Simon Orozco-Arias

Orcid: 0000-0001-5991-8770

According to our database1, Simon Orozco-Arias authored at least 12 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Inpactor2: a software based on deep learning to identify and classify LTR-retrotransposons in plant genomes.
Briefings Bioinform., January, 2023

Requests classification in the customer service area for software companies using machine learning and natural language processing.
PeerJ Comput. Sci., 2023

2022
Automatic curation of LTR retrotransposon libraries from plant genomes through machine learning.
J. Integr. Bioinform., 2022

Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review.
CoRR, 2022

Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning.
IEEE Access, 2022

2021
Sensitivity of deep learning applied to spatial image steganalysis.
PeerJ Comput. Sci., 2021

Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain.
PeerJ Comput. Sci., 2021

Machine learning applications to predict two-phase flow patterns.
PeerJ Comput. Sci., 2021

GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis.
IEEE Access, 2021


Deep Neural Network to Curate LTR Retrotransposon Libraries from Plant Genomes.
Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2021

2020
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data.
PeerJ Comput. Sci., 2020


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