Carlos García Puntonet

According to our database1, Carlos García Puntonet authored at least 178 papers between 1993 and 2021.

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

Timeline

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Bibliography

2021
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities.
Inf. Fusion, 2021

2020
Granger causality-based information fusion applied to electrical measurements from power transformers.
Inf. Fusion, 2020

2017
A semi-supervised learning approach for model selection based on class-hypothesis testing.
Expert Syst. Appl., 2017

2016
Improving short-term prediction from MCI to AD by applying searchlight analysis.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
A logistic non-negative matrix factorization approach to binary data sets.
Multidimens. Syst. Signal Process., 2015

Digital image analysis for automatic enumeration of malaria parasites using morphological operations.
Expert Syst. Appl., 2015

2014
A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection.
Neurocomputing, 2014

Identifying endophenotypes of autism: a multivariate approach.
Frontiers Comput. Neurosci., 2014

Physarum Learner: A bio-inspired way of learning structure from data.
Expert Syst. Appl., 2014

Bidimensional Ensemble Empirical mode Decomposition of Functional Biomedical Images.
Adv. Data Sci. Adapt. Anal., 2014

PETRA: Multivariate analyses for neuroimaging data.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

A simplified QRS decision stage based on the DFT coefficients.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Weighted Sliding Empirical Mode Decomposition for Online Analysis of Biomedical Time Series.
Neural Process. Lett., 2013

Functional activity maps based on significance measures and Independent Component Analysis.
Comput. Methods Programs Biomed., 2013

Texture Features Based Detection of Parkinson's Disease on DaTSCAN Images.
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

Automatic Orientation of Functional Brain Images for Multiplataform Software.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

2012
Computer Aided Diagnosis tool for Alzheimer's Disease based on Mann-Whitney-Wilcoxon U-Test.
Expert Syst. Appl., 2012

Association rule-based feature selection method for Alzheimer's disease diagnosis.
Expert Syst. Appl., 2012

Brain Connectivity Analysis: A Short Survey.
Comput. Intell. Neurosci., 2012

Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging.
Artif. Intell. Medicine, 2012

Practical consideration for ICA.
Proceedings of the 2012 International Conference on Multimedia Computing and Systems, 2012

2011
<sup>18</sup>F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis.
Inf. Sci., 2011

Two approaches to selecting set of voxels for the diagnosis of Alzheimerʼs disease using brain SPECT images.
Digit. Signal Process., 2011

Computer aided diagnosis of Alzheimer's disease using component based SVM.
Appl. Soft Comput., 2011

Brain Status Data Analysis by Sliding EMD.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Analysis of Spect Brain Images Using Wilcoxon and Relative Entropy Criteria and Quadratic Multivariate Classifiers for the Diagnosis of Alzheimer's Disease.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Sliding Empirical Mode Decomposition for On-line Analysis of Biomedical Time Series.
Proceedings of the Advances in Computational Intelligence, 2011

Glottal Source Asymmetry Estimation by ICA.
Proceedings of the BIOSIGNALS 2011, 2011

2010
Improved likelihood ratio test based voice activity detector applied to speech recognition.
Speech Commun., 2010

Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer's disease.
Pattern Recognit. Lett., 2010

Computer-Aided Diagnosis of Ataxia SCA-2 Using a Blind Source Separation Algorithm.
Cogn. Comput., 2010

Empirical Mode Decomposition - an introduction.
Proceedings of the International Joint Conference on Neural Networks, 2010

Brain status data analyzed by Empirical Mode Decomposition.
Proceedings of the International Joint Conference on Neural Networks, 2010

Partial Least Squares for Feature Extraction of SPECT Images.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Exploring Symmetry to Assist Alzheimer's Disease Diagnosis.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
Neural Networks and HOS for Power Quality Evaluation.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

How to Apply Nonlinear Subspace Techniques to Univariate Biomedical Time Series.
IEEE Trans. Instrum. Meas., 2009

A Novel LMS Algorithm Applied to Adaptive Noise Cancellation.
IEEE Signal Process. Lett., 2009

