Ricardo Aler

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	All	Since 2016
Citations	1263	413
h-index	20	11
i10-index	38	12

120

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Co-authors

Daniel BorrajoProfessor of Computer Science, Universidad Carlos III de MadridVerified email at ia.uc3m.es
David CamachoUniversidad Politécnica de MadridVerified email at upm.es
Pedro IsasiComputer Science, Carlos III of Madrid UniversityVerified email at ia.uc3m.es
Jose Manuel Molina LópezProfessor of Computer Science, Universidad Carlos III de MadridVerified email at ia.uc3m.es
Fernando FernándezProfesor Titular Universidad Carlos III de Madrid (UC3M)Verified email at inf.uc3m.es
Ana IglesiasAssociate Professor - Computer Science and Engineering Department - Universidad Carlos III de MadridVerified email at inf.uc3m.es
Antonio J. NebroUniversity of MálagaVerified email at lcc.uma.es
Miguel A. Vega-RodríguezUniversity of Extremadura, SpainVerified email at unex.es
Enrique AlbaProfessor of Computer Science, University of MálagaVerified email at lcc.uma.es
Jose M. Chaves-GonzálezInvestigador (Universidad de Extremadura)Verified email at unex.es
Francisco LunaUniversidad de Málaga, SpainVerified email at lcc.uma.es
Coromoto LeónUniversidad de La LagunaVerified email at ull.edu.es
Carlos SeguraCentro de Investigación en MatemáticasVerified email at cimat.mx
Beatriz García JiménezPostdoc in Center for Plant Biotechnology and Genomics (CBGP), Universidad Politécnica de MadridVerified email at upm.es
Antonio BerlangaAssociate ProfessorVerified email at ia.uc3m.es
Sandra García RodríguezResearcher Engineer, PhDVerified email at cea.fr
Julia HandlProfessor in Decision Sciences & Alan Turing Fellow, The University of ManchesterVerified email at manchester.ac.uk
Joshua KnowlesInvenia Labs; University of Birmingham; University of ManchesterVerified email at invenialabs.co.uk

Ricardo Aler

Universidad Carlos III de Madrid

Verified email at inf.uc3m.es

Machine Learning Evolutionary Computation


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Using genetic programming to learn and improve control knowledge R Aler, D Borrajo, P Isasi Artificial Intelligence 141 (1-2), 29-56, 2002	79	2002
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	78	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	58	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	49	2009
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	43	2002
Predicting opponent actions by observation A Ledezma, R Aler, A Sanchis, D Borrajo Robot Soccer World Cup, 286-296, 2004	40	2004
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	38	2017
Programming Robosoccer agents by modeling human behavior R Aler, JM Valls, D Camacho, A Lopez Expert Systems with Applications 36 (2), 1850-1859, 2009	37	2009
Genetic programming and deductive-inductive learning: A multistrategy approach R Aler, D Borrajo Millán, P Isasi Morgan Kaufmann, 1998	37	1998
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	35	2011
GA-stacking: Evolutionary stacked generalization A Ledezma, R Aler, A Sanchis, D Borrajo Intelligent Data Analysis 14 (1), 89-119, 2010	35	2010
A multi-agent architecture for intelligent gathering systems D Camacho, R Aler, D Borrajo, JM Molina AI Communications 18 (1), 15-32, 2005	35	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	33	2008
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	31	2017
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	30	2005
Applying evolution strategies to preprocessing EEG signals for brain–computer interfaces R Aler, IM Galván, JM Valls Information Sciences 215, 53-66, 2012	28	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	27	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	21	2016
Mapweb: Cooperation between planning agents and web agents D Camacho, JM Molina López, D Borrajo Millán, R Aler ProCon Ltd, 2002	21	2002
OMBO: An opponent modeling approach A Ledezma, R Aler, A Sanchis, D Borrajo Ai Communications 22 (1), 21-35, 2009	20	2009

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