Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Gustavo Isaza"'
Autor:
Simon Orozco-Arias, Luis Humberto Lopez-Murillo, Johan S Piña, Estiven Valencia-Castrillon, Reinel Tabares-Soto, Luis Castillo-Ossa, Gustavo Isaza, Romain Guyot
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0291925 (2023)
Analysis of eukaryotic genomes requires the detection and classification of transposable elements (TEs), a crucial but complex and time-consuming task. To improve the performance of tools that accomplish these tasks, Machine Learning approaches (ML)
Externí odkaz:
https://doaj.org/article/b9ea6f4a348848a38ae6f26ced2ddce3
Autor:
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
Publikováno v:
PeerJ Computer Science, Vol 7, p e616 (2021)
In recent years, the traditional approach to spatial image steganalysis has shifted to deep learning (DL) techniques, which have improved the detection accuracy while combining feature extraction and classification in a single model, usually a convol
Externí odkaz:
https://doaj.org/article/cba02b4217a848b294233bef9c4a45c2
Autor:
Simon Orozco-Arias, Mariana S. Candamil-Cortés, Paula A. Jaimes, Johan S. Piña, Reinel Tabares-Soto, Romain Guyot, Gustavo Isaza
Publikováno v:
PeerJ, Vol 9, p e11456 (2021)
Every day more plant genomes are available in public databases and additional massive sequencing projects (i.e., that aim to sequence thousands of individuals) are formulated and released. Nevertheless, there are not enough automatic tools to analyze
Externí odkaz:
https://doaj.org/article/14f116a687724fa8bfa716e8c4b1baf1
Autor:
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
Publikováno v:
PeerJ Computer Science, Vol 7, p e451 (2021)
In recent years, Deep Learning techniques applied to steganalysis have surpassed the traditional two-stage approach by unifying feature extraction and classification in a single model, the Convolutional Neural Network (CNN). Several CNN architectures
Externí odkaz:
https://doaj.org/article/ec5bda4e460a487d82b6b5e4a0df3391
Publikováno v:
PeerJ, Vol 7, p e8311 (2019)
Background Transposable elements (TEs) constitute the most common repeated sequences in eukaryotic genomes. Recent studies demonstrated their deep impact on species diversity, adaptation to the environment and diseases. Although there are many conven
Externí odkaz:
https://doaj.org/article/54195f0e1ee94ae4aae2befdd2a7c939
Autor:
Lesly L. BAREÑO, Pilar PUEBLA, Carlos M. GUERRA, Arturo SAN FELICIANO, Gustavo ISAZA, Mario F. GUERRERO
Publikováno v:
Vitae, Vol 24, Iss 3 (2017)
Background: Passiflora quadrangularis L. is among the species used in Colombian folk medicine for hypertension, but until now it has not been studied in experimental models. Objectives: To assess the capacity of P. quadrangularis L. EtOH extract to p
Externí odkaz:
https://doaj.org/article/d2d505c584714017a9a97d47f135ab91
Autor:
Lluís Barceló-Coblijn, Diego Serna Salazar, Gustavo Isaza, Luis F Castillo Ossa, Manuel G Bedia
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0181341 (2017)
To date there is no software that directly connects the linguistic analysis of a conversation to a network program. Networks programs are able to extract statistical information from data basis with information about systems of interacting elements.
Externí odkaz:
https://doaj.org/article/8f7f88c68510483c9547148795cb51a7
Publikováno v:
International Journal of Molecular Sciences, Vol 20, Iss 15, p 3837 (2019)
Transposable elements (TEs) are genomic units able to move within the genome of virtually all organisms. Due to their natural repetitive numbers and their high structural diversity, the identification and classification of TEs remain a challenge in s
Externí odkaz:
https://doaj.org/article/3ab622c8b3744e62bf6502652a2d27f8
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 1, Iss 3, Pp 49-54 (2013)
This paper aims to present a multiagent system for network management. The models developed for the proposed system defines certain intelligent agents interact to achieve the objectives and requirements of the multiagent organization.These agents hav
Externí odkaz:
https://doaj.org/article/e0b5265c33b344a6afd3533c2e991428
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 1, Iss 3, Pp 49-54 (2012)
This paper aims to present a multiagent system for network management. The models developed for the proposed system defines certain intelligent agents interact to achieve the objectives and requirements of the multiagent organization.These agents hav
Externí odkaz:
https://doaj.org/article/b0173cdfd2e94061bf5830f4e6f6e151