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Reinel Tabares-Soto
PeerJ Author
1,110 Points

Contributions by role

Author 1,110

Contributions by subject area

Bioinformatics
Ecology
Computational Science
Data Mining and Machine Learning
Spatial and Geographic Information Science
Artificial Intelligence
Genomics
Computer Vision
Neural Networks
Data Science
Security and Privacy
Cryptography
Plant Science
Algorithms and Analysis of Algorithms
Natural Language and Speech

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 10
April 22, 2025
Predicting no-shows at outpatient appointments in internal medicine using machine learning models
Felipe Ocampo Osorio, Santiago Pedroza Gomez, David Esteban Rebellón Sanchez, Richard Ramirez Fernandez, Reinel Tabares-Soto, Mario Alejandro Bravo-Ortíz, Gustavo Adolfo Cruz Suarez
https://doi.org/10.7717/peerj-cs.2762
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