Advances in Ataxia SCA-2 Diagnosis Using Independent Component Analysis.
Proceedings of the Advances in Nonlinear Speech Processing, 2009

Analysis of Brain SPECT Images for the Diagnosis of Alzheimer Disease Using First and Second Order Moments.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009

Selecting Regions of Interest for the Diagnosis of Alzheimer's Disease in Brain SPECT Images Using Welch's t-Test.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Automatic System for Alzheimer's Disease Diagnosis Using Eigenbrains and Bayesian Classification Rules.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Alzheimer's Diagnosis Using Eigenbrains and Support Vector Machines.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Selecting Regions of Interest for the Diagnosis of Alzheimer Using Brain SPECT Images.
Proceedings of the Advances in Neural Networks, 2009

Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Independent Component Analysis of SPECT Images to Assist the Alzheimer's Disease Diagnosis.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Eye Movement Quantification in Functional MRI Data by Spatial Independent Component Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008
Jointly Gaussian PDF-Based Likelihood Ratio Test for Voice Activity Detection.
IEEE Trans. Speech Audio Process., 2008

Hybridizing sparse component analysis with genetic algorithms for microarray analysis.
Neurocomputing, 2008

Computer Aided Diagnosis of Alzheimer Disease Using Support Vector Machines and Classification Trees.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Early Detection of the Alzheimer Disease Combining Feature Selection and Kernel Machines.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Automatic Classification System for the Diagnosis of Alzheimer Disease Using Component-Based SVM Aggregations.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data.
Proceedings of the Computational Science, 2008

A signal processing module for non-destructive targeting of termite activity using the Spectral Kurtosis and the Discrete Wavelet Transform.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Higher-order Statistics Interpretation. Application to Power-Quality Characterization.
Proceedings of the SIGMAP 2007, 2007

An Efficient VAD Based on a Generalized Gaussian PDF.
Proceedings of the Advances in Nonlinear Speech Processing, 2007

Improved Likelihood Ratio Test Detector Using a Jointly Gaussian Probability Distribution Function.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

Power Quality Event Identification Using Higher-Order Statistics and Neural Classifiers.
Proceedings of the Computational and Ambient Intelligence, 2007

An Efficient VAD Based on a Hang-Over Scheme and a Likelihood Ratio Test.
Proceedings of the Computational and Ambient Intelligence, 2007

Automatic Detection of Filters in Images with Gaussian Noise Using Independent Component Analysis.
Proceedings of the Computational and Ambient Intelligence, 2007

Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2007

Power Transients Characterization and Classification Using Higher-Order Cumulants and Competitive Layers.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints.
Proceedings of the Artificial Neural Networks, 2007

Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

An Application of ICA to BSS in a Container Gantry Crane Cabin's Model.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

An Evolutionary Approach for Blind Inversion of Wiener Systems.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

An application of the spectral kurtosis for early detection of subterranean termites.
Proceedings of the 15th European Signal Processing Conference, 2007

Noisy image processing using the independent component analysis algorithm AMUSE.
Proceedings of the Artificial Neural Networks and Intelligent Information Processing, 2007

2006
Median-based clustering for underdetermined blind signal processing.
IEEE Signal Process. Lett., 2006

Speech/non-speech discrimination based on contextual information integrated bispectrum LRT.
IEEE Signal Process. Lett., 2006

Generalized LRT-Based Voice Activity Detector.
IEEE Signal Process. Lett., 2006

Hard C-means clustering for voice activity detection.
Speech Commun., 2006

Blind source separation and independent component analysis.
Neurocomputing, 2006

Maximization of statistical moments for blind separation of sources revisited.
Neurocomputing, 2006

Denoising using local projective subspace methods.
Neurocomputing, 2006

Optimizing blind source separation with guided genetic algorithms.
Neurocomputing, 2006

Comparison of Two ICA Algorithms in BSS Applied to Non-destructive Vibratory Tests.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

SVM-Enabled Voice Activity Detection.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

An efficient bispectrum phase entropy-based algorithm for VAD.
Proceedings of the INTERSPEECH 2006, 2006

Region of Interest Based Independent Component Analysis.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Frequency Calibrations with Conventional Time Interval Counters via GPS Traceability.
Proceedings of the ICEIS 2006, 2006

