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ORCIDAlberto Guillén
- > Home > Persons > Alberto Guillén
Publications
- 2019
[c54]Oresti Banos
, Juan Manuel Galvez, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Claudia Villalonga:
Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows. IWANN (1) 2019: 360-367- 2016
- [j26]Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Francisco J. Liébana-Cabanillas:
Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis. Int. J. Intell. Syst. 31(2): 153-172 (2016) - 2015
- [j25]Oresti Baños, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Claudia Villalonga:
Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition. Neural Process. Lett. 42(1): 5-26 (2015) - [c51]Oresti Banos, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Claudia Villalonga, Sungyoung Lee:
On the Development of a Real-Time Multi-sensor Activity Recognition System. IWAAL 2015: 176-182 - [c50]Luis Javier Herrera, Alberto Guillén, Rubén Martínez, Carlos García, Héctor Pomares, Oresti Baños, Ignacio Rojas Ruiz:
Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection. IWANN (2) 2015: 165-172 - [c49]Oresti Baños, Juan Manuel Galvez, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas Ruiz, Claudia Villalonga, Choong Seon Hong, Sungyoung Lee:
Multiwindow Fusion for Wearable Activity Recognition. IWANN (2) 2015: 290-297 - 2014
- [j24]Alberto Guillén, M. Isabel García Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas:
Fast Feature Selection in a GPU Cluster Using the Delta Test. Entropy 16(2): 854-869 (2014) - [c47]Oresti Baños, Juan Manuel Galvez, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas:
Evaluating the effects of signal segmentation on activity recognition. IWBBIO 2014: 759-765 - 2013
- [j20]Javier Perez-Florido, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Francisco M. Ortuño Guzman, José M. Urquiza:
An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of Artificial Neural Networks. Neurocomputing 121: 64-78 (2013) - [c44]Olga Valenzuela, Miguel Pasadas, Ignacio Rojas, Alberto Guillén, Héctor Pomares:
Automatic knot adjustment for b-spline smoothing approximation using improved clustering algorithm. FUZZ-IEEE 2013: 1-6 - [c43]Luis Javier Herrera, Oscar E. Pecho, Razvan Ghinea, Ignacio Rojas Ruiz, Héctor Pomares, Alberto Guillén, Ana Maria Ionescu, Juan de la Cruz Cardona, R. Pulgar, Maria del Mar Pérez:
Color Fuzzy Set Design for dental applications. ISDA 2013: 277-282 - [c39]Olga Valenzuela, Francisco M. Ortuño Guzman, Fernando Rojas, Héctor Pomares, José Luis Bernier, Luis Javier Herrera, Alberto Guillén:
Using intelligent system for medical decision-making to magnetic resonance imaging. IWBBIO 2013: 205-214 - [c38]Luis Javier Herrera, Ignacio Rojas, Héctor Pomares, Alberto Guillén, Olga Valenzuela, Oresti Baños:
Classification of MRI Images for Alzheimer's Disease Detection. SocialCom 2013: 846-851 - 2012
- [p1]Alberto Guillén, Dusan Sovilj, Mark van Heeswijk, Luis Javier Herrera, Amaury Lendasse, Héctor Pomares, Ignacio Rojas:
Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator. Parallel Architectures and Bioinspired Algorithms 2012: 243-266 - 2011
- [j19]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Olga Valenzuela:
The TaSe-NF model for function approximation problems: Approaching local and global modelling. Fuzzy Sets Syst. 171(1): 1-21 (2011) - [j18]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza:
Global and local modelling in RBF networks. Neurocomputing 74(16): 2594-2602 (2011) - [c33]Alberto Guillén, Mark van Heeswijk, Dusan Sovilj, Maribel García Arenas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas:
Variable Selection in a GPU Cluster Using Delta Test. IWANN (1) 2011: 393-400 - 2010
- [j16]Alberto Guillén, Ginés Rubio, I. Toda, Antonio J. Rivera, Héctor Pomares, Ignacio Rojas Ruiz:
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem. Expert Syst. Appl. 37(6): 4050-4057 (2010) - [j15]Ginés Rubio, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén:
Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling. Neurocomputing 73(10-12): 1965-1975 (2010) - [j14]Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas:
New method for instance or prototype selection using mutual information in time series prediction. Neurocomputing 73(10-12): 2030-2038 (2010) - [j13]Alberto Guillén, F. G. del Moral, Luis Javier Herrera, Ginés Rubio, Ignacio Rojas, Olga Valenzuela, Héctor Pomares:
Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks. Neural Comput. Appl. 19(3): 465-470 (2010) - [c32]Samuel F. Romero, Alberto Guillén, Cristóbal J. Carmona, Christian A. Morillas, Francisco J. Pelayo, Héctor Pomares:
Preselection of Neurostimulation Waveforms for Visual Prostheses using Genetic Algorithms. BIODEVICES 2010: 191-194 - [c31]Alberto Guillén, Carlos Tovar, Luis Javier Herrera, Héctor Pomares, Jesús González, José F. Guillén, Ignacio Rojas:
Predicting marital dissolutions using radial basis function neural networks. IJCNN 2010: 1-4 - 2009
- [j12]Olga Valenzuela, Ignacio Rojas, Francisco Javier Rojas, Héctor Pomares, José Luis Bernier, Luis Javier Herrera, Alberto Guillén:
Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification. Appl. Artif. Intell. 23(10): 895-909 (2009) - [j11]Alberto Guillén, Héctor Pomares, Jesús González, Ignacio Rojas, Olga Valenzuela, Beatriz Prieto:
Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems. Neurocomputing 72(16-18): 3541-3555 (2009) - [c30]Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas:
Applying Mutual Information for Prototype or Instance Selection in Regression Problems. ESANN 2009 - [c28]Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Ben Paechter, Alberto Guillén, Ignacio Rojas:
Strengthening the Forward Variable Selection Stopping Criterion. ICANN (2) 2009: 215-224 - [c27]Ginés Rubio, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Guillén:
Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error. ICANN (2) 2009: 406-415 - [c26]Ginés Rubio, Alberto Guillén, Héctor Pomares, Ignacio Rojas, Ben Paechter, Peter Glösekötter, C. I. Torres-Ceballos:
Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab. HPCS 2009: 145-152 - [c25]Alberto Guillén, A. M. Trujillo, Samuel F. Romero, Ginés Rubio, Ignacio Rojas Ruiz, Héctor Pomares, Luis Javier Herrera, José F. Guillén:
Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks. ISDA 2009: 1263-1267 - [c24]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza:
Global and Local Modelling in Radial Basis Functions Networks. IWANN (1) 2009: 49-56 - [c23]Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén:
Creation of Specific-to-Problem Kernel Functions for Function Approximation. IWANN (1) 2009: 335-342 - 2008
- [j10]Olga Valenzuela, Ignacio Rojas, Fernando Rojas, Héctor Pomares, Luis Javier Herrera, Alberto Guillén, Luisa Marquez, Miguel Pasadas:
Hybridization of intelligent techniques and ARIMA models for time series prediction. Fuzzy Sets Syst. 159(7): 821-845 (2008) - [j8]Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Luisa Marquez, Miguel Pasadas:
Soft-computing techniques and ARMA model for time series prediction. Neurocomputing 71(4-6): 519-537 (2008) - [j7]Alberto Guillén, Héctor Pomares, Ignacio Rojas, Jesús González, Luis Javier Herrera, Fernando Rojas, Olga Valenzuela:
Studying possibility in a clustering algorithm for RBFNN design for function approximation. Neural Comput. Appl. 17(1): 75-89 (2008) - 2007
- [j6]Jesús González, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Alberto Guillén, José M. Palomares, Fernando Rojas:
Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms. Int. J. Approx. Reason. 44(1): 32-44 (2007) - [j5]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad, Ana Herrera:
Multigrid-based fuzzy systems for time series prediction: CATS competition. Neurocomputing 70(13-15): 2410-2425 (2007) - [j4]Alberto Guillén, Jesús González, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Alberto Prieto:
Using fuzzy logic to improve a clustering technique for function approximation. Neurocomputing 70(16-18): 2853-2860 (2007) - [j3]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Alberto Prieto, Olga Valenzuela:
Recursive prediction for long term time series forecasting using advanced models. Neurocomputing 70(16-18): 2870-2880 (2007) - [j2]Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Fernando Rojas:
Output value-based initialization for radial basis function neural networks. Neural Process. Lett. 25(3): 209-225 (2007) - [c20]Alberto Guillén, Jesús González, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Francisco Fernández:
A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application. FUZZ-IEEE 2007: 1-6 - [c19]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio:
On Incorporating Seasonal Information on Recursive Time Series Predictors. ICANN (2) 2007: 506-515 - [c18]Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Ben Paechter:
Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization. ICANNGA (1) 2007: 85-92 - [c17]Alberto Guillén, Héctor Pomares, Jesús González, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto:
Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems. IWANN 2007: 341-350 - [c16]Alberto Guillén, Ignacio Rojas Ruiz, Jesús González, Héctor Pomares, Luis Javier Herrera:
A First Approach to Birth Weight Prediction Using RBFNNs. IWINAC (1) 2007: 253-260 - 2006
- [j1]Ignacio Rojas, Héctor Pomares, Jesús González, Luis Javier Herrera, Alberto Guillén, Fernando Rojas Ruiz, Olga Valenzuela:
Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time. Fuzzy Sets Syst. 157(16): 2241-2258 (2006) - [c15]Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Ben Paechter:
Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation. Australian Conference on Artificial Intelligence 2006: 1127-1132 - [c14]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén:
Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50 - [c13]Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Francisco Fernández:
Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction. ICNC (1) 2006: 511-520 - [c12]Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Alberto Prieto:
Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems. IJCNN 2006: 3175-3180 - [c11]Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Alberto Prieto:
A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design. RSCTC 2006: 647-656 - 2005
- [c10]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Olga Valenzuela:
Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation. ECSQARU 2005: 613-624 - [c9]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González:
New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems. ECSQARU 2005: 980-991 - [c8]Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Alberto Prieto:
Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm. IWANN 2005: 272-279 - [c7]Mohammed Awad, Héctor Pomares, Luis Javier Herrera, Jesús González, Alberto Guillén, Fernando Rojas:
Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach. IWANN 2005: 289-296 - [c6]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad:
Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models. IWANN 2005: 399-406 - [c5]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Olga Valenzuela, Alberto Prieto:
TaSe Model for Long Term Time Series Forecasting. IWANN 2005: 1027-1034 - [c4]Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén:
A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases. IWINAC (2) 2005: 143-152 - [c2]Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Alberto Prieto:
A Possibilistic Approach to RBFN Centers Initialization. RSFDGrC (2) 2005: 174-183 - [c1]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Jesús González:
Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model. RSFDGrC (1) 2005: 402-411
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