Gonzalo Safont

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

Editorial for the Special Issue "New Advances on Sub-Pixel Processing: Unmixing and Mapping Methods".

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Remote. Sens., 2021

Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets.

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Expert Syst. Appl., 2021

A New Detector Based on Alpha Integration Decision Fusion.

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Proceedings of the Advances in Computational Intelligence, 2021

2020

Estimation of the Number of Endmembers in Hyperspectral Images Using Agglomerative Clustering.

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Remote. Sens., 2020

Pattern recognition techniques for provenance classification of archaeological ceramics using ultrasounds.

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Pattern Recognit. Lett., 2020

Vector score alpha integration for classifier late fusion.

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Pattern Recognit. Lett., 2020

Fraud Detection Using Sequential Patterns from Credit Card Operations.

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Proceedings of the Intelligent Computing, 2020

Comparison of Dimensionality Reduction Methods for Road Surface Identification System.

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Proceedings of the Intelligent Computing, 2020

A New Application of Ultrasound Signal Processing for Archaeological Ceramic Classification.

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Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Multichannel Signal Processing for Road Surface Identification.

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Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Nonlinear estimators from ICA mixture models.

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Signal Process., 2019

Multichannel dynamic modeling of non-Gaussian mixtures.

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Pattern Recognit., 2019

Multiclass Alpha Integration of Scores from Multiple Classifiers.

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Neural Comput., 2019

A New Surrogating Algorithm by the Complex Graph Fourier Transform (CGFT).

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Entropy, 2019

Computing the Partial Correlation of ICA Models for Non-Gaussian Graph Signal Processing.

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Entropy, 2019

A New Graph Based Brain Connectivity Measure.

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Proceedings of the Advances in Computational Intelligence, 2019

Combination of Multiple Classification Results Based on K-Class Alpha Integration.

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Proceedings of the Advances in Computational Intelligence, 2019

Parallelization of an Algorithm for Automatic Classification of Medical Data.

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Víctor M. García-Molla

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Probabilistic Distance for Mixtures of Independent Component Analyzers.

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IEEE Trans. Neural Networks Learn. Syst., 2018

Estimating the Laplacian matrix of Gaussian mixtures for signal processing on graphs.

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Signal Process., 2018

Semi-Supervised Learning For Imbalanced Classification Of Credit Card Transaction.

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Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Semi-supervised Learning for Dynamic Modeling of Brain Signals During Visual and Auditory Tests.

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Proceedings of the 26th European Signal Processing Conference, 2018

2017

Unsupervised learning of non-Gaussian mixtures with temporal dependencies.

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Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017

Non-linear Least Mean Squares Prediction Based on Non-Gaussian Mixtures.

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Proceedings of the Advances in Computational Intelligence, 2017

Synchronized Multi-chain Mixture of Independent Component Analyzers.

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Proceedings of the Advances in Computational Intelligence, 2017

Signal processing on graphs for improving automatic credit card fraud detection.

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Proceedings of the International Carnahan Conference on Security Technology, 2017

2016

On the fusion of non-independent detectors.

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Digit. Signal Process., 2016

Combination of multiple detectors for credit card fraud detection.

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Proceedings of the 2016 IEEE International Symposium on Signal Processing and Information Technology, 2016

2015

Semi-Supervised Bayesian Classification of Materials with Impact-Echo Signals.

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Sensors, 2015

2014

On Recovering Missing Ground Penetrating Radar Traces by Statistical Interpolation Methods.

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Remote. Sens., 2014

Surrogate techniques for testing fraud detection algorithms in credit card operations.

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Proceedings of the International Carnahan Conference on Security Technology, 2014

Mixtures of independent component analyzers for microarousal detection.

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Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013

New Applications of Sequential ICA Mixtures Models Compared with Dynamic Bayesian Networks for EEG Signal Processing.

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Proceedings of the Fifth International Conference on Computational Intelligence, 2013

2012

On comparing hard and soft fusion of dependent detectors.

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Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Automatic credit card fraud detection based on non-linear signal processing.

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Proceedings of the IEEE International Carnahan Conference on Security Technology, 2012

Combination of multiple detectors for EEG based biometric identification/authentication.

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Proceedings of the IEEE International Carnahan Conference on Security Technology, 2012

2011

Application of Independent Component Analysis for Evaluation of Ashlar Masonry Walls.

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Proceedings of the Advances in Computational Intelligence, 2011

Nonlinear Prediction Based on Independent Component Analysis Mixture Modelling.

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