Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces. - Julian Caicedo-Acosta; Luisa Fernanda Velásquez-Martínez; David Cárdenas-Peña; Germán Castellanos-Domínguez (IWAIPR, 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)

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)

Individual Detection of Citrus and Avocado Trees Using Extended Maxima Transform Summation on Digital Surface Models. - Daniel Guillermo García-Murillo; Julian Caicedo-Acosta; Germán Castellanos-Domínguez (Remote. Sens., 2020)

Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators. - Julian Caicedo-Acosta; German A. Castaño; Carlos Daniel Acosta-Medina; Andrés Álvarez-Meza; Germán Castellanos-Domínguez (Sensors, 2021)