Antonio Artés-Rodríguez

According to our database1, Antonio Artés-Rodríguez authored at least 97 papers between 1990 and 2019.

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

Timeline

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Bibliography

2019
Deep Sequential Models for Suicidal Ideation From Multiple Source Data.
IEEE J. Biomedical and Health Informatics, 2019

Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms.
IEEE J. Biomedical and Health Informatics, 2019

Assessment of e-Social Activity in Psychiatric Patients.
IEEE J. Biomedical and Health Informatics, 2019

Continual Multi-task Gaussian Processes.
CoRR, 2019

Continual Learning for Infinite Hierarchical Change-Point Detection.
CoRR, 2019

2018
Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution.
IEEE J. Biomedical and Health Informatics, 2018

Change-Point Detection on Hierarchical Circadian Models.
CoRR, 2018

Heterogeneous Multi-output Gaussian Process Prediction.
CoRR, 2018

A Comparison Of Clipping Strategies For Importance Sampling.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Patient-Tailored In Silico 3D Simulations and Models From Electroanatomical Maps of the Left Atrium.
Proceedings of the Computing in Cardiology, 2018

Particle Filter Tracking of Complex Stochastic Systems Applied to In Silico Wavefront Propagation.
Proceedings of the Computing in Cardiology, 2018

2017
Active Sensing in Human Activity Recognition.
Proceedings of the Advances in Computational Intelligence, 2017

2016
Human Activity Recognition by Combining a Small Number of Classifiers.
IEEE J. Biomedical and Health Informatics, 2016

A hierarchical algorithm for causality discovery among atrial fibrillation electrograms.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Bayesian nonparametric crowdsourcing.
J. Mach. Learn. Res., 2015

Blind analysis of atrial fibrillation electrograms: A sparsity-aware formulation.
Integrated Computer-Aided Engineering, 2015

Individual performance calibration using physiological stress signals.
CoRR, 2015

Discriminative spectral learning of hidden markov models for human activity recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Smelly parallel MCMC chains.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
An Automated Screening System for Tuberculosis.
IEEE J. Biomedical and Health Informatics, 2014

A regularized matrix factorization approach to induce structured sparse-low-rank solutions in the EEG inverse problem.
EURASIP J. Adv. Sig. Proc., 2014

Orthogonal MCMC algorithms.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

A novel feature extraction technique for human activity recognition.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Grouped sparsity algorithm for multichannel intracardiac ECG synchronization.
Proceedings of the 22nd European Signal Processing Conference, 2014

Structured sparse-low rank matrix factorization for the EEG inverse problem.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013
Cross-products LASSO.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Information-Theoretic Linear Feature Extraction Based on Kernel Density Estimators: A Review.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2012

Algorithms for maximum-likelihood bandwidth selection in kernel density estimators.
Pattern Recognition Letters, 2012

Novel fast random search clustering algorithm for mixing matrix identification in MIMO linear blind inverse problems with sparse inputs.
Neurocomputing, 2012

Sparse spectral analysis of atrial fibrillation electrograms.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Long term human activity recognition with automatic orientation estimation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Structured sparsity regularization approach to the EEG inverse problem.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

A Hold-out method to correct PCA variance inflation.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Human activity recognition using inertial sensors with invariance to sensor orientation.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Hierarchical Dynamic Model for Human Daily Activity Recognition.
Proceedings of the BIOSIGNALS 2012, 2012

2011
Extended Input Space Support Vector Machine.
IEEE Trans. Neural Networks, 2011

Improving sale performance prediction using support vector machines.
Expert Syst. Appl., 2011

Improving the accuracy of suicide attempter classification.
Artificial Intelligence in Medicine, 2011

Fast Background Elimination in Fluorescence Microbiology Images: Comparison of Four Algorithms.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

Optimal Neyman-Pearson fusion in two-dimensional sensor networks with serial architecture and dependent observations.
Proceedings of the 14th International Conference on Information Fusion, 2011

2010
Individual identification using personality traits.
J. Network and Computer Applications, 2010

Bayesian joint recovery of correlated signals in Distributed Compressed Sensing.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
Optimal Sensor Selection in Binary Heterogeneous Sensor Networks.
IEEE Trans. Signal Processing, 2009

2008
A simulated annealing approach to speaker segmentation in audio databases.
Eng. Appl. of AI, 2008

On the uncertainty in sequential hypothesis testing.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Compressive sensing detection of stochastic signals.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

2007
Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2007

Maximization of Mutual Information for Supervised Linear Feature Extraction.
IEEE Trans. Neural Networks, 2007

A Sequential Monte Carlo Method for Target Tracking in an Asynchronous Wireless Sensor Network.
Proceedings of the 4th Workshop on Positioning, Navigation and Communication, 2007

