| Redes de neuronas artificiales: Un enfoque práctico P Isasi Vinuela, IM Galván León Madrid: Pearson Prentice Hall,, 2004 | 501* | 2004 |
| AMPSO: a new particle swarm method for nearest neighborhood classification A Cervantes, IM Galván, P Isasi IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 123 | 2009 |
| Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks IM Galván, JM Valls, A Cervantes, R Aler Information Sciences 418, 363-382, 2017 | 103 | 2017 |
| The use of neural networks for fitting complex kinetic data IM Galván, JM Zaldívar, H Hernandez, E Molga Computers & Chemical Engineering 20 (12), 1451-1465, 1996 | 97 | 1996 |
| Improving the separation of direct and diffuse solar radiation components using machine learning by gradient boosting R Aler, IM Galván, JA Ruiz-Arias, CA Gueymard Solar Energy 150, 558-569, 2017 | 91 | 2017 |
| Forecasting high waters at Venice Lagoon using chaotic time series analysis and nonlinear neural networks JM Zaldivar, E Gutiérrez, IM Galván, F Strozzi, A Tomasin Journal of Hydroinformatics 2 (1), 61-84, 2000 | 82 | 2000 |
| A short-term solar radiation forecasting system for the Iberian Peninsula. Part 2: Model blending approaches based on machine learning J Huertas-Tato, R Aler, IM Galván, FJ Rodríguez-Benítez, ... Solar Energy 195, 685-696, 2020 | 58 | 2020 |
| A short-term solar radiation forecasting system for the Iberian Peninsula. Part 1: Models description and performance assessment FJ Rodríguez-Benítez, C Arbizu-Barrena, J Huertas-Tato, R Aler-Mur, ... Solar Energy 195, 396-412, 2020 | 52 | 2020 |
| Multi-step learning rule for recurrent neural models: an application to time series forecasting IM Galván, P Isasi Neural processing letters 13, 115-133, 2001 | 48 | 2001 |
| Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models R Martin, R Aler, JM Valls, IM Galván Concurrency and Computation: Practice and Experience 28 (4), 1261-1274, 2016 | 44 | 2016 |
| Automatic cloud type classification based on the combined use of a sky camera and a ceilometer. DPV J. Huertas-Tato, F.J. Rodríguez-Benítez, C. Arbizu-Barrena, R. Aler-Mur ... Journal of Geophysical Research: Atmospher 122 (20), 11045-11061, 2017 | 42* | 2017 |
| A study of machine learning techniques for daily solar energy forecasting using numerical weather models R Aler, R Martín, JM Valls, IM Galván Intelligent distributed computing VIII, 269-278, 2015 | 42 | 2015 |
| Applying evolution strategies to preprocessing EEG signals for brain–computer interfaces R Aler, IM Galván, JM Valls Information Sciences 215, 53-66, 2012 | 37 | 2012 |
| A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm A Cervantes, I Galvan, P Isasi 2005 IEEE Congress on Evolutionary Computation 1, 290-297, 2005 | 36 | 2005 |
| Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks A Alcántara, IM Galván, R Aler Engineering Applications of Artificial Intelligence 114, 105128, 2022 | 29 | 2022 |
| Evolving spatial and frequency selection filters for brain-computer interfaces R Aler, IM Galván, JM Valls IEEE congress on evolutionary computation, 1-7, 2010 | 29 | 2010 |
| Application of recurrent neural networks in batch reactors: Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature IM Galván, JM Zaldıvar Chemical Engineering and Processing: Process Intensification 37 (2), 149-161, 1998 | 28 | 1998 |
| Binary particle swarm optimization in classification A Cervantes, IM Galván, P Isasi Institute of Computer Science, Academy of Sciences of the Czech Republic, 2005 | 27 | 2005 |
| Michigan particle swarm optimization for prototype reduction in classification problems A Cervantes, I Galván, P Isasi New Generation Computing 27, 239-257, 2009 | 26 | 2009 |
| Time-stamped resampling for robust evolutionary portfolio optimization S García, D Quintana, IM Galván, P Isasi Expert Systems with Applications 39 (12), 10722-10730, 2012 | 25 | 2012 |
