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Reinel Tabares-Soto
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2020 – today
- 2024
- [j16]Ricardo Ortega-Bolaños, Joshua Bernal-Salcedo, Mariana Germán Ortiz, Julian Galeano Sarmiento, Gonzalo A. Ruz, Reinel Tabares-Soto:
Applying the ethics of AI: a systematic review of tools for developing and assessing AI-based systems. Artif. Intell. Rev. 57(5): 110 (2024) - [j15]Mario Alejandro Bravo-Ortiz, Esteban Mercado Ruiz
, Juan Pablo Villa Pulgarin
, Carlos Angel Hormaza-Cardona, Sebastián Quiñones Arredondo, Harold Brayan Arteaga-Arteaga
, Simon Orozco-Arias
, Oscar Cardona-Morales
, Reinel Tabares-Soto:
CVTStego-Net: A convolutional vision transformer architecture for spatial image steganalysis. J. Inf. Secur. Appl. 81: 103695 (2024) - [j14]Sergio Alejandro Holguin-Garcia, Ernesto Guevara-Navarro, Alvaro Eduardo Daza-Chica, Maria Alejandra Patiño-Claro, Harold Brayan Arteaga-Arteaga, Gonzalo A. Ruz, Reinel Tabares-Soto, Mario Alejandro Bravo-Ortiz:
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure. BMC Medical Informatics Decis. Mak. 24(1): 60 (2024) - 2023
- [j13]Gutierrez-Portela Fernando
, Harold Brayan Arteaga-Arteaga
, Florina Almenárez Mendoza
, Liliana Calderón-Benavides
, Héctor-Gabriel Acosta-Mesa
, Reinel Tabares-Soto
:
Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI). IEEE Access 11: 70542-70559 (2023) - [j12]Jesús Alejandro Alzate-Grisales
, Alejandro Mora-Rubio
, Francisco García-García
, Reinel Tabares-Soto
, María de la Iglesia-Vayá
:
SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model. IEEE Access 11: 118217-118228 (2023) - [j11]Simon Orozco-Arias
, Luis Humberto López-Murillo, Mariana S. Candamil-Cortes, Maradey Arias, Paula A. Jaimes, Alexandre Rossi Paschoal
, Reinel Tabares-Soto, Gustavo A. Isaza, Romain Guyot
:
Inpactor2: a software based on deep learning to identify and classify LTR-retrotransposons in plant genomes. Briefings Bioinform. 24(1) (2023) - [j10]María Ximena Arias-Barahona, Harold Brayan Arteaga-Arteaga
, Simon Orozco-Arias, Juan Camilo Flórez-Ruíz, Mario Andrés Valencia-Díaz, Reinel Tabares-Soto:
Requests classification in the customer service area for software companies using machine learning and natural language processing. PeerJ Comput. Sci. 9: e1016 (2023) - [j9]Alejandro Mora-Rubio
, Mario Alejandro Bravo-Ortiz, Sebastián Quiñones Arredondo, José Manuel Saborit-Torres, Gonzalo A. Ruz
, Reinel Tabares-Soto:
Classification of Alzheimer's disease stages from magnetic resonance images using deep learning. PeerJ Comput. Sci. 9: e1490 (2023) - 2022
- [j8]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
:
Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning. IEEE Access 10: 42971-42982 (2022) - [j7]Simon Orozco-Arias
, Mariana S. Candamil-Cortes
, Paula A. Jaimes, Estiven Valencia-Castrillon, Reinel Tabares-Soto, Gustavo A. Isaza, Romain Guyot:
Automatic curation of LTR retrotransposon libraries from plant genomes through machine learning. J. Integr. Bioinform. 19(3) (2022) - [i1]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, María de la Iglesia-Vayá, Oscar Cardona-Morales
, Reinel Tabares-Soto:
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review. CoRR abs/2206.05615 (2022) - 2021
- [j6]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
:
GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis. IEEE Access 9: 14340-14350 (2021) - [j5]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:
Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain. PeerJ Comput. Sci. 7: e451 (2021) - [j4]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
:
Sensitivity of deep learning applied to spatial image steganalysis. PeerJ Comput. Sci. 7: e616 (2021) - [j3]Harold Brayan Arteaga-Arteaga
, Alejandro Mora-Rubio
, Frank Florez, Nicolas Murcia-Orjuela, Cristhian Eduardo Diaz-Ortega, Simon Orozco-Arias
, Melissa delaPava, Mario Alejandro Bravo-Ortiz, Melvin Deloyd Robinson, Pablo Guillén-Rondon
, Reinel Tabares-Soto:
Machine learning applications to predict two-phase flow patterns. PeerJ Comput. Sci. 7: e798 (2021) - [c2]Simon Orozco-Arias
, Mariana S. Candamil-Cortes
, Paula A. Jaimes
, Estiven Valencia-Castrillon, Reinel Tabares-Soto, Romain Guyot, Gustavo A. Isaza
:
Deep Neural Network to Curate LTR Retrotransposon Libraries from Plant Genomes. PACBB 2021: 85-94 - [c1]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:
Multi-subject Identification of Hand Movements Using Machine Learning. SSCT 2021: 117-128 - 2020
- [j2]Reinel Tabares-Soto, Simon Orozco-Arias
, Victor Romero-Cano
, Vanesa Segovia Bucheli, José Luis Rodríguez-Sotelo, Cristian Felipe Jiménez-Varón
:
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data. PeerJ Comput. Sci. 6: e270 (2020)
2010 – 2019
- 2019
- [j1]Reinel Tabares-Soto
, Raúl Ramos-Pollán, Gustavo A. Isaza
:
Deep Learning Applied to Steganalysis of Digital Images: A Systematic Review. IEEE Access 7: 68970-68990 (2019)
Coauthor Index
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last updated on 2024-06-10 20:32 CEST by the dblp team
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