Noise Subspace Fuzzy C-Means Clustering for Robust Speech Recognition.
Proceedings of the Computational Science and Its Applications, 2006

Speech Event Detection Using Support Vector Machines.
Proceedings of the Computational Science, 2006

Third-Order Spectral Characterization of Termite's Emission Track.
Proceedings of the Computational Science, 2006

C-Means Clustering Applied to Speech Discrimination.
Proceedings of the Computational Science, 2006

Independent Component Analysis Applied to Voice Activity Detection.
Proceedings of the Computational Science, 2006

Effective Speech/Pause Discrimination Using an Integrated Bispectrum Likelihood Ratio Test.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Two ICA Algorithms Applied to BSS in Non-destructive Vibratory Tests.
Proceedings of the Artificial Neural Networks, 2006

Robust Preprocessing of Gene Expression Microarrays for Independent Component Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

A Canonical Genetic Algorithm for Blind Inversion of Linear Channels.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

On the Performance of a HOS-Based ICA Algorithm in BSS of Acoustic Emission Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
A Survey of Forecasting Preprocessing Techniques using RNs.
Informatica (Slovenia), 2005

Testing for Independence and Lrt for VAD.
Int. J. Inf. Acquis., 2005

GA-ICA algorithms applied to image processing.
Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005

Bispectrum Estimators for Voice Activity Detection and Speech Recognition.
Proceedings of the Nonlinear Analyses and Algorithms for Speech Processing, 2005

A New Approach to Clustering and Object Detection with Independent Component Analysis.
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

On the Connection Between the Human Visual System and Independent Component Analysis.
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

Bispectra Analysis-Based VAD for Robust Speech Recognition.
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

Convergence Analysis of a GA-ICA Algorithm.
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

Extended Sparse Nonnegative Matrix Factorization.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Clustering of Signals Using Incomplete Independent Component Analysis.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Robust Processing of Microarray Data by Independent Component Analysis.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Matched Filter as Pre-processing Tool for Multi-user Detection in DS-CDMA System.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Guided GA-ICA Algorithms.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation.
Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005

Assessing the Performance of Several Fitness Functions in a Genetic Algorithm for Nonlinear Separation of Sources.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Wavelets Transforms Applied to Termite Detection.
Proceedings of the ICEIS 2005, 2005

Wavelets and Wavelet Packets Applied to Termite Detection.
Proceedings of the Computational Science, 2005

Simulated Annealing Based-GA Using Injective Contrast Functions for BSS.
Proceedings of the Computational Science, 2005

Recognition of Insect Emissions Applying the Discrete Wavelet Transform.
Proceedings of the Pattern Recognition and Data Mining, 2005

Bispectrum-Based Statistical Tests for VAD.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

AutoAssign - An Automatic Assignment Tool for Independent Components.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separation.
Proceedings of the ESANN 2005, 2005

2004
Blind source separation in post-nonlinear mixtures using competitive learning, Simulated annealing, and a genetic algorithm.
IEEE Trans. Syst. Man Cybern. Part C, 2004

Eigendecomposition of self-tuned cumulant-matrices for blind source separation.
Signal Process., 2004

A new model for time-series forecasting using radial basis functions and exogenous data.
Neural Comput. Appl., 2004

A geometric algorithm for overcomplete linear ICA.
Neurocomputing, 2004

A Genetic Algorithm for Solving BSS-ICA.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

Parallelization of Time Series Forecasting Model.
Proceedings of the 12th Euromicro Workshop on Parallel, 2004

Preprocessing time series with ICA and savitzky-golay filtering.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Hybrid SOM-SVM Algorithm for Real Time Series Forecasting.
Proceedings of the ICINCO 2004, 2004

An Application of the Independent Component Analysis to Monitor Acoustic Emission Signals Generated by Termite Activity in Wood.
Proceedings of the ICINCO 2004, 2004

Improving ICA Algorithms Applied to Predicting Stock Returns.
Proceedings of the ICETE 2004, 2004

Meta-heuristics hybridizing independent component analysis with genetic algorithms.
Proceedings of the 2004 11th IEEE International Conference on Electronics, 2004

