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ORCIDLuisa Fernanda Velásquez-Martínez
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Journal Articles
- 2021
[j4]Cristian Kaori Valencia-Marin
, Juan Diego Pulgarin-Giraldo, Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability. Sensors 21(13): 4443 (2021)- [j3]Diego Fabian Collazos-Huertas, Luisa Fernanda Velásquez-Martínez, Hernan Dario Perez-Nastar, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires. Sensors 21(15): 5105 (2021) - 2020
- [j2]Luisa Fernanda Velásquez-Martínez, Julian Caicedo-Acosta, Germán Castellanos-Domínguez:
Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns. Entropy 22(6): 703 (2020) - 2015
- [j1]Andrés Marino Álvarez-Meza, Luisa Fernanda Velásquez-Martínez, Germán Castellanos-Domínguez:
Time-series discrimination using feature relevance analysis in motor imagery classification. Neurocomputing 151: 122-129 (2015)
Conference and Workshop Papers
- 2019
- [c9]Luisa Fernanda Velásquez-Martínez, David Luna-Naranjo, David Cárdenas-Peña, Carlos Daniel Acosta-Medina, German A. Castaño, Germán Castellanos-Domínguez:
Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification. BI 2019: 13-20 - [c8]Luisa Fernanda Velásquez-Martínez, L. F. Arteaga-Daza, Germán Castellanos-Domínguez:
Subject-Oriented Dynamic Characterization of Motor Imagery Tasks Using Complexity Analysis. BI 2019: 21-28 - [c7]Luisa Fernanda Velásquez-Martínez, F. Y. Zapata-Castaño, Jorge I. Padilla-Buritica, José Manuel Ferrández de Vicente, Germán Castellanos-Domínguez:
Group Differences in Time-Frequency Relevant Patterns for User-Independent BCI Applications. IWINAC (1) 2019: 138-145 - 2018
- [c6]Julian Caicedo-Acosta, Luisa Fernanda Velásquez-Martínez, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces. IWAIPR 2018: 326-333 - [c5]Luisa Fernanda Velásquez-Martínez, F. Y. Zapata-Castaño, David Cárdenas-Peña, Germán Castellanos-Domínguez:
Detecting EEG Dynamic Changes Using Supervised Temporal Patterns. IWAIPR 2018: 351-358 - 2017
- [c4]Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Detection of EEG Dynamic Changes Due to Stimulus-Related Activity in Motor Imagery Recordings. IWINAC (1) 2017: 435-443 - 2015
- [c3]Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities. IWINAC (1) 2015: 439-448 - 2013
- [c2]Andrés Marino Álvarez-Meza, Luisa Fernanda Velásquez-Martínez, Germán Castellanos-Domínguez:
Feature relevance analysis supporting automatic motor imagery discrimination in EEG based BCI systems. EMBC 2013: 7068-7071 - [c1]Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez:
Motor Imagery Classification for BCI Using Common Spatial Patterns and Feature Relevance Analysis. IWINAC (2) 2013: 365-374
Coauthor Index
aka: César Germán Castellanos-Domínguez
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