Juan David Martínez-Vargas

Orcid: 0000-0001-7037-6925

According to our database1, Juan David Martínez-Vargas authored at least 32 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Soundscape Characterization Using Autoencoders and Unsupervised Learning.
Sensors, April, 2024

Graph-Based Audio Classification Using Pre-Trained Models and Graph Neural Networks.
Sensors, April, 2024

2023
Automatic Detection of Focal Cortical Dysplasia Using MRI: A Systematic Review.
Sensors, August, 2023

2022
Classification of Psychophysiological Patterns During Emotional Processing Using SVM.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

2020
Influence of Patient-Specific Head Modeling on EEG Source Imaging.
Comput. Math. Methods Medicine, 2020

2019
Enhanced Data Covariance Estimation Using Weighted Combination of Multiple Gaussian Kernels for Improved M/EEG Source Localization.
Int. J. Neural Syst., 2019

2018
EEG Based Brain Mapping by Using Frequency-Spatio-Temporal Constraints.
Proceedings of the Brain Informatics - International Conference, 2018

Assessment of Source Connectivity for Emotional States Discrimination.
Proceedings of the Brain Informatics - International Conference, 2018

2017
Spatial Resolution of EEG Source Reconstruction in Assessing Brain Connectivity Analysis.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

Identification of Nonstationary Brain Networks Using Time-Variant Autoregressive Models.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

EEG Source Imaging Based on Dynamic Sparse Coding as ADHD Biomarker.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Non-linear Covariance Estimation for Reconstructing Neural Activity with MEG/EEG Data.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Influence of Population Dependent Forward Models on Distributed EEG Source Reconstruction.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

2016
Reconstruction of Neural Activity from EEG Data Using Dynamic Spatiotemporal Constraints.
Int. J. Neural Syst., 2016

Emotion Discrimination Using Spatially Compact Regions of Interest Extracted from Imaging EEG Activity.
Frontiers Comput. Neurosci., 2016

Identification of Relevant Inter-channel EEG Connectivity Patterns: A Kernel-Based Supervised Approach.
Proceedings of the Brain Informatics and Health - International Conference, 2016

2015
Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints.
NeuroImage, 2015

Estimation of M/EEG Non-stationary Brain Activity Using Spatio-temporal Sparse Constraints.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Single-Channel Separation Between Stationary and Non-stationary Signals Using Relevant Information.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2014
Recursive Separation of Stationary Components by Subspace Projection and Stochastic Constraints.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Feature selection for discrimination of fractionation levels in atrial electrograms.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Identification of brain networks using time-varying spatial constraints of neural activity reconstruction.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Entropy-based multichannel measure of stationarity for characterization of motor imagery patterns.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Stationary Signal Separation Using Multichannel Local Segmentation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013
Local binary fitting energy solution by graph cuts for MRI segmentation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Detection of obstructive sleep apnoea using dynamic filter-banked features.
Expert Syst. Appl., 2012

Time-frequency based feature selection for discrimination of non-stationary biosignals.
EURASIP J. Adv. Signal Process., 2012

Effect of latency on clustering of P300 recordings for ADHD discrimination.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Extraction of stationary components in biosignal discrimination.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Extraction of Stationary Spectral Components Using Stochastic Variability.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011
On determining available stochastic features by spectral splitting in obstructive sleep apnea detection.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Complexity-based analysis for the detection of heart murmurs.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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