A. Guillén

发表

New Methodologies Based on Delta Test for Variable Selection in Regression Problems

A. Lendasse, I. Rojas, Fernando Mateo, 2008 .

Adoption of electric vehicles: Which factors are really important?

F. Liébana-Cabanillas, E. Higueras-Castillo, L. Herrera, 2020, International Journal of Sustainable Transportation.

Desensitization of cyclic GMP-mediated regulation of fatty acid metabolism in hepatocytes from ethanol-fed rats.

A. Guillén, Javier García-Villafranca, J. Castro, 2005, The international journal of biochemistry & cell biology.

Comparing Mutual Information and Delta Test for Variable Selection to Determine Client Confidence in e-Bank

H. Pomares, I. Rojas, L. Herrera, 2016 .

Feature Selection Using Mutual Information and Neural Networks §1. Introduction

I. Rojas, M. Pasadas, O. Valenzuela, 2022 .

Feature selection using mutual information and neural networks

Alberto Guillén, Luis Javier Herrera, Olga Valenzuela, 2006 .

Duroc and Iberian pork neural network classification by visible and near infrared reflectance spectroscopy

Alberto Guillén, Francisco O'Valle, F. O'Valle, 2009 .

PC Architecture Learning through the Combination of Hardware Examination and the Use of System Information Software

H. Pomares, L. Herrera, A. Guillén, 2009 .

2009 International Conference on High Performance Computing & Simulation, HPCS 2009, Leipzig, Germany, June 21-24, 2009

Ignacio Rojas, Ben Paechter, Rajkumar Buyya, 2009, HPCS.

Hierarchical Structure for function approximation using radial basis function

H. Pomares, I. Rojas, O. Valenzuela, 2005 .

Analysing user trust in electronic banking using data mining methods

Alberto Guillén, Luis Javier Herrera, Rafael Nogueras, 2013, Expert Syst. Appl..

Improving Performance of Multi-objective Genetic for Function Approximation through island specialisation

B. Paechter, H. Pomares, I. Rojas, 2006 .

Parametric and Non-parametric Feature Selection for Kidney Transplants

Ignacio Rojas, Antonio Cañas, Luis Javier Herrera, 2013, IWANN.

Recursive prediction for long term time series forecasting using advanced models

I. Rojas, H. Pomares, A. Prieto, 2007, Neurocomputing.

On Incorporating Seasonal Information on Recursive Time Series Predictors

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2007, ICANN.

Effective Input Variable Selection for Function Approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2006, ICANN.

Multigrid-based fuzzy systems for time series prediction: CATS competition

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Studying possibility in a clustering algorithm for RBFNN design for function approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Neural Computing and Applications.

A Possibilistic Approach to RBFN Centers Initialization

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, RSFDGrC.

Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2005, IWINAC.

Prediction of color change after tooth bleaching using fuzzy logic for Vita Classical shades identification.

Ignacio Rojas, Alberto Guillén, Janiley Santana, 2010, Applied optics.

Automatic knot adjustment for b-spline smoothing approximation using improved clustering algorithm

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

New method for instance or prototype selection using mutual information in time series prediction

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Neurocomputing.

Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Expert Syst. Appl..

Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Int. J. Approx. Reason..

Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion

Alberto Guillén, Francisco Carrillo-Perez, Luis Javier Herrera, 2021, BMC Bioinformatics.

Hybridization of intelligent techniques and ARIMA models for time series prediction

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2008, Fuzzy Sets Syst..

Calidad de vida en pacientes con amputacin de extremidad inferior

A. Guillén, Roser Belmonte, M. Tejero, 2009 .

Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2006, Fuzzy Sets Syst..

Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2012, Parallel Architectures and Bioinspired Algorithms.

Creation of Specific-to-Problem Kernel Functions for Function Approximation

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, IWANN.

Soft-computing techniques and ARMA model for time series prediction

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2008, Neurocomputing.

Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2017, ICIC.

Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2017, IWANN.

Combination of Heterogeneous EEG Feature Extraction Methods and stacked Sequential Learning for Sleep Stage Classification

Alberto Guillén, Agostinho C. Rosa, Luis Javier Herrera, 2013, Int. J. Neural Syst..

Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Neural Computing and Applications.

