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)

GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis. - Reinel Tabares-Soto; Harold Brayan Arteaga-Arteaga; Mario Alejandro Bravo-Ortiz; Alejandro Mora-Rubio; Daniel Arias-Garzón; Jesús Alejandro Alzate-Grisales; Alejandro Buenaventura Burbano-Jacome; Simon Orozco-Arias; Gustavo A. Isaza; Raúl Ramos-Pollán (IEEE Access, 2021)

Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain. - Reinel Tabares-Soto; Harold Brayan Arteaga-Arteaga; Alejandro Mora-Rubio; Mario Alejandro Bravo-Ortiz; Daniel Arias-Garzón; Jesús Alejandro Alzate-Grisales; Alejandro Buenaventura Burbano-Jacome; Simon Orozco-Arias; Gustavo A. Isaza; Raúl Ramos-Pollán (PeerJ Comput. Sci., 2021)

Sensitivity of deep learning applied to spatial image steganalysis. - Reinel Tabares-Soto; Harold Brayan Arteaga-Arteaga; Alejandro Mora-Rubio; Mario Alejandro Bravo-Ortiz; Daniel Arias-Garzón; Jesús Alejandro Alzate-Grisales; Simon Orozco-Arias; Gustavo A. Isaza; Raúl Ramos-Pollán (PeerJ Comput. Sci., 2021)

Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning. - Manuel Alejandro Tamayo Monsalve; Esteban Mercado Ruiz; Juan Pablo Villa Pulgarin; Mario Alejandro Bravo-Ortiz; Harold Brayan Arteaga-Arteaga; Alejandro Mora-Rubio; Jesús Alejandro Alzate-Grisales; Daniel Arias-Garzón; Victor Romero-Cano; Simon Orozco-Arias; Gustavo Osorio; Reinel Tabares-Soto (IEEE Access, 2022)

Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review. - Harold Brayan Arteaga-Arteaga; Melissa delaPava; Alejandro Mora-Rubio; Mario Alejandro Bravo-Ortiz; Jesús Alejandro Alzate-Grisales; Daniel Arias-Garzón; Luis Humberto López-Murillo; Felipe Buitrago-Carmona; Juan Pablo Villa Pulgarin; Esteban Mercado Ruiz; Simon Orozco-Arias; Mahmoud Hassaballah; et al. (CoRR, 2022)

Building better forecasting pipelines: A generalizable guide to multi-output spatio-temporal forecasting. - Daniel Arias-Garzón; Reinel Tabares-Soto; Gonzalo A. Ruz (Expert Syst. Appl., 2025)