Single-Trial Kernel-Based Functional Connectivity for Enhanced Feature Extraction in Motor-Related Tasks

by Daniel Guillermo García-Murillo, Andres Alvarez-Meza, German Castellanos-Dominguez
Published 2021-04-01

AKL-ABC: An Automatic Approximate Bayesian Computation Approach Based on Kernel Learning

by Wilson González-Vanegas, Andrés Álvarez-Meza, José Hernández-Muriel, Álvaro Orozco-Gutiérrez
Published 2019-09-01

A Discriminative Multi-Output Gaussian Processes Scheme for Brain Electrical Activity Analysis

by Cristian Torres-Valencia, Álvaro Orozco, David Cárdenas-Peña, Andrés Álvarez-Meza, Mauricio Álvarez
Published 2020-09-01

Regression Networks for Neurophysiological Indicator Evaluation in Practicing Motor Imagery Tasks

by Luisa Velasquez-Martinez, Julian Caicedo-Acosta, Carlos Acosta-Medina, Andres Alvarez-Meza, German Castellanos-Dominguez
Published 2020-10-01

Regularized Chained Deep Neural Network Classifier for Multiple Annotators

by Julián Gil-González, Andrés Valencia-Duque, Andrés Álvarez-Meza, Álvaro Orozco-Gutiérrez, Andrea García-Moreno
Published 2021-06-01

Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators

by Julian Caicedo-Acosta, German A. Castaño, Carlos Acosta-Medina, Andres Alvarez-Meza, German Castellanos-Dominguez
Published 2021-03-01

Kernel-Based Phase Transfer Entropy with Enhanced Feature Relevance Analysis for Brain Computer Interfaces

by Iván De La Pava Panche, Andrés Álvarez-Meza, Paula Marcela Herrera Gómez, David Cárdenas-Peña, Jorge Iván Ríos Patiño, Álvaro Orozco-Gutiérrez
Published 2021-07-01