Harold Brayan Arteaga-Arteaga

PeerJ Author

Summary

Arteaga-Arteaga Harold Brayan received a degree in Electronic Engineering from Universidad Autónoma de Manizales (UAM), Colombia. He is PhD Candidate in Engineering at UAM. He has been associated with the university research group on Bioinformatics and Artificial Intelligence since 2018. He has data science, machine learning, deep learning, bioinformatics, and automation skills to solve multiple problems in different branches of knowledge.

Artificial Intelligence Data Mining & Machine Learning Data Science

Work details

PhD Candidate in Engineering

Universidad Autónoma de Manizales

February 2023

Department of Electronics and Automation

The Department of Electronics and Automation is a unit with functions of academic and administrative, whose primary function is the generation of scenarios of integration of research, teaching and the projection environment, to objects of study, disciplinary and interdisciplinary, related to the knowledge and practice of the Electronics and their applications in very diverse fields of knowledge ranging from the creation of automated devices and robotic for all types of industries, until its implantation in living beings to improve the quality of life. Is attached to the faculty of Engineering. It is integrated by a group of teachers with profiles and professions related to the area of electronics, in charge, among other functions: To impart theoretical and practical knowledge in programs such as Electronic Engineering, Systems Engineering, Mechanical Engineering, Biomedical Engineering, Industrial Engineering and Technology of Industrial Automation, through different subjects. To carry out the various processes and projects of Research under the policy Research Network. Actively participate in the development of certificate courses, open courses, specializations, masters and doctorates. Assist in varied tasks of promotion of the programs attached to the UAM®. Create outreach programs aimed at children and young people especially, to awaken motivation towards the study of electronics and robotics. (https://www.autonoma.edu.co/departamentos-academicos/departamento-de-electronica-y-automatizacion-industrial)

Websites

Google Scholar

PeerJ Contributions

Articles 5

September 29, 2025

Transformers and capsule networks vs classical ML on clinical data for alzheimer classification

Mario Alejandro Bravo-Ortíz, Sergio Alejandro Holguin-Garcia, Ernesto Guevara-Navarro, Esteban Cerón-Cabrera, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga, Gonzalo A. Ruz, Reinel Tabares-Soto

https://doi.org/10.7717/peerj-cs.3208

March 17, 2023

Requests classification in the customer service area for software companies using machine learning and natural language processing

María Ximena Arias-Barahona, Harold Brayan Arteaga-Arteaga, Simón Orozco-Arias, Juan Camilo Flórez-Ruíz, Mario Andrés Valencia-Díaz, Reinel Tabares-Soto

https://doi.org/10.7717/peerj-cs.1016

November 29, 2021

Machine learning applications to predict two-phase flow patterns

Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Frank Florez, Nicolas Murcia-Orjuela, Cristhian Eduardo Diaz-Ortega, Simon Orozco-Arias, Melissa delaPava, Mario Alejandro Bravo-Ortíz, Melvin Robinson, Pablo Guillen-Rondon, Reinel Tabares-Soto

https://doi.org/10.7717/peerj-cs.798

August 31, 2021

Sensitivity of deep learning applied to spatial image steganalysis

Reinel Tabares-Soto, Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Mario Alejandro Bravo-Ortíz, Daniel Arias-Garzón, Jesús Alejandro Alzate-Grisales, Simon Orozco-Arias, Gustavo Isaza, Raúl Ramos-Pollán

https://doi.org/10.7717/peerj-cs.616

April 9, 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-Ortíz, Daniel Arias-Garzón, Jesús Alejandro Alzate Grisales, Alejandro Burbano Jacome, Simon Orozco-Arias, Gustavo Isaza, Raul Ramos Pollan

https://doi.org/10.7717/peerj-cs.451