Daniel Rivero
Cited by
Cited by
Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks
L Guo, D Rivero, A Pazos
Journal of neuroscience methods 193 (1), 156-163, 2010
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
Automatic feature extraction using genetic programming: An application to epileptic EEG classification
L Guo, D Rivero, J Dorado, CR Munteanu, A Pazos
Expert Systems with Applications 38 (8), 10425-10436, 2011
Classification of EEG signals using relative wavelet energy and artificial neural networks
L Guo, D Rivero, JA Seoane, A Pazos
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary …, 2009
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
Introducción a los algoritmos genéticos y la programación genética
Marcos; Rivero Gestal (Daniel; Rabuñal, Juan Ramón; Dorado, Julián; Pazos ...
Universidade da Coruña, 2010
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
Modelo conceptual para la medición del capital intelectual y un procedimiento para su implementación. Caso hotelero
D Rivero
tesis doctoral], Matanzas (Cuba), Universidad de Matanzas, 2009
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
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
Time series forecast with anticipation using genetic programming
D Rivero, JR Rabuñal, J Dorado, A Pazos
International Work-Conference on Artificial Neural Networks, 968-975, 2005
Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques
J Coronel-Reyes, I Ramirez-Morales, E Fernandez-Blanco, D Rivero, ...
Computers and Electronics in Agriculture 145, 1-10, 2018
Classification of signals by means of genetic programming
E Fernández-Blanco, D Rivero, M Gestal, J Dorado
Soft Computing 17 (10), 1929-1937, 2013
A new signal classification technique by means of Genetic Algorithms and kNN
D Rivero, E Fernandez-Blanco, J Dorado, A Pazos
2011 IEEE Congress of Evolutionary Computation (CEC), 581-586, 2011
Optimization of NIR calibration models for multiple processes in the sugar industry
I Ramírez-Morales, D Rivero, E Fernández-Blanco, A Pazos
Chemometrics and Intelligent Laboratory Systems 159, 45-57, 2016
Automatic seizure detection based on star graph topological indices
E Fernandez-Blanco, D Rivero, J Rabunal, J Dorado, A Pazos, ...
Journal of neuroscience methods 209 (2), 410-419, 2012
Artificial neural network development by means of genetic programming with graph codification
D Rivero, J Dorado, JR Rabuñal, A Pazos, J Pereira
Transactions on Engineering, Computing and Technology 16, 209-214, 2006
A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution
S Cagnoni, D Rivero, L Vanneschi
2005 IEEE Congress on Evolutionary Computation 2, 1156-1163, 2005
A genetic algorithm for ANN design, training and simplification
D Rivero, J Dorado, E Fernández-Blanco, A Pazos
International Work-Conference on Artificial Neural Networks, 391-398, 2009
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