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Jorge I. Padilla-Buritica

Jorge Ivan Padilla-Buriticá – Jorge Ivan Padilla

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2020 – today

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2023
[c9]
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  - conf/acii/ArenasMTMBPOP23
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Javier O. Pinzón Arenas, Luis Mercado-Diaz, Julian Tejada, Fernando Marmolejo-Ramos, Carlos Barrera-Causil, Jorge Ivan Padilla, Raydonal Ospina, Hugo F. Posada-Quintero:
Deep Learning Analysis of Electrophysiological Series for Continuous Emotional State Detection. ACIIW 2023: 1-8
2021
[c8]
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  - conf/ssct/Mora-RubioAAPJB21
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Alejandro Mora-Rubio, Jesús Alejandro Alzate-Grisales, Daniel Arias-Garzón, Jorge Ivan Padilla-Buriticá, Cristian Felipe Jiménez-Varón, Mario Alejandro Bravo-Ortiz, Harold Brayan Arteaga-Arteaga, Mahmoud Hassaballah, Simon Orozco-Arias, Gustavo A. Isaza, Reinel Tabares-Soto:
Multi-subject Identification of Hand Movements Using Machine Learning. SSCT 2021: 117-128

2010 – 2019

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2019
[j2]
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Jorge I. Padilla-Buritica, Juana Valeria Hurtado-Rincón, Germán Castellanos-Domínguez:
Supervised piecewise network connectivity analysis for enhanced confidence of auditory oddball tasks. Biomed. Signal Process. Control. 52: 341-346 (2019)
[c7]
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  - conf/iwinac/Velasquez-Martinez19
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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
[c6]
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  - conf/iwinac/Caicedo-AcostaC19
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Julian Caicedo-Acosta, David Cárdenas-Peña, Diego Fabian Collazos-Huertas, Jorge I. Padilla-Buritica, Germán Castaño Duque, Germán Castellanos-Domínguez:
Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition. IWINAC (1) 2019: 244-251
2018
[c5]
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  - conf/brain/Hurtado-RinconR18
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Juana Valeria Hurtado-Rincón, Francia Restrepo, Jorge Ivan Padilla, Héctor Fabio Torres, Germán Castellanos-Domínguez:
Functional Connectivity Analysis Using the Oddball Auditory Paradigm for Attention Tasks. BI 2018: 99-108
[c4]
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Jorge Ivan Padilla-Buriticá, Héctor Fabio Torres, Ernesto Pereda, A. Correa, Germán Castellanos-Domínguez:
Influence of Time-Series Extraction on Binge Drinking Interpretability Using Functional Connectivity Analysis. BI 2018: 186-194
2017
[c3]
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Jorge Ivan Padilla-Buriticá, Juan David Martínez-Vargas, A. Suárez-Ruiz, José Manuel Ferrández, Germán Castellanos-Domínguez:
Spatial Resolution of EEG Source Reconstruction in Assessing Brain Connectivity Analysis. IWINAC (2) 2017: 77-86
2016
[j1]
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  - journals/ficn/Padilla-Buritica16
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Jorge I. Padilla-Buritica, Juan David Martínez-Vargas, Germán Castellanos-Domínguez:
Emotion Discrimination Using Spatially Compact Regions of Interest Extracted from Imaging EEG Activity. Frontiers Comput. Neurosci. 10: 55 (2016)
2015
[c2]
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Jorge I. Padilla-Buritica, E. Giraldo-Suárez, Germán Castellanos-Domínguez:
Weighted Filtering for Neural Activity Reconstruction Under Time Varying Constraints. IWINAC (1) 2015: 377-387
2011
[c1]
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  - conf/embc/Padilla-Buritica11
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Jorge I. Padilla-Buritica, Eduardo Giraldo, Germán Castellanos-Domínguez:
EEG source localization based on multivariate autoregressive models using Kalman filtering. EMBC 2011: 7151-7154

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