, O Valenzuela, ... Neural Processing Letters 25 (3), 209-225, 2007 | 30 | 2007 |
| Global and local modelling in RBF networks LJ Herrera, H Pomares, I Rojas, A Guillén, G Rubio, J Urquiza Neurocomputing 74 (16), 2594-2602, 2011 | 28 | 2011 |
| Improving clustering technique for functional approximation problem using fuzzy logic: ICFA algorithm A Guillén, I Rojas, J González, H Pomares, LJ Herrera, O Valenzuela, ... International Work-Conference on Artificial Neural Networks, 272-279, 2005 | 27 | 2005 |
| Multi-sensor fusion based on asymmetric decision weighting for robust activity recognition O Banos, M Damas, A Guillen, LJ Herrera, H Pomares, I Rojas, ... Neural Processing Letters 42 (1), 5-26, 2015 | 26 | 2015 |
| Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks A Guillén, FG Del Moral, LJ Herrera, G Rubio, I Rojas, O Valenzuela, ... Neural Computing and Applications 19 (3), 465-470, 2010 | 25 | 2010 |
| Studying possibility in a clustering algorithm for RBFNN design for function approximation A Guillén, H Pomares, I Rojas, J González, LJ Herrera, F Rojas, ... Neural Computing and Applications 17 (1), 75-89, 2008 | 25 | 2008 |
| Using fuzzy logic to improve a clustering technique for function approximation A Guillén, J González, I Rojas, H Pomares, LJ Herrera, O Valenzuela, ... Neurocomputing 70 (16-18), 2853-2860, 2007 | 25 | 2007 |
