Alberto Guillén

According to our database1, Alberto Guillén authored at least 86 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2020
Composition Classification of Ultra-High Energy Cosmic Rays.
Entropy, 2020

A Comparative Analysis of Machine Learning Techniques for Muon Count in UHECR Extensive Air-Showers.
Entropy, 2020

2019
Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN.
Proceedings of the Advances in Computational Intelligence, 2019

Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows.
Proceedings of the Advances in Computational Intelligence, 2019

2017
Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification.
Proceedings of the Advances in Computational Intelligence, 2017

Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification.
Proceedings of the Intelligent Computing Theories and Application, 2017

2016
Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis.
Int. J. Intell. Syst., 2016

Variable selection for payment in social networks: Introducing the Hy-index.
Comput. Hum. Behav., 2016

2015
Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition.
Neural Process. Lett., 2015

Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection.
Proceedings of the Advances in Computational Intelligence, 2015

Performing Variable Selection by Multiobjective Criterion: An Application to Mobile Payment.
Proceedings of the Advances in Computational Intelligence, 2015

Multiwindow Fusion for Wearable Activity Recognition.
Proceedings of the Advances in Computational Intelligence, 2015

On the Development of a Real-Time Multi-sensor Activity Recognition System.
Proceedings of the Ambient Assisted Living. ICT-Based Solutions in Real Life Situations, 2015

2014
Fast Feature Selection in a GPU Cluster Using the Delta Test.
Entropy, 2014

Advances in bioinformatics using soft-computing paradigms.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Data Recycling of Historical Records and Integration in New Information Systems in Cardiology ervice.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Evaluating the effects of signal segmentation on activity recognition.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

2013
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, 2013

Combination of Heterogeneous EEG Feature Extraction Methods and stacked Sequential Learning for Sleep Stage Classification.
Int. J. Neural Syst., 2013

Analysing user trust in electronic banking using data mining methods.
Expert Syst. Appl., 2013

Data Preprocessing and Model Design for Medicine Problems.
Comput. Math. Methods Medicine, 2013

Classification of MRI Images for Alzheimer's Disease Detection.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Using intelligent system for medical decision-making to magnetic resonance imaging.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Sleep Stage Classification Using Advanced Intelligent Methods.
Proceedings of the Advances in Computational Intelligence, 2013

Parametric and Non-parametric Feature Selection for Kidney Transplants.
Proceedings of the Advances in Computational Intelligence, 2013

A New Method for BCI Spelling Using a 7 Segments Display.
Proceedings of the Advances in Computational Intelligence, 2013

Color Fuzzy Set Design for dental applications.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

Automatic knot adjustment for b-spline smoothing approximation using improved clustering algorithm.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator.
Proceedings of the Parallel Architectures and Bioinspired Algorithms, 2012

Fast variable selection for memetracker phrases time series prediction.
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012

Applying Multi-objective Optimization for Variable Selection to Analyze User Trust in Electronic Banking.
Proceedings of the Management Intelligent Systems - First International Symposium, 2012

2011
Global and local modelling in RBF networks.
Neurocomputing, 2011

The TaSe-NF model for function approximation problems: Approaching local and global modelling.
Fuzzy Sets Syst., 2011

Variable Selection in a GPU Cluster Using Delta Test.
Proceedings of the Advances in Computational Intelligence, 2011

Symbolic representation of the EEG for sleep stage classification.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Preventing the Impact of Marital Dissolutions in Children by Regression Techniques.
Proceedings of the ENTERprise Information Systems - International Conference, 2011

2010
Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks.
Neural Comput. Appl., 2010

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling.
Neurocomputing, 2010

New method for instance or prototype selection using mutual information in time series prediction.
Neurocomputing, 2010

Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem.
Expert Syst. Appl., 2010

OP-KNN: Method and Applications.
Adv. Artif. Neural Syst., 2010

Predicting marital dissolutions using radial basis function neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

Preselection of Neurostimulation Waveforms for Visual Prostheses using Genetic Algorithms.
Proceedings of the BIODEVICES 2010, 2010

2009
Intelligent Classifier for Atrial Fibrillation (ECG).
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems.
Neurocomputing, 2009

Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification.
Appl. Artif. Intell., 2009

Creation of Specific-to-Problem Kernel Functions for Function Approximation.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Global and Local Modelling in Radial Basis Functions Networks.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Efficient Parallel Feature Selection for Steganography Problems.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

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.
Proceedings of the 2009 International Conference on High Performance Computing & Simulation, 2009

Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error.
Proceedings of the Artificial Neural Networks, 2009

Strengthening the Forward Variable Selection Stopping Criterion.
Proceedings of the Artificial Neural Networks, 2009

Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems.
Proceedings of the Artificial Neural Networks, 2009

Applying Mutual Information for Prototype or Instance Selection in Regression Problems.
Proceedings of the ESANN 2009, 2009

2008
Studying possibility in a clustering algorithm for RBFNN design for function approximation.
Neural Comput. Appl., 2008

Soft-computing techniques and ARMA model for time series prediction.
Neurocomputing, 2008

Minimising the delta test for variable selection in regression problems.
Int. J. High Perform. Syst. Archit., 2008

Hybridization of intelligent techniques and ARIMA models for time series prediction.
Fuzzy Sets Syst., 2008

Optimal Pruned K-Nearest Neighbors: OP-KNN - Application to Financial Modeling.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
Output value-based initialization for radial basis function neural networks.
Neural Process. Lett., 2007

Recursive prediction for long term time series forecasting using advanced models.
Neurocomputing, 2007

Multigrid-based fuzzy systems for time series prediction: CATS competition.
Neurocomputing, 2007

Using fuzzy logic to improve a clustering technique for function approximation.
Neurocomputing, 2007

Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms.
Int. J. Approx. Reason., 2007

A First Approach to Birth Weight Prediction Using RBFNNs.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems.
Proceedings of the Computational and Ambient Intelligence, 2007

Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

On Incorporating Seasonal Information on Recursive Time Series Predictors.
Proceedings of the Artificial Neural Networks, 2007

A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time.
Fuzzy Sets Syst., 2006

A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems.
Proceedings of the International Joint Conference on Neural Networks, 2006

Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Effective Input Variable Selection for Function Approximation.
Proceedings of the Artificial Neural Networks, 2006

Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model.
Proceedings of the Rough Sets, 2005

A Possibilistic Approach to RBFN Centers Initialization.
Proceedings of the Rough Sets, 2005

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.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

TaSe Model for Long Term Time Series Forecasting.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005


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