Gonzalo Safont

发表

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

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2013, 2013 Fifth International Conference on Computational Intelligence, Communication Systems and Networks.

Surrogate techniques for testing fraud detection algorithms in credit card operations

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2014, 2014 International Carnahan Conference on Security Technology (ICCST).

Combination of multiple detectors for EEG based biometric identification/authentication

Antonio Soriano, Addisson Salazar, Luis Vergara, 2012, 2012 IEEE International Carnahan Conference on Security Technology (ICCST).

An Experimental Sensitivity Analysis of Gaussian and Non-Gaussian Based Methods for Dynamic Modeling in EEG Signal Processing

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2015 .

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

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2019, Entropy.

Comparison of Dimensionality Reduction Methods for Road Surface Identification System

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2020, SAI.

Data fusion of ultrasound and GPR signals for analysis of historic walls

J. Gosálbez, Addisson Salazar, Luis Vergara, 2012 .

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

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2017, IWANN.

Multichannel dynamic modeling of non-Gaussian mixtures

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2019, Pattern Recognit..

Probabilistic Distance for Mixtures of Independent Component Analyzers

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Multiclass Alpha Integration of Scores from Multiple Classifiers

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2019, Neural Computation.

Signal processing on graphs for improving automatic credit card fraud detection

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2017, 2017 International Carnahan Conference on Security Technology (ICCST).

A New Application of Ultrasound Signal Processing for Archaeological Ceramic Classification

Luis Vergara, Addisson Salazar, Gonzalo Safont, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fraud Detection Using Sequential Patterns from Credit Card Operations

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2020, SAI.

Vector score alpha integration for classifier late fusion

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2020, Pattern Recognit. Lett..

Multichannel Signal Processing for Road Surface Identification

Alberto Rodriguez, Luis Vergara, Addisson Salazar, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On Recovering Missing Ground Penetrating Radar Traces by Statistical Interpolation Methods

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2014, Remote. Sens..

Pattern recognition techniques for provenance classification of archaeological ceramics using ultrasounds

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2020, Pattern Recognit. Lett..

Unsupervised learning of non-Gaussian mixtures with temporal dependencies

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2017, 2017 40th International Conference on Telecommunications and Signal Processing (TSP).

On comparing hard and soft fusion of dependent detectors

Antonio Soriano, Addisson Salazar, Luis Vergara, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Semi-Supervised Learning For Imbalanced Classification Of Credit Card Transaction

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Application of Independent Component Analysis for Evaluation of Ashlar Masonry Walls

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2011, IWANN.

A New Graph Based Brain Connectivity Measure

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2019, IWANN.

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

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2018, Signal Process..

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

Antonio Soriano, Addisson Salazar, Luis Vergara, 2012, 2012 IEEE International Carnahan Conference on Security Technology (ICCST).

Wiener systems for reconstruction of missing seismic traces

Addisson Salazar, Luis Vergara, Jorge Igual, 2011, The 2011 International Joint Conference on Neural Networks.

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

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2019, IWANN.

Nonlinear estimators from ICA mixture models

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2019, Signal Process..

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

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

A Multisensor System for Road Surface Identification

Luis Vergara, Addisson Salazar, Gonzalo Safont, 2019, 2019 International Conference on Computational Science and Computational Intelligence (CSCI).

Synchronized Multi-chain Mixture of Independent Component Analyzers

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2017, IWANN.

Study on the computational cost of EEG dynamic modeling methods

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2016, 2016 SAI Computing Conference (SAI).

Nonlinear Prediction Based on Independent Component Analysis Mixture Modelling

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2011, IWANN.

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

Addisson Salazar, Luis Vergara, Jorge Igual, 2015, Sensors.

Combination of multiple detectors for credit card fraud detection

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2016, 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

A New Method for Fraud Detection in Credit Cards Based on Transaction Dynamics in Subspaces

Luis Vergara, Addisson Salazar, Gonzalo Safont, 2019, 2019 International Conference on Computational Science and Computational Intelligence (CSCI).

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

Addisson Salazar, Gonzalo Safont, Luis Vergara, 2021, Expert Syst. Appl..

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

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2019, Entropy.

Assessment of Historic Structures Based on GPR, Ultrasound, and Impact-Echo Data Fusion

Addisson Salazar, Luis Vergara, Antonio M. Vidal, 2013 .

New Perspectives of Pattern Recognition for Automatic Credit Card Fraud Detection

Luis Vergara, Addisson Salazar, Gonzalo Safont, 2018 .

Application of non-destructive evaluation and signal processing for diagnosis of historic heritage buildings

R. Miralles, J. Gosálbez, Luis Vergara, 2011 .

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

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2020, Remote. Sens..

Parallelization of an Algorithm for Automatic Classification of Medical Data

Addisson Salazar, Luis Vergara, Antonio M. Vidal, 2019, ICCS.

Mixtures of independent component analyzers for microarousal detection

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

On the fusion of non-independent detectors

Antonio Soriano, Addisson Salazar, Luis Vergara, 2016, Digit. Signal Process..

Prospective of the application of ultrasounds in archaeology

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2012 .

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

Addisson Salazar, Gonzalo Safont, Luis Vergara, 2021, Remote. Sens..

A New Detector Based on Alpha Integration Decision Fusion

Addisson Salazar, Gonzalo Safont, Nancy Vargas, 2021, IWANN.

Stage Classification of Neuropsychological Tests Based on Decision Fusion

Addisson Salazar, Gonzalo Safont, Luis Vergara, 2021, Advances in Computer Vision and Computational Biology.

Mixtures of Independent Component Analyzers for EEG Prediction

Addisson Salazar, Luis Vergara, Antonio M. Vidal, 2012 .

Image Applications of Agglomerative Clustering Using Mixtures of Non-Gaussian Distributions

Addisson Salazar, Luis Vergara, Jorge Igual, 2015, 2015 International Conference on Computational Science and Computational Intelligence (CSCI).

Intelligent system for non-destructive evaluation of historic walls using Ground-Penetrating Radar

Addisson Salazar, Luis Vergara, Gonzalo Safont, 2010, 2010 IEEE 9th International Conference on Cyberntic Intelligent Systems.