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Implementation of Enzyme Family Classification by using Autoencoders in a Study Case with Imbalanced and Underrepresented Classes Cover

Implementation of Enzyme Family Classification by using Autoencoders in a Study Case with Imbalanced and Underrepresented Classes

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 19 (2025): Issue 1 (March 2025)
By: Darian Fernández Gutiérrez,  Ariadna Arbolaez Espinosa,  Deborah Raquel Galpert Cañizares and  María Matilde García Lorenzo  
Open Access
|Mar 2025

Authors

Darian Fernández Gutiérrez

dfgutierrez@uclv.cu

Center for Informatics Research, Faculty of Mathematics, Physics, and Computer Science, Central University “Marta Abreu” de Las Villas, Cuba

Ariadna Arbolaez Espinosa

ararbolaez@uclv.cu

Center for Informatics Research, Faculty of Mathematics, Physics, and Computer Science, Central University “Marta Abreu” de Las Villas, Cuba

Deborah Raquel Galpert Cañizares

deborah@uclv.edu.cu

Center for Informatics Research, Faculty of Mathematics, Physics, and Computer Science, Central University “Marta Abreu” de Las Villas, Cuba

María Matilde García Lorenzo

mmgarcia@uclv.edu.cu

Center for Informatics Research, Faculty of Mathematics, Physics, and Computer Science, Central University “Marta Abreu” de Las Villas, Cuba
DOI: https://doi.org/10.14313/jamris-2025-005 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 42 - 48
Submitted on: Apr 15, 2024
Accepted on: May 20, 2024
Published on: Mar 31, 2025
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
autoencoders,
bioinformatics,
embeddings,
enzyme classification
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2025 Darian Fernández Gutiérrez, Ariadna Arbolaez Espinosa, Deborah Raquel Galpert Cañizares, María Matilde García Lorenzo, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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