Zobrazeno 1 - 7
of 7
pro vyhledávání: '"DERYA SOYDANER"'
Autor:
Derya Soydaner, Johan Wagemans
Publikováno v:
IEEE Access, Vol 12, Pp 4716-4729 (2024)
As people’s aesthetic preferences for images are far from understood, image aesthetic assessment is a challenging artificial intelligence task. The range of factors underlying this task is almost unlimited, but we know that some aesthetic attribute
Externí odkaz:
https://doaj.org/article/f90a481e97fe4f378ee320c26b45eb18
Neural networks have become popular in many fields of science since they serve as promising, reliable and powerful tools. In this work, we study the effect of data augmentation on the predictive power of neural network models for nuclear physics data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::596b67cd75ec90cc45b6d3a763a7bf32
http://arxiv.org/abs/2205.07953
http://arxiv.org/abs/2205.07953
Autor:
DERYA SOYDANER
A long time ago in the machine learning literature, the idea of incorporating a mechanism inspired by the human visual system into neural networks was introduced. This idea is named the attention mechanism, and it has gone through a long development
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c46387d3e239b2cf030cbb17465ad30
http://arxiv.org/abs/2204.13154
http://arxiv.org/abs/2204.13154
Autor:
DERYA SOYDANER
Publikováno v:
Neural Processing Letters. 52:1395-1413
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a5d69d61664088e4fce02e6529b5a82
https://doi.org/10.1007/s11063-020-10310-y
https://doi.org/10.1007/s11063-020-10310-y
In recent years, artificial neural networks and their applications for large data sets have became a crucial part of scientific research. In this work, we implement the Multilayer Perceptron (MLP), which is a class of feedforward artificial neural ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3358609c804f92e377afac56bd8bcd0d
http://arxiv.org/abs/2101.12117
http://arxiv.org/abs/2101.12117
Autor:
Derya Soydaner
Publikováno v:
International Journal of Intelligent Systems and Applications in Engineering; Vol. 7 No. 4 (2019); 222-226
Over the past years, convolutional neural networks (CNNs) have achieved remarkable success in deep learning. The performance of CNN-based models has caused major advances in a wide range of tasks from computer vision to natural language processing. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77611a0dc2c58c23ac6eb473e5006680
https://www.ijisae.org/index.php/IJISAE/article/view/1075
https://www.ijisae.org/index.php/IJISAE/article/view/1075
Autor:
Derya Soydaner
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 34:2052013
In recent years, we have witnessed the rise of deep learning. Deep neural networks have proved their success in many areas. However, the optimization of these networks has become more difficult as neural networks going deeper and datasets becoming bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::231850bbda52468f69285f14f86b14a6
https://doi.org/10.1142/s0218001420520138
https://doi.org/10.1142/s0218001420520138