Multiple Kernel Stein Spatial Patterns for the Multiclass Discrimination of Motor Imagery Tasks

by Steven Galindo-Noreña, David Cárdenas-Peña, Álvaro Orozco-Gutierrez
Published 2020-12-01

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

by Andres M. Alvarez-Meza, Alvaro Orozco-Gutierrez, German Castellanos-Dominguez
Published 2017-10-01

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

by Ivan De La Pava Panche, Andres M. Alvarez-Meza, Alvaro Orozco-Gutierrez
Published 2019-11-01

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

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

Machine Fault Detection Based on Filter Bank Similarity Features Using Acoustic and Vibration Analysis

by Mauricio Holguín-Londoño, Oscar Cardona-Morales, Edgar F. Sierra-Alonso, Juan D. Mejia-Henao, Álvaro Orozco-Gutiérrez, German Castellanos-Dominguez
Published 2016-01-01

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