Alberto Guillen
Alberto Guillen
University of Granada, University of Jaén
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Cited by
Soft-computing techniques and ARMA model for time series prediction
I Rojas, O Valenzuela, F Rojas, A Guillén, LJ Herrera, H Pomares, ...
Neurocomputing 71 (4-6), 519-537, 2008
Hybridization of intelligent techniques and ARIMA models for time series prediction
O Valenzuela, I Rojas, F Rojas, H Pomares, LJ Herrera, A Guillén, ...
Fuzzy sets and systems 159 (7), 821-845, 2008
Recursive prediction for long term time series forecasting using advanced models
LJ Herrera, H Pomares, I Rojas, A Guillén, A Prieto, O Valenzuela
Neurocomputing 70 (16-18), 2870-2880, 2007
Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time
I Rojas, H Pomares, J Gonzalez, LJ Herrera, A Guillén, F Rojas, ...
Fuzzy Sets and Systems 157 (16), 2241-2258, 2006
Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification
LJ Herrera, CM Fernandes, AM Mora, D Migotina, R Largo, A Guillén, ...
International journal of neural systems 23 (03), 1350012, 2013
Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms
J González, I Rojas, H Pomares, LJ Herrera, A Guillén, JM Palomares, ...
International Journal of Approximate Reasoning 44 (1), 32-44, 2007
Analysing user trust in electronic banking using data mining methods
F Liébana-Cabanillas, R Nogueras, LJ Herrera, A Guillén
Expert Systems with Applications 40 (14), 5439-5447, 2013
Duroc and Iberian pork neural network classification by visible and near infrared reflectance spectroscopy
FG Del Moral, A Guillén, LG Del Moral, F O’valle, L Martínez, ...
Journal of Food Engineering 90 (4), 540-547, 2009
Classification of MRI images for Alzheimer's disease detection
LJ Herrera, I Rojas, H Pomares, A Guillén, O Valenzuela, O Baños
2013 International Conference on Social Computing, 846-851, 2013
New method for instance or prototype selection using mutual information in time series prediction
A Guillén, LJ Herrera, G Rubio, H Pomares, A Lendasse, I Rojas
Neurocomputing 73 (10-12), 2030-2038, 2010
Effective input variable selection for function approximation
LJ Herrera, H Pomares, I Rojas, M Verleysen, A Guilén
International Conference on Artificial Neural Networks, 41-50, 2006
Parallel multiobjective memetic rbfnns design and feature selection for function approximation problems
A Guillén, H Pomares, J González, I Rojas, O Valenzuela, B Prieto
Neurocomputing 72 (16-18), 3541-3555, 2009
Minimising the delta test for variable selection in regression problems
A Guillen, D Sovilj, A Lendasse, F Mateo, I Rojas
International Journal of High Performance Systems Architecture 1 (4), 269-281, 2008
Output value-based initialization for radial basis function neural networks
A Guillén, I Rojas, J González, H Pomares, LJ Herrera, O Valenzuela, ...
Neural Processing Letters 25 (3), 209-225, 2007
Multi-sensor fusion based on asymmetric decision weighting for robust activity recognition
O Banos, M Damas, A Guillen, LJ Herrera, H Pomares, I Rojas, ...
Neural Processing Letters 42 (1), 5-26, 2015
Global and local modelling in RBF networks
LJ Herrera, H Pomares, I Rojas, A Guillén, G Rubio, J Urquiza
Neurocomputing 74 (16), 2594-2602, 2011
Improving clustering technique for functional approximation problem using fuzzy logic: ICFA algorithm
A Guillén, I Rojas, J González, H Pomares, LJ Herrera, O Valenzuela, ...
International Work-Conference on Artificial Neural Networks, 272-279, 2005
Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks
A Guillén, FG Del Moral, LJ Herrera, G Rubio, I Rojas, O Valenzuela, ...
Neural Computing and Applications 19 (3), 465-470, 2010
Studying possibility in a clustering algorithm for RBFNN design for function approximation
A Guillén, H Pomares, I Rojas, J González, LJ Herrera, F Rojas, ...
Neural Computing and Applications 17 (1), 75-89, 2008
Using fuzzy logic to improve a clustering technique for function approximation
A Guillén, J González, I Rojas, H Pomares, LJ Herrera, O Valenzuela, ...
Neurocomputing 70 (16-18), 2853-2860, 2007
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