Simon Orozco Arias
Simon Orozco Arias
Universidad Autónoma de Manizales
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Retrotransposons in plant genomes: structure, identification, and classification through bioinformatics and machine learning
S Orozco-Arias, G Isaza, R Guyot
International journal of molecular sciences 20 (15), 3837, 2019
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data
R Tabares-Soto, S Orozco-Arias, V Romero-Cano, VS Bucheli, ...
PeerJ Computer Science 6, e270, 2020
A systematic review of the application of machine learning in the detection and classification of transposable elements
S Orozco-Arias, G Isaza, R Guyot, R Tabares-Soto
PeerJ 7, e8311, 2019
GBRAS-Net: a convolutional neural network architecture for spatial image steganalysis
TS Reinel, AAH Brayan, BOM Alejandro, MR Alejandro, AG Daniel, ...
IEEE Access 9, 14340-14350, 2021
Inpactor, integrated and parallel analyzer and classifier of LTR retrotransposons and its application for pineapple LTR retrotransposons diversity and dynamics
S Orozco-Arias, J Liu, R Tabares-Soto, D Ceballos, D Silva Domingues, ...
Biology 7 (2), 32, 2018
Structure and Distribution of Centromeric Retrotransposons at Diploid and Allotetraploid Coffea Centromeric and Pericentromeric Regions
R de Castro Nunes, S Orozco-Arias, D Crouzillat, LA Mueller, SR Strickler, ...
Frontiers in plant science 9, 175, 2018
Application of Data Mining Algorithms to Classify Biological Data: The Coffea canephora Genome Case
J Arango-López, S Orozco-Arias, JA Salazar, R Guyot
Colombian Conference on Computing, 156-170, 2017
COVID-19 detection in X-ray images using convolutional neural networks
D Arias-Garzón, JA Alzate-Grisales, S Orozco-Arias, HB Arteaga-Arteaga, ...
Machine Learning with Applications 6, 100138, 2021
Digital media steganalysis
R Tabares-Soto, R Ramos-Pollán, G Isaza, S Orozco-Arias, MAB Ortíz, ...
Digital Media Steganography, 259-293, 2020
Cervical cancer classification using convolutional neural networks, transfer learning and data augmentation
Revista EIA 18 (35), 100-111, 2021
Measuring performance metrics of machine learning algorithms for detecting and classifying transposable elements
S Orozco-Arias, JS Piña, R Tabares-Soto, LF Castillo-Ossa, R Guyot, ...
Processes 8 (6), 638, 2020
Parallel programming in biological sciences, taking advantage of supercomputing in genomics
S Orozco-Arias, R Tabares-Soto, D Ceballos, R Guyot
Colombian Conference on Computing, 627-643, 2017
Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain
R Tabares-Soto, HB Arteaga-Arteaga, A Mora-Rubio, MA Bravo-Ortíz, ...
PeerJ Computer Science 7, e451, 2021
A machine learning-based pipeline for the classification of CTX-M in metagenomics samples
D Ceballos, D López-Álvarez, G Isaza, R Tabares-Soto, S Orozco-Arias, ...
Processes 7 (4), 235, 2019
Aplicación de la Inteligencia Artificial en la Bioinformática, avances, definiciones y herramientas* Aplication of Artificial Intelligence in Bioinformatics, advances …
SO Arias, JA López
UGCiencia 22 (1), 159-171, 2016
InpactorDB: a classified lineage-level plant LTR retrotransposon reference library for free-alignment methods based on machine learning
S Orozco-Arias, PA Jaimes, MS Candamil, CF Jiménez-Varón, ...
Genes 12 (2), 190, 2021
The absence of the caffeine synthase gene is involved in the naturally decaffeinated status of Coffea humblotiana, a wild species from Comoro archipelago
N Raharimalala, S Rombauts, A McCarthy, A Garavito, S Orozco-Arias, ...
Scientific reports 11 (1), 1-14, 2021
Optimized Convolutional Neural Network Models for Skin Lesion Classification
JP Villa-Pulgarin, AA Ruales-Torres, D Arias-Garzón, MA Bravo-Ortiz, ...
Computers, Materials \& Continua 70 (2), 2131--2148, 2021
K-mer-based machine learning method to classify LTR-retrotransposons in plant genomes
S Orozco-Arias, MS Candamil-Cortés, PA Jaimes, JS Piña, ...
PeerJ 9, e11456, 2021
Sensitivity of deep learning applied to spatial image steganalysis
R Tabares-Soto, HB Arteaga-Arteaga, A Mora-Rubio, MA Bravo-Ortíz, ...
PeerJ Computer Science 7, e616, 2021
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