Luisa Fernanda Velásquez-Martínez

According to our database, Luisa Fernanda Velásquez-Martínez authored at least 13 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

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

Cristian Kaori Valencia-Marin, Juan Diego Pulgarin-Giraldo, Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez

Sensors, 2021

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

Diego Fabian Collazos-Huertas, Luisa Fernanda Velásquez-Martínez, Hernan Dario Perez-Nastar, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez

Sensors, 2021

2020

Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns.

Luisa Fernanda Velásquez-Martínez, Julian Caicedo-Acosta, Germán Castellanos-Domínguez

Entropy, 2020

2019

Group Differences in Time-Frequency Relevant Patterns for User-Independent BCI Applications.

Luisa Fernanda Velásquez-Martínez, F. Y. Zapata-Castaño, Jorge I. Padilla-Buritica, José Manuel Ferrández de Vicente, Germán Castellanos-Domínguez

Proceedings of the Understanding the Brain Function and Emotions, 2019

Subject-Oriented Dynamic Characterization of Motor Imagery Tasks Using Complexity Analysis.

Luisa Fernanda Velásquez-Martínez, L. F. Arteaga-Daza, Germán Castellanos-Domínguez

Proceedings of the Brain Informatics - 12th International Conference, 2019

Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification.

Luisa Fernanda Velásquez-Martínez, David Luna-Naranjo, David Cárdenas-Peña, Carlos Daniel Acosta-Medina, German A. Castaño, Germán Castellanos-Domínguez

Proceedings of the Brain Informatics - 12th International Conference, 2019

2018

Detecting EEG Dynamic Changes Using Supervised Temporal Patterns.

Luisa Fernanda Velásquez-Martínez, F. Y. Zapata-Castaño, David Cárdenas-Peña, Germán Castellanos-Domínguez

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces.

Julian Caicedo-Acosta, Luisa Fernanda Velásquez-Martínez, David Cárdenas-Peña, Germán Castellanos-Domínguez

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

2017

Detection of EEG Dynamic Changes Due to Stimulus-Related Activity in Motor Imagery Recordings.

Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez

Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

2015

Time-series discrimination using feature relevance analysis in motor imagery classification.

Andrés Marino Álvarez-Meza, Luisa Fernanda Velásquez-Martínez, Germán Castellanos-Domínguez

Neurocomputing, 2015

Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities.

Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez

Proceedings of the Artificial Computation in Biology and Medicine, 2015

2013

Motor Imagery Classification for BCI Using Common Spatial Patterns and Feature Relevance Analysis.

Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez

Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

Feature relevance analysis supporting automatic motor imagery discrimination in EEG based BCI systems.

Andrés Marino Álvarez-Meza, Luisa Fernanda Velásquez-Martínez, Germán Castellanos-Domínguez

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013