Deirel Paz-Linares
Deirel Paz-Linares
University of Electronic Science and Technology of China
Verified email at neuroinformatics-collaboratory.org - Homepage
Title
Cited by
Cited by
Year
Spatio temporal EEG source imaging with the hierarchical bayesian elastic net and elitist lasso models
D Paz-Linares, M Vega-Hernandez, PA Rojas-Lopez, ...
Frontiers in neuroscience 11, 635, 2017
202017
EECoG-Comp: An Open Source Platform for Concurrent EEG/ECoG Comparisons—Applications to Connectivity Studies
Q Wang, PA Valdés-Hernández, D Paz-Linares, J Bosch-Bayard, ...
Brain topography 32 (4), 550-568, 2019
52019
Neural Connectivity with Hidden Gaussian Graphical State-Model
PAVS D Paz-Linares, E Gonzalez-Moreira, J Bosch-Bayard, A Areces-Gonzalez, M ...
arXiv preprint arXiv:1810.01174, 2018
5*2018
Caulking the Leakage Effect in MEEG Source Connectivity Analysis
E Gonzalez-Moreira, D Paz-Linares, A Areces-Gonzalez, R Wang, ...
arXiv preprint arXiv:1810.00786, 2018
52018
Third generation MEEG source connectivity analysis toolbox (BC-VARETA 1.0) and validation benchmark
E Gonzalez-Moreira, D Paz-Linares, A Areces-Gonzalez, R Wang, ...
arXiv preprint arXiv:1810.11212, 2018
42018
Populational super-resolution sparse M/EEG sources and connectivity estimation
E Gonzalez-Moreira, D Paz-Linares, E Martinez-Montes, ...
bioRxiv, 346569, 2018
32018
Empirical bayes formulation of the elastic net and mixed-norm models: application to the eeg inverse problem
D Paz-Linares, M Vega-Hernández, PA Rojas-López, PA Valdés-Sosa, ...
arXiv preprint arXiv:1601.06749, 2016
12016
Computational tool to study high dimensional dynamic in NMM
A González-Mitjans, D Paz-Linares, A Areces-Gonzalez, ...
arXiv preprint arXiv:2009.07479, 2020
2020
Bottom-up control of leakage in spectral electrophysiological source imaging via structured sparse bayesian learning
E Gonzalez-Moreira, D Paz-Linares, A Areces-Gonzalez, Y Wang, M Li, ...
bioRxiv, 2020
2020
An Age-Adjusted EEG Source Classifier Accurately Detects School-Aged Barbadian Children That Had Protein Energy Malnutrition in the First Year of Life
MLB Vega, Y Guo, Q Tang, FA Razzaq, AC Reyes, P Ren, DP Linares, ...
Frontiers in Neuroscience 13, 2019
2019
Structured Sparse Bayesian Learning with Spectral Elastic Net model for EEG evaluation of Learning Disabled Children
E Gonzalez-Moreira, D Paz-Linares, T Fernández, M Roca-Stappung, ...
2019
High Accuracy Classification of School-aged Barbadian Children with Histories of Early Protein Malnutrition (PEM) using an Source Imaging based Age-adjusted
ML Bringas, Y Guo, Q Tang, FA Razzaq, A Calzada-Reyes, D Paz-Linares, ...
Frontiers in Neuroscience 13, 1222, 2019
2019
Measuring and Suppressing M/EEG Connectivity Leakage
DDAVSP Paz-Linares D., Gonzalez-Moreira E.
OHBM 2019, 2019
2019
Achieving Super-Resolution in EEG Sources Cross-Spectra Estimation
PAVS Eduardo Gonzalez-Moreira, Deirel Paz-Linares
OHBM 2018, 2018
2018
Toolbox for the extension of the qEEG to MEG
Q Wang, E Gonzalez-Moreira, D Paz-Linares, PA Valdes-Sosa
OHBM 2018, 2018
2018
Inverse Modeling the Dynamical Variables of Brain Activity
D Paz-Linares
Workshop of the Cuba-China Lab “The Neural plasticity, functional …, 2016
2016
Empirical Bayesian Mixed-norm and Elastic Net for spatio-temporal electromagnetic source imaging
D Paz-Linares, M Vega-Hernández, PA Valdés-Sosa, E Martínez-Montes
OHBM 2015, 2015
2015
Formulacion Bayesiana de la Regresion Lineal con Restricciones basadas en los Modelos de Norma-Mixta y Elastic-Net
DP Linares, IAMV Hernández
UNIVERSITY OF HAVANA, 2015
2015
Empirical Bayesian Models of L1/L2 Mixed-norm Constraints
D Paz-Linares, M Vega-Hernández, E Martínez-Montes
NEUROTECHNIX 2014 (51641), 51641, 2014
2014
A measure for Quality Control of Electroencephalographic (EEG) Lead Fields for large datasets
U Riaz, FA Razzaqa, A Areces-Gonzalez, D Paz-Linares, S Huang, ...
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Articles 1–20