Reinel Tabares-Soto

PeerJ Author

Summary

received a B.S. degree in electronic engineering from Universidad Nacional de Colombia in 2009, a B.S. degree in systems and computer engineering from Universidad de Caldas, Colombia, in 2016, and a M.S. degree in engineering from Universidad Nacional de Colombia in 2017. He is currently pursuing a Ph.D. degree in computer science at Universidad Autónoma de Manizales, Colombia, where he has been Coordinator in the Department of Electronics since 2014. His main research interests include steganalysis, machine learning, deep learning, bioinformatics, and high-performance computing.

Bioinformatics Computational Science Data Mining & Machine Learning Ecology Spatial & Geographic Information Science

Past or current institution affiliations

Universidad Adolfo Ibáñez

Universidad de Caldas

Work details

Research

Universidad Autonóma de Manizales

Electronics and Automation

PeerJ Contributions

Articles 9

August 24, 2023

Classification of Alzheimer’s disease stages from magnetic resonance images using deep learning

Alejandro Mora-Rubio, Mario Alejandro Bravo-Ortíz, Sebastián Quiñones Arredondo, Jose Manuel Saborit Torres, Gonzalo A. Ruz, Reinel Tabares-Soto

https://doi.org/10.7717/peerj-cs.1490

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

May 19, 2021

K-mer-based machine learning method to classify LTR-retrotransposons in plant genomes

Simon Orozco-Arias, Mariana S. Candamil-Cortés, Paula A. Jaimes, Johan S. Piña, Reinel Tabares-Soto, Romain Guyot, Gustavo Isaza

https://doi.org/10.7717/peerj.11456 PubMed 34055489

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

April 13, 2020

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data

Reinel Tabares-Soto, Simon Orozco-Arias, Victor Romero-Cano, Vanesa Segovia Bucheli, José Luis Rodríguez-Sotelo, Cristian Felipe Jiménez-Varón

https://doi.org/10.7717/peerj-cs.270

December 18, 2019

A systematic review of the application of machine learning in the detection and classification of transposable elements

Simon Orozco-Arias, Gustavo Isaza, Romain Guyot, Reinel Tabares-Soto

https://doi.org/10.7717/peerj.8311 PubMed 31976169

January 14, 2019

Worldwide co-occurrence analysis of 17 species of the genus Brachypodium using data mining

Simon Orozco-Arias, Ana María Núñez-Rincón, Reinel Tabares-Soto, Diana López-Álvarez

https://doi.org/10.7717/peerj.6193 PubMed 30656067