Subject-Dependent Artifact Removal for Enhancing Motor Imagery Classifier Performance under Poor Skills

por Tobón-Henao, Mateo, Álvarez-Meza, Andrés, Castellanos-Domínguez, Germán
Publicado 2022

Kernel-Based Relevance Analysis with Enhanced Interpretability for Detection of Brain Activity Patterns

por Alvarez-Meza, Andres M., Orozco-Gutierrez, Alvaro, Castellanos-Dominguez, German
Publicado 2017

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

por García-Murillo, Daniel Guillermo, Alvarez-Meza, Andres, Castellanos-Dominguez, German
Publicado 2021

KCS-FCnet: Kernel Cross-Spectral Functional Connectivity Network for EEG-Based Motor Imagery Classification

por García-Murillo, Daniel Guillermo, Álvarez-Meza, Andrés Marino, Castellanos-Dominguez, Cesar German
Publicado 2023

A Data-Driven Measure of Effective Connectivity Based on Renyi's α-Entropy

por De La Pava Panche, Ivan, Alvarez-Meza, Andres M., Orozco-Gutierrez, Alvaro
Publicado 2019

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

por González-Vanegas, Wilson, Álvarez-Meza, Andrés, Hernández-Muriel, José, Orozco-Gutiérrez, Álvaro
Publicado 2019

Regression Networks for Neurophysiological Indicator Evaluation in Practicing Motor Imagery Tasks

por Velasquez-Martinez, Luisa, Caicedo-Acosta, Julian, Acosta-Medina, Carlos, Alvarez-Meza, Andres, Castellanos-Dominguez, German
Publicado 2020

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

por Caicedo-Acosta, Julian, Castaño, German A., Acosta-Medina, Carlos, Alvarez-Meza, Andres, Castellanos-Dominguez, German
Publicado 2021

Affective Neural Responses Sonified through Labeled Correlation Alignment

por Álvarez-Meza, Andrés Marino, Torres-Cardona, Héctor Fabio, Orozco-Alzate, Mauricio, Pérez-Nastar, Hernán Darío, Castellanos-Dominguez, German
Publicado 2023

A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments

por Cardona-Álvarez, Yeison Nolberto, Álvarez-Meza, Andrés Marino, Cárdenas-Peña, David Augusto, Castaño-Duque, Germán Albeiro, Castellanos-Dominguez, German
Publicado 2023

Chained Deep Learning Using Generalized Cross-Entropy for Multiple Annotators Classification

por Triana-Martinez, Jenniffer Carolina, Gil-González, Julian, Fernandez-Gallego, Jose A., Álvarez-Meza, Andrés Marino, Castellanos-Dominguez, Cesar German
Publicado 2023

An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability

por Valencia-Marin, Cristian Kaori, Pulgarin-Giraldo, Juan Diego, Velasquez-Martinez, Luisa Fernanda, Alvarez-Meza, Andres Marino, Castellanos-Dominguez, German
Publicado 2021

Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires

por Collazos-Huertas, Diego Fabian, Velasquez-Martinez, Luisa Fernanda, Perez-Nastar, Hernan Dario, Alvarez-Meza, Andres Marino, Castellanos-Dominguez, German
Publicado 2021

Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity

por Collazos-Huertas, Diego Fabian, Álvarez-Meza, Andrés Marino, Cárdenas-Peña, David Augusto, Castaño-Duque, Germán Albeiro, Castellanos-Domínguez, César Germán
Publicado 2023

Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation

por Valencia-Duque, Andrés F., Cárdenas-Peña, David A., Álvarez-Meza, Andrés M., Orozco-Gutiérrez, Álvaro A., Quintero-Riaza, Héctor F.
Publicado 2021

Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation

por Jimenez-Castaño, Cristian Alfonso, Álvarez-Meza, Andrés Marino, Aguirre-Ospina, Oscar David, Cárdenas-Peña, David Augusto, Orozco-Gutiérrez, Álvaro Angel
Publicado 2021