Instance or Prototype Selection for Function Approximation using Mutual Information

I. Rojas, H. Pomares, G. Rubio, 2008 .

Chatbots and messaging platforms in the classroom: An analysis from the teacher’s perspective

J. J. Merelo, Olia Tsivitanidou, Antonio M. Mora, 2022, Education and information technologies.

Minimising the delta test for variable selection in regression problems

Ignacio Rojas, Alberto Guillén, Amaury Lendasse, 2008, Int. J. High Perform. Syst. Archit..

Global and local modelling in RBF networks

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2011, Neurocomputing.

Multiwindow Fusion for Wearable Activity Recognition

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2015, IWANN.

Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, IWANN.

Applying Mutual Information for Prototype or Instance Selection in Regression Problems

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, ESANN.

A Comparative Analysis of Machine Learning Techniques for Muon Count in UHECR Extensive Air-Showers

Alberto Guillén, Luis Javier Herrera, Juan Miguel Carceller, 2020, Entropy.

Composition Classification of Ultra-High Energy Cosmic Rays

Alberto Guillén, Francisco Carrillo-Perez, Luis Javier Herrera, 2020, Entropy.

Sleep Stage Classification Using Advanced Intelligent Methods

Alberto Guillén, Agostinho C. Rosa, Luis Javier Herrera, 2013, IWANN.

A New Method for BCI Spelling Using a 7 Segments Display

Ignacio Rojas, Alberto Guillén, Miriam España, 2013, IWANN.

The TaSe-NF model for function approximation problems: Approaching local and global modelling

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2011, Fuzzy Sets Syst..

Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, RSFDGrC.

Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, ECSQARU.

Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, IWANN.

Using intelligent system for medical decision-making to magnetic resonance imaging

Héctor Pomares, Alberto Guillén, Luis Javier Herrera, 2013, IWBBIO.

Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition

O. Baños, H. Pomares, I. Rojas, 2015, Neural Processing Letters.

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Neurocomputing.

Using fuzzy logic to improve a clustering technique for function approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Neurocomputing.

Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, IWANN.

Studying How to Apply Chatbots Technology in Higher-Education: First Results and Future Strategies

Alberto Guillén, Juan Julián Merelo Guervós, Pedro A. Castillo, 2021, Interacción.

Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2015, IWANN.

Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals

Alberto Guillén, Francisco Carrillo-Perez, Luis Javier Herrera, 2021, Neural Computing and Applications.

Classification of MRI Images for Alzheimer's Disease Detection

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2013, 2013 International Conference on Social Computing.

OP-KNN: Method and Applications

Alberto Guillén, Amaury Lendasse, Eric Séverin, 2010, Adv. Artif. Neural Syst..

Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2009, Neurocomputing.

A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, 2007 IEEE International Fuzzy Systems Conference.

Preventing the Impact of Marital Dissolutions in Children by Regression Techniques

Alberto Guillén, Nuria Rico, Carlos Tovar, 2011, CENTERIS.

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

H. Pomares, I. Rojas, G. Rubio, 2005, IWINAC.

Symbolic representation of the EEG for sleep stage classification

Alberto Guillén, Agostinho C. Rosa, Luis Javier Herrera, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Optimal Pruned K-Nearest Neighbors: OP-KNN Application to Financial Modeling

Alberto Guillén, Amaury Lendasse, Eric Séverin, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Variable selection for payment in social networks: Introducing the Hy-index

A. Guillén, F. Liébana-Cabanillas, L.J. Herrera, 2016, Comput. Hum. Behav..

Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2006, Australian Conference on Artificial Intelligence.

Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, ICANN.

Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2016, Int. J. Intell. Syst..

Applying Multi-objective Optimization for Variable Selection to Analyze User Trust in Electronic Banking

Ignacio Rojas, Rafael Nogueras, Francisco Muñoz-Leiva, 2012, IS-MiS.

Multigrid-based fuzzy systems for time series prediction: CATS competition

Jesús González, H. Pomares, I. Rojas, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

International Journal of Approximate Reasoning

J. M. Palomares, Mark J. Wierman, William J. Tastle, 2012, SOCO 2012.

Mutual Information-based Feature Selection in Spectrometric Data for Agriculture Applications

H. Pomares, I. Rojas, R. Ghinea, 2015 .