EEG source localization based on multivariate autoregressive models using Kalman filtering. - Jorge I. Padilla-Buritica; Eduardo Giraldo 001; Germán Castellanos-Domínguez (EMBC, 2011)

Weighted Filtering for Neural Activity Reconstruction Under Time Varying Constraints. - Jorge I. Padilla-Buritica; E. Giraldo-Suárez; Germán Castellanos-Domínguez (IWINAC (1), 2015)

Emotion Discrimination Using Spatially Compact Regions of Interest Extracted from Imaging EEG Activity. - Jorge I. Padilla-Buritica; Juan David Martínez-Vargas; Germán Castellanos-Domínguez (Frontiers Comput. Neurosci., 2016)

Spatial Resolution of EEG Source Reconstruction in Assessing Brain Connectivity Analysis. - Jorge Ivan Padilla-Buriticá; Juan David Martínez-Vargas; A. Suárez-Ruiz; José Manuel Ferrández; Germán Castellanos-Domínguez (IWINAC (2), 2017)

Functional Connectivity Analysis Using the Oddball Auditory Paradigm for Attention Tasks. - Juana Valeria Hurtado-Rincón; Francia Restrepo; Jorge Ivan Padilla; Héctor Fabio Torres; Germán Castellanos-Domínguez (BI, 2018)

Influence of Time-Series Extraction on Binge Drinking Interpretability Using Functional Connectivity Analysis. - Jorge Ivan Padilla-Buriticá; Héctor Fabio Torres; Ernesto Pereda; A. Correa; Germán Castellanos-Domínguez (BI, 2018)

Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition. - Julian Caicedo-Acosta; David Cárdenas-Peña; Diego Fabian Collazos-Huertas; Jorge I. Padilla-Buritica; Germán Castaño Duque; Germán Castellanos-Domínguez (IWINAC (1), 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 (IWINAC (1), 2019)

Supervised piecewise network connectivity analysis for enhanced confidence of auditory oddball tasks. - Jorge I. Padilla-Buritica; Juana Valeria Hurtado-Rincón; Germán Castellanos-Domínguez (Biomed. Signal Process. Control., 2019)

Multi-subject Identification of Hand Movements Using Machine Learning. - 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 (SSCT, 2021)

Deep Learning Analysis of Electrophysiological Series for Continuous Emotional State Detection. - Javier O. Pinzón Arenas; Luis Mercado-Diaz; Julian Tejada; Fernando Marmolejo-Ramos; Carlos Javier Barrera Causil; Jorge Ivan Padilla; Raydonal Ospina; Hugo F. Posada-Quintero (ACIIW, 2023)