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Eduardo Gonzalez-Moreira

Researcher at National Autonomous University of Mexico

Publications -  20
Citations -  86

Eduardo Gonzalez-Moreira is an academic researcher from National Autonomous University of Mexico. The author has contributed to research in topics: Graphical model & Medicine. The author has an hindex of 6, co-authored 13 publications receiving 70 citations. Previous affiliations of Eduardo Gonzalez-Moreira include University of Electronic Science and Technology of China & Central University, India.

Papers
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Journal ArticleDOI

Automatic Prosodic Analysis to Identify Mild Dementia

TL;DR: The results attained show that the proposed computational speech analysis offers a viable alternative for automatic identification of dementia features in elderly adults.
Book ChapterDOI

A Spoken Language Database for Research on Moderate Cognitive Impairment: Design and Preliminary Analysis

TL;DR: The design of a spoken language database where patients' voices are collected during regular clinical screening tests for cognitive impairment is presented, and a preliminary analysis on the speech recorded from a small group of MCI patients and healthy elder controls suggests these measures can offer a sensitive method of assessing speech output in MCI.
Posted Content

Caulking the Leakage Effect in MEEG Source Connectivity Analysis

TL;DR: This paper proposes a novel solution method that caulks the Leakage in MEEG source activity and connectivity estimates: BC-VARETA, which outperforms most state of the art inverse solvers by several orders of magnitude.
Posted Content

Third Generation MEEG Source Connectivity Analysis Toolbox (BC-VARETA 1.0) and Validation Benchmark

TL;DR: This paper presents a new toolbox for MEEG source activity and connectivity estimation: Brain Connectivity Variable Resolution Tomographic Analysis version 1.0 (BC-VARETA 1.1), which relies on the third generation of nonlinear methods for the analysis of resting state MeeG Time Series.
Posted ContentDOI

Populational Super-Resolution Sparse M/EEG Sources and Connectivity Estimation

TL;DR: A novel methodology for estimating the Inverse Solution and its Precision Matrix in the frequency domain representation of Stationary Time Series and aims to achieve super high resolution in the connectivity estimation through Sparse Hermitian Sources Graphical Model.