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Targeted Data Augmentation for Improving Model Robustness Cover

Targeted Data Augmentation for Improving Model Robustness

International Journal of Applied Mathematics and Computer Science
Volume 35 (2025): Issue 1 (March 2025)
By: Agnieszka Mikołajczyk-Bareła,  Maria Ferlin and  Michał Grochowski  
Open Access
|Apr 2025

Authors

Agnieszka Mikołajczyk-Bareła

Department of Intelligent Control Systems and Decision Support, Gdańsk University of Technology, Gdańsk, Poland

Maria Ferlin

Department of Intelligent Control Systems and Decision Support, Gdańsk University of Technology, Gdańsk, Poland

Michał Grochowski

michal.grochowski@pg.edu.pl

Department of Intelligent Control Systems and Decision Support, Gdańsk University of Technology, Gdańsk, Poland
DOI: https://doi.org/10.61822/amcs-2025-0011 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 143 - 155
Submitted on: May 22, 2024
|
Accepted on: Nov 12, 2024
|
Published on: Apr 1, 2025
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
bias mitigation,
classification,
data augmentation,
deep neural networks
Related subjects:
Mathematics,
Applied mathematics

© 2025 Agnieszka Mikołajczyk-Bareła, Maria Ferlin, Michał Grochowski, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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