Ricardo Aler
Cited by
Cited by
Learning teaching strategies in an adaptive and intelligent educational system through reinforcement learning
A Iglesias, P Martínez, R Aler, F Fernández
Applied Intelligence 31 (1), 89-106, 2009
Using genetic programming to learn and improve control knowledge
R Aler, D Borrajo, P Isasi
Artificial Intelligence 141 (1-2), 29-56, 2002
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
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
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
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
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
GA-stacking: Evolutionary stacked generalization
A Ledezma, R Aler, A Sanchis, D Borrajo
Intelligent Data Analysis 14 (1), 89-119, 2010
Predicting opponent actions by observation
A Ledezma, R Aler, A Sanchis, D Borrajo
Robot Soccer World Cup, 286-296, 2004
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 (5), 975-990, 2011
Programming Robosoccer agents by modeling human behavior
R Aler, JM Valls, D Camacho, A Lopez
Expert Systems with Applications 36 (2), 1850-1859, 2009
Genetic programming and deductive-inductive learning: A multistrategy approach
R Aler, D Borrajo Millán, P Isasi
Morgan Kaufmann, 1998
A multi-agent architecture for intelligent gathering systems
D Camacho, R Aler, D Borrajo, JM Molina
AI Communications 18 (1), 15-32, 2005
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
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
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
Applying evolution strategies to preprocessing EEG signals for brain–computer interfaces
R Aler, IM Galván, JM Valls
Information Sciences 215, 53-66, 2012
Learning to solve planning problems efficiently by means of genetic programming
R Aler, D Borrajo, P Isasi
Evolutionary computation 9 (4), 387-420, 2001
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
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
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