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Derya Soydaner
Derya Soydaner
Assistant Professor, Leiden University
Overená e-mailová adresa na: liacs.leidenuniv.nl - Domovská stránka
Názov
Citované v
Citované v
Rok
A Comparison of Optimization Algorithms for Deep Learning
D Soydaner
International Journal of Pattern Recognition and Artificial Intelligence, 2020
2672020
Attention mechanism in neural networks: where it comes and where it goes
D Soydaner
Neural Computing and Applications 34 (16), 13371-13385, 2022
1802022
From paintbrush to pixel: A review of deep neural networks in AI-generated art
AS Maerten, D Soydaner
arXiv preprint arXiv:2302.10913, 2023
382023
Nuclear binding energy predictions using neural networks: Application of the multilayer perceptron
E Yüksel, D Soydaner, H Bahtiyar
International Journal of Modern Physics E 30 (03), 2150017, 2021
322021
Artificial neural networks with gradient learning algorithm for credit scoring
D Soydaner, O Kocadağlı
İstanbul Üniversitesi İşletme Fakültesi