juan rabuñal
juan rabuñal
Profesor de Informática (UDC)
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Cited by
Cited by
Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks
L Guo, D Rivero, J Dorado, JR Rabunal, A Pazos
Journal of neuroscience methods 191 (1), 101-109, 2010
Artificial neural networks in real-life applications
JR Rabunal, J Dorado
IGI Global, 2006
Introducción a los algoritmos genéticos y la programación genética
Marcos; Rivero Gestal (Daniel; Rabuñal, Juan Ramón; Dorado, Julián; Pazos ...
Universidade da Coruña, 2010
Prediction and modeling of the rainfall-runoff transformation of a typical urban basin using ANN and GP
J Dorado, JR RabuñAL, A Pazos, D Rivero, A Santos, J Puertas
Applied Artificial Intelligence 17 (4), 329-343, 2003
Determination of the unit hydrograph of a typical urban basin using genetic programming and artificial neural networks
JR Rabunal, J Puertas, J Suarez, D Rivero
Hydrological Processes: An International Journal 21 (4), 476-485, 2007
Artificial intelligence techniques for colorectal cancer drug metabolism: ontologies and complex networks
M Martinez-Romero, JM Vazquez-Naya, J R Rabunal, S Pita-Fernandez, ...
Current drug metabolism 11 (4), 347-368, 2010
Drug discovery and design for complex diseases through QSAR computational methods
C R Munteanu, E Fernández-Blanco, J A Seoane, P Izquierdo-Novo, ...
Current pharmaceutical design 16 (24), 2640-2655, 2010
Computer application for the analysis and design of vertical slot fishways in accordance with the requirements of the target species
J Puertas, L Cea, M Bermúdez, L Pena, Á Rodríguez, JR Rabuñal, ...
Ecological Engineering 48, 51-60, 2012
Encyclopedia of artificial intelligence
JR Rabunal, J Dorado, AP Sierra
IGI Global, 2009
A new approach to the extraction of ANN rules and to their generalization capacity through GP
JR Rabuñal, J Dorado, A Pazos, J Pereira, D Rivero
Neural computation 16 (7), 1483-1523, 2004
Performance of artificial neural networks in nearshore wave power prediction
A Castro, R Carballo, G Iglesias, JR Rabuñal
Applied Soft Computing 23, 194-201, 2014
Optimization of existing equations using a new Genetic Programming algorithm: Application to the shear strength of reinforced concrete beams
JL Pérez, A Cladera, JR Rabuñal, F Martínez-Abella
Advances in Engineering Software 50, 82-96, 2012
Optical fish trajectory measurement in fishways through computer vision and artificial neural networks
Á Rodriguez, M Bermúdez, JR Rabuñal, J Puertas, J Dorado, L Pena, ...
Journal of Computing in Civil Engineering 25 (4), 291-301, 2011
Generation and simplification of Artificial Neural Networks by means of Genetic Programming
D Rivero, J Dorado, J Rabuñal, A Pazos
Neurocomputing 73 (16-18), 3200-3223, 2010
Plasmod-PPI: A web-server predicting complex biopolymer targets in plasmodium with entropy measures of protein–protein interactions
Y Rodriguez-Soca, CR Munteanu, J Dorado, J Rabunal, A Pazos, ...
Polymer 51 (1), 264-273, 2010
Optimal adjustment of EC-2 shear formulation for concrete elements without web reinforcement using Genetic Programming
JL Pérez, A Cladera, JR Rabuñal, FM Abella
Engineering Structures 32 (11), 3452-3466, 2010
Fish tracking in vertical slot fishways using computer vision techniques
A Rodriguez, M Bermudez, JR Rabunal, J Puertas
Journal of Hydroinformatics 17 (2), 275-292, 2015
Prediction and modelling of the flow of a typical urban basin through genetic programming
J Dorado, JR Rabuñal, J Puertas, A Santos, D Rivero
Workshops on Applications of Evolutionary Computation, 190-201, 2002
Machine learning techniques for single nucleotide polymorphism—disease classification models in schizophrenia
V Aguiar-Pulido, JA Seoane, JR Rabuñal, J Dorado, A Pazos, ...
Molecules 15 (7), 4875-4889, 2010
Evolutionary computation and QSAR research
V Aguiar-Pulido, M Gestal, M Cruz-Monteagudo, JR Rabuñal, J Dorado, ...
Current computer-aided drug design 9 (2), 206-225, 2013
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