A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class.
Proceedings of the International Joint Conference on Neural Networks, 2007

Optimal Sensor Selection in Heterogeneous Sensor Networks.
Proceedings of the IEEE International Conference on Acoustics, 2007

Distributed sequential Monte Carlo algorithms for node localization and target tracking in wireless sensor networks.
Proceedings of the 15th European Signal Processing Conference, 2007

Real-time tracking and identification on an intelligent IR-based surveillance system.
Proceedings of the Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2007

2006
Particle Filtering Algorithms for Tracking a Maneuvering Target Using a Network of Wireless Dynamic Sensors.
EURASIP J. Adv. Sig. Proc., 2006

Distributed Hypothesis Testing Using Local Learning Based Classifiers.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Monte Carlo Method for Joint Node Location and Maneuvering Target Tracking in a Sensor Network.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Fixed-Point Algorithm for Finding the Optimal Covariance Matrix in Kernel Density Modeling.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A particle filter for beacon-free node location and target tracking in sensor networks.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Learning a function and its derivative forcing the support vector expansion.
IEEE Signal Process. Lett., 2005

Convergence of the IRWLS Procedure to the Support Vector Machine Solution.
Neural Computation, 2005

Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives.
Neurocomputing, 2005

Decentralized detection in dense sensor networks with censored transmissions.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Advantages of Unbiased Support Vector Classifiers for Data Mining Applications.
VLSI Signal Processing, 2004

Support vector method for robust ARMA system identification.
IEEE Trans. Signal Processing, 2004

Special Issue on Learning: Advances in Multimedia Communications, Information Processing, and Education.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2004

Adaptively combined LMS and logistic equalizers.
IEEE Signal Process. Lett., 2004

Decentralized detection in sensor networks using range information.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A Gaussian Mixture Based Maximization of Mutual Information for Supervised Feature Extraction.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Multidimensional SVM to include the samples of the derivatives in the reconstruction of a function.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Distributed detection by multiple tests in sensor networks using range information.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Empirical risk minimization for support vector classifiers.
IEEE Trans. Neural Networks, 2003

Support vector machine for the simultaneous approximation of a function and its derivative.
Proceedings of the NNSP 2003, 2003

Supervised-PCA and SVM Classifiers for Object Detection in Infrared Images.
Proceedings of the 2003 IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS 2003), 2003

2002
Support Vector Method for ARMA System Identification: A Robust Cost Interpretation.
Proceedings of the Artificial Neural Networks, 2002

Support Vector Robust Algorithms for Non-parametric Spectral Analysis.
Proceedings of the Artificial Neural Networks, 2002

Multi-dimensional Function Approximation and Regression Estimation.
Proceedings of the Artificial Neural Networks, 2002

Puncturing Multi-class Support Vector Machines.
Proceedings of the Artificial Neural Networks, 2002

Adaptive SVC for nonlinear channel equalization.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Weighted least squares training of support vector classifiers leading to compact and adaptive schemes.
IEEE Trans. Neural Networks, 2001

GCMAC-based predistortion for digital modulations.
IEEE Trans. Communications, 2001

SVC-based equalizer for burst TDMA transmissions.
Signal Processing, 2001

A new optimizing procedure for ν-support vector regressor.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Fast Training of Support Vector Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Support vector classifier with hyperbolic tangent penalty function.
Proceedings of the IEEE International Conference on Acoustics, 2000

An IRWLS procedure for SVR.
Proceedings of the 10th European Signal Processing Conference, 2000

Adaptive combination of LMS and logistic-linear equalizers to improve the speed-performance compromise.
Proceedings of the 10th European Signal Processing Conference, 2000

1999
Deconvolution of seismic data using adaptive Gaussian mixtures.
IEEE Trans. Geoscience and Remote Sensing, 1999

1998
Generalizing CMAC architecture and training.
IEEE Trans. Neural Networks, 1998

Fourier analysis of the generalized CMAC neural network.
Neural Networks, 1998

GGMAC-based equalizer for nonlinear channels.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Reduced-complexity decision-feedback equalizer for nonlinear channels.
Proceedings of the 9th European Signal Processing Conference, 1998

1996
Sparse deconvolution using adaptive mixed-Gaussian models.
Signal Processing, 1996

A new inverse filter criterion for blind deconvolution of spiky signals using Gaussian mixtures.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

A fast LUT+CMAC data predistorter.
Proceedings of the 8th European Signal Processing Conference, 1996

Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning.
Proceedings of the 8th European Signal Processing Conference, 1996

1994
Recurrent radial basis function networks for optimal symbol-by-symbol equalization.
Signal Processing, 1994

1990
Adaptive iterative algorithms for spiky deconvolution.
IEEE Trans. Acoustics, Speech, and Signal Processing, 1990


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