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Luisa Fernanda Velasquez Martinez
Luisa Fernanda Velasquez Martinez
在 unal.edu.co 的电子邮件经过验证
标题
引用次数
引用次数
年份
Time-series discrimination using feature relevance analysis in motor imagery classification
AM Álvarez-Meza, LF Velasquez-Martinez, G Castellanos-Dominguez
Neurocomputing 151, 122-129, 2015
582015
Entropy-based estimation of event-related de/synchronization in motor imagery using vector-quantized patterns
L Velasquez-Martinez, J Caicedo-Acosta, G Castellanos-Dominguez
Entropy 22 (6), 703, 2020
212020
Motor imagery classification for BCI using common spatial patterns and feature relevance analysis
LF Velásquez-Martínez, AM Álvarez-Meza, CG Castellanos-Domínguez
Natural and Artificial Computation in Engineering and Medical Applications …, 2013
192013
An enhanced joint Hilbert embedding-based metric to support mocap data classification with preserved interpretability
CK Valencia-Marin, JD Pulgarin-Giraldo, LF Velasquez-Martinez, ...
Sensors 21 (13), 4443, 2021
102021
Feature relevance analysis supporting automatic motor imagery discrimination in EEG based BCI systems
AM Álvarez-Meza, LF Velásquez-Martínez, G Castellanos-Dominguez
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
102013
Dynamic modeling of common brain neural activity in motor imagery tasks
LF Velasquez-Martinez, F Zapata-Castano, G Castellanos-Dominguez
Frontiers in Neuroscience 14, 714, 2020
82020
Deep and wide transfer learning with kernel matching for pooling data from electroencephalography and psychological questionnaires
DF Collazos-Huertas, LF Velasquez-Martinez, HD Perez-Nastar, ...
Sensors 21 (15), 5105, 2021
72021
Group differences in time-frequency relevant patterns for user-independent BCI applications
LF Velasquez-Martinez, FY Zapata-Castaño, JI Padilla-Buritica, ...
Understanding the Brain Function and Emotions: 8th International Work …, 2019
62019
Regression networks for neurophysiological indicator evaluation in practicing motor imagery tasks
L Velasquez-Martinez, J Caicedo-Acosta, C Acosta-Medina, ...
Brain Sciences 10 (10), 707, 2020
52020
Detecting EEG dynamic changes using supervised temporal patterns
LF Velasquez-Martinez, FY Zapata-Castaño, D Cárdenas-Peña, ...
Progress in Artificial Intelligence and Pattern Recognition: 6th …, 2018
32018
Kernel-based relevant feature extraction to support Motor Imagery classification
L Arias-Mora, L López-Ríos, Y Céspedes-Villar, LF Velasquez-Martinez, ...
2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA …, 2015
32015
Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities
LF Velasquez-Martinez, AM Alvarez-Meza, G Castellanos-Dominguez
International Work-Conference on the Interplay Between Natural and …, 2015
22015
Subject-Oriented Dynamic Characterization of Motor Imagery Tasks Using Complexity Analysis
LF Velasquez-Martinez, F Arteaga, G Castellanos-Dominguez
Brain Informatics: 12th International Conference, BI 2019, Haikou, China …, 2019
12019
Relevance of common spatial patterns ranked by kernel PCA in motor imagery classification
LF Velasquez-Martinez, D Luna-Naranjo, D Cárdenas-Peña, ...
Brain Informatics: 12th International Conference, BI 2019, Haikou, China …, 2019
12019
Multiple instance learning selecting time-frequency features for Brain Computing Interfaces
J Caicedo-Acosta, L Velasquez-Martinez, D Cárdenas-Peña, ...
International Workshop on Artificial Intelligence and Pattern Recognition …, 2018
12018
Detection of EEG Dynamic Changes Due to Stimulus-Related Activity in Motor Imagery Recordings
LF Velasquez-Martinez, A Alvarez-Meza, G Castellanos-Dominguez
Natural and Artificial Computation for Biomedicine and Neuroscience …, 2017
12017
Relevance and redundancy analysis of PCG signals in the detection of heart murmurs by anova
L Velásquez-Martínez, S Murillo-Rendón, G Castellanos-Domínguez
2012 XVII symposium of image, signal processing, and artificial vision …, 2012
12012
Discriminating mental states by extracting relevant spatial patterns under non-stationary and subject-independent constraints
LF Velásquez Martínez, I Motora
Universidad Nacional de Colombia, 2023
2023
Feature Representation Frameworks to support Brain Activity Signals Analysis
LF Velásquez Martínez
Departamento de Ingeniería Eléctrica, Electrónica y Computación, 2015
2015
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