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JUCS - Journal of Universal Computer Science 28(1): 80-97
https://doi.org/10.3897/jucs.70484 (28 Jan 2022)
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JUCS - Journal of Universal Computer Science 28(1): 80-97
doi: 10.3897/jucs.70484
Received: 22 Jun 2021 | Approved: 20 Oct 2021 | Published: 28 Jan 2022
This article is part of:
JUCS - Journal of Universal Computer Science 28(1)
Authors
   
Canan Tastimur - Corresponding author
Erzincan Binali Yildirim University, Erzincan, Turkey
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Erhan Akin
Firat University, Elazig, Turkey
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Author contributions

Classification of the problem using OSL and Siamese networks with an insufficient data set that cannot be solved with traditional neural networks

Comparison of the performance of the developed network under many scenarios in addition to the existing work in OSL and Siamese networks
Examination of factors such as the number of iterations, the number of classes, the number of validation samples, which differ from other studies


Conflict of interest
The authors have declared that no competing interests exist.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-ND 4.0). This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
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