Learning teaching strategies in an adaptive and intelligent educational system through reinforcement learning A Iglesias, P Martínez, R Aler, F Fernández Applied Intelligence 31, 89-106, 2009 | 122 | 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 | 98 | 2017 |
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 | 87 | 2017 |
Using genetic programming to learn and improve control knowledge R Aler, D Borrajo, P Isasi Artificial Intelligence 141 (1-2), 29-56, 2002 | 83 | 2002 |
Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems A Iglesias, P Martínez, R Aler, F Fernández Knowledge-Based Systems 22 (4), 266-270, 2009 | 82 | 2009 |
Performance evaluation of zeus, jade, and skeletonagent frameworks D Camacho, R Aler, C Castro, JM Molina IEEE International Conference on Systems, Man and Cybernetics 4, 6 pp. vol. 4, 2002 | 62 | 2002 |
GA-stacking: Evolutionary stacked generalization A Ledezma, R Aler, A Sanchis, D Borrajo Intelligent Data Analysis 14 (1), 89-119, 2010 | 59 | 2010 |
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 | 49 | 2020 |
A knowledge-based approach for business process reengineering, SHAMASH R Aler, D Borrajo, D Camacho, A Sierra-Alonso Knowledge-Based Systems 15 (8), 473-483, 2002 | 48 | 2002 |
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 | 47 | 2020 |
Programming Robosoccer agents by modeling human behavior R Aler, JM Valls, D Camacho, A Lopez Expert Systems with Applications 36 (2), 1850-1859, 2009 | 43 | 2009 |
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 | 41 | 2016 |
Automatic cloud‐type classification based on the combined use of a sky camera and a ceilometer J Huertas‐Tato, FJ Rodríguez‐Benítez, C Arbizu‐Barrena, R Aler‐Mur, ... Journal of Geophysical Research: Atmospheres 122 (20), 11,045-11,061, 2017 | 40 | 2017 |
Optimization algorithms for large-scale real-world instances of the frequency assignment problem F Luna, C Estébanez, C León, JM Chaves-González, AJ Nebro, R Aler, ... Soft Computing 15, 975-990, 2011 | 39 | 2011 |
Predicting opponent actions by observation A Ledezma, R Aler, A Sanchis, D Borrajo RoboCup 2004: Robot Soccer World Cup VIII 8, 286-296, 2005 | 39 | 2005 |
Correcting and improving imitation models of humans for robosoccer agents R Aler, O Garcia, JM Valls 2005 IEEE Congress on Evolutionary Computation 3, 2402-2409, 2005 | 38 | 2005 |
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 | 37 | 2015 |
Metaheuristics for solving a real-world frequency assignment problem in GSM networks F Luna, C Estébanez, C León, JM Chaves-González, E Alba, R Aler, ... Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 37 | 2008 |
Applying evolution strategies to preprocessing EEG signals for brain–computer interfaces R Aler, IM Galván, JM Valls Information Sciences 215, 53-66, 2012 | 36 | 2012 |
A multi-agent architecture for intelligent gathering systems D Camacho, R Aler, D Borrajo, JM Molina AI Communications 18 (1), 15-32, 2005 | 36 | 2005 |