Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Xiomara Patricia Blanco Valencia"'
Autor:
Daniel Proaño-Guevara, Xiomara Patricia Blanco Valencia, Paul D. Rosero-Montalvo, Diego H. Peluffo-Ordóñez
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 5, Pp 40-50 (2022)
In recent times, Artificial Intelligence (AI) has become ubiquitous in technological fields, mainly due to its ability to perform computations in distributed systems or the cloud. Nevertheless, for some applications -as the case of EMG signal process
Externí odkaz:
https://doaj.org/article/04c0a34810354482ab39cd091db067fc
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 2, Pp 4-5 (2021)
The International Journal of Interactive Multimedia and Artificial Intelligence - IJIMAI - provides a space in which scientists and professionals can report about new advances in Artificial Intelligence (AI). On this occasion, for the last edition of
Externí odkaz:
https://doaj.org/article/d86532ca1826483f9ca20e893663e608
Autor:
Xiomara Patricia BLANCO VALENCIA, M. A. BECERRA, A. E. CASTRO OSPINA, M. ORTEGA ADARME, D. VIVEROS MELO, D. H. PELUFFO ORDÓÑEZ
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 6, Iss 1, Pp 31-40 (2017)
This work outlines a unified formulation to represent spectral approaches for both dimensionality reduction and clustering. Proposed formulation starts with a generic latent variable model in terms of the projected input data matrix.Particularly, suc
Externí odkaz:
https://doaj.org/article/9f70a724d047400db211dc6fb9c57abb
Publikováno v:
Expert Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17b6d33c57e3342aaa1458c824890ad2
https://doi.org/10.1111/exsy.13140
https://doi.org/10.1111/exsy.13140
Autor:
David Taniar, Venkatesan Rajinikanth, Robertas Damasevicius, Xiomara Patricia Blanco Valencia, Seifedine Kadry
Publikováno v:
Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
instname
instname
Medical images play a fundamental role in disease screening, and automated evaluation of these images is widely preferred in hospitals. Recently, Convolutional Neural Network (CNN) supported medical data assessment is widely adopted to inspect a set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::810b0ffa569c7a064f0eb397b9054462
https://reunir.unir.net/handle/123456789/12768
https://reunir.unir.net/handle/123456789/12768
Autor:
Juan-Sebastián González-Sanabria, Elena Verdú, Xiomara-Patricia Blanco-Valencia, Camila-Andrea Herrera-Melo, Julián-Camilo Serna-Vargas
Publikováno v:
Revista Científica, Vol 48, Iss 3 (2023)
Cada vez son más las herramientas tecnológicas que surgen cada día para ayudar en la gestión de los procesos editoriales que lleva una revista científica, desde el envío de un trabajo hasta su publicación y seguimiento de citas. Sin embargo, d
Externí odkaz:
https://doaj.org/article/99431af2fa934f0cafb4292f6be034bf