Výsledky vyhledávání - "A. Pérez Espinosa"

Akademický článek

VisUAM: A web-based tool for data visualization in scientific research

Autor: Adriana Pérez-Espinosa, Manuel Aguilar-Cornejo, Leonardo Dagdug, José Luis Quiroz-Fabián, Graciela Román-Alonso, Miguel A. Castro-García

Publikováno v: SoftwareX, Vol 27, Iss , Pp 101852- (2024)

Visualization is essential for interpreting data, especially in scientific research where datasets often come from experiments or simulations. Data visualization techniques vary based on the data type. For example, mapping can illustrate city traffic

Externí odkaz: https://doaj.org/article/05d3e50c10b04b699c3a1b62c662bcc1

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Akademický článek

Addressing subjectivity in paralinguistic data labeling for improved classification performance: A case study with Spanish-speaking Mexican children using data balancing and semi-supervised learning

Autor: Fajardo-Delgado, Daniel, Vázquez-Gómez, Isabel G., Pérez-Espinosa, Humberto

Publikováno v: In Computer Speech & Language November 2024 88

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Akademický článek

Changes In the lipid composition of rat hepatic microsomes induced by the diet

Autor: V. Ruíz Gutiérrez, A. Pérez Espinosa, F. J. García Muriana

Publikováno v: Grasas y Aceites, Vol 45, Iss 4, Pp 232-236 (1994)

The effect on the hepatic microsomes from rats fed with either virgin olive oil (10%) or fish oil (10%), with or without added cholesterol (1%), has been studied. The fatty acid composition, desaturase activities and microviscosity (membrane fluidity

Externí odkaz: https://doaj.org/article/179196431545423d90b5a11d83b9d065

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Report

A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels

Autor: Andreu-Perez, Javier, Pérez-Espinosa, Humberto, Timonet, Eva, Kiani, Mehrin, Girón-Pérez, Manuel I., Benitez-Trinidad, Alma B., Jarchi, Delaram, Rosales-Pérez, Alejandro, Gatzoulis, Nick, Reyes-Galaviz, Orion F., Torres-García, Alejandro, Reyes-García, Carlos A., Ali, Zulfiqar, Rivas, Francisco

Publikováno v: IEEE Transactions on Services Computing (2021)

We seek to evaluate the detection performance of a rapid primary screening tool of Covid-19 solely based on the cough sound from 8,380 clinically validated samples with laboratory molecular-test (2,339 Covid-19 positives and 6,041 Covid-19 negatives)

Externí odkaz: http://arxiv.org/abs/2111.05895