Online Algorithm for Time Series Prediction Based on Support Vector Machine Philosophy.
Proceedings of the Computational Science, 2004

Hybridizing Genetic Algorithms with ICA in Higher Dimension.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

An Application of ICA to Identify Vibratory Low-Level Signals Generated by Termites.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Theoretical Method for Solving BSS-ICA Using SVM.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

New Eigensystem-Based Method for Blind Source Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

3D Spatial Analysis of fMRI Data on a Word Perception Task.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Characterization of the Sources in Convolutive Mixtures: A Cumulant-Based Approach.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

On-line support vector machines and optimization strategies.
Proceedings of the ESANN 2004, 2004

Lattice ICA for the separation of speech signals.
Proceedings of the ESANN 2004, 2004

A genetic exploration of dynamic load balancing algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Linear Geometric ICA: Fundamentals and Algorithms.
Neural Comput., 2003

Generalizing Geometric ICA to Nonlinear Settings.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

An Improved Geometric Overcomplete Blind Source Separation Algorithm.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

An Adaptive Approach to Blind Source Separation Using a Self-Organzing Map and a Neural Gas.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Parallel Computation of an Adaptive Optimal RBF Network Predictor.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

An Independent Component Analysis Evolution Based Method for Nonlinear Speech Processing.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Evolutionary Algorithm Using Mutual Information for Independent Component Analysis.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Application of Independent Component Analysis to Edge Detection and Watermarking.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

New Method for Filtered ICA Signals Applied to Volatile Time Series.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation.
Proceedings of the ESANN 2003, 2003

2002
Blind multiuser separation of instantaneous mixture algorithm based on geometrical concepts.
Signal Process., 2002

Separation of sources using simulated annealing and competitive learning.
Neurocomputing, 2002

Overcomplete ICA with a Geometric Algorithm.
Proceedings of the Artificial Neural Networks, 2002

SSA, SVD, QR-cp, and RBF Model Reduction.
Proceedings of the Artificial Neural Networks, 2002

Applying Neural Networks and Genetic Algorithms to the Separation of Sources.
Proceedings of the Advances in Artificial Intelligence, 2002

Orthogonal transformations for optimal time series prediction.
Proceedings of the ESANN 2002, 2002

2001
Improved RAN sequential prediction using orthogonal techniques.
Neurocomputing, 2001

Pattern Repulsion Revisited.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Separation of Sources Based on the Partitioning of the Space of Observations.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Can ICA Help Classify Skin Cancer and Benign Lesions?
Proceedings of the Bio-inspired Applications of Connectionism, 2001

A Conjugate Gradient Method and Simulated Annealing for Blind Separation of Sources.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

A simple ICA algorithm based on geometrical approach.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton's Method.
Proceedings of the Artificial Neural Networks, 2001

The synergy between multideme genetic algorithms and fuzzy systems.
Proceedings of the ESANN 2001, 2001

A stochastic and competitive network for the separation of sources.
Proceedings of the ESANN 2001, 2001

1999
On-Line Optimization of Radial Basis Function Networks with Orthogonal Techniques.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

Separation of Speech Signals for Nonlinear Mixtures.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

1998
A neural learning algorithm for blind separation of sources based on geometric properties.
Signal Process., 1998

Neural net approach for blind separation of sources based on geometric properties.
Neurocomputing, 1998

Separation of sources in a class of post-nonlinear mixtures.
Proceedings of the ESANN 1998, 1998

1997
A Competitive Neural Network for Blind Separation of Sources Based on Geometric Properties.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Modified Boltzmann Machine for an Efficient Distributed Implementation.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1995
Separation of sources: A geometry-based procedure for reconstruction of n-valued signals.
Signal Process., 1995

An adaptive geometrical procedure for blind separation of sources.
Neural Process. Lett., 1995

A Geometrical Based Procedure for Source Separation Mapped to a Neural Network.
Proceedings of the From Natural to Artificial Neural Computation, 1995

1993
MapA: An Array Processor Architecture for Neural Networks.
Proceedings of the New Trends in Neural Computation, 1993


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