Implementation of Enzyme Family Classification by using Autoencoders in a Study Case with Imbalanced and Underrepresented Classes
Authors
Center for Informatics Research, Faculty of Mathematics, Physics, and Computer Science, Central University “Marta Abreu” de Las Villas, Cuba
Center for Informatics Research, Faculty of Mathematics, Physics, and Computer Science, Central University “Marta Abreu” de Las Villas, Cuba
Center for Informatics Research, Faculty of Mathematics, Physics, and Computer Science, Central University “Marta Abreu” de Las Villas, Cuba
María Matilde García Lorenzo
Center for Informatics Research, Faculty of Mathematics, Physics, and Computer Science, Central University “Marta Abreu” de Las Villas, Cuba
Language: English
Page range: 42 - 48
Submitted on: Apr 15, 2024
Accepted on: May 20, 2024
Published on: Mar 31, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 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.