Faster R-CNN for Object Location in a Virtual Environment for Sorting Task. - Javier O. Pinzón Arenas; Robinson Jiménez; Paula C. Useche Murillo (Int. J. Online Eng., 2018)

Obstacle Detection Using Faster R-CNN Oriented to an Autonomous Feeding Assistance System. - Javier Orlando Pinzon-Arenas; Robinson Jiménez-Moreno (ICICT, 2020)

Towards Continuous Acute Pain Detection using Deep Learning and Electrodermal Activity. - Javier O. Pinzón Arenas; Hugo F. Posada-Quintero (BHI, 2022)

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)

Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity. - Javier O. Pinzón Arenas; Youngsun Kong; Ki H. Chon; Hugo F. Posada-Quintero (IEEE J. Biomed. Health Informatics, 2023)

Pruning Policy for Image Classification Problems Based on Deep Learning. - César G. Pachón; Javier O. Pinzon-Arenas; Dora M. Ballesteros L. (Informatics, 2024)

FlexiPrune: A Pytorch tool for flexible CNN pruning policy selection. - César G. Pachón; Javier O. Pinzon-Arenas; Dora M. Ballesteros L. (SoftwareX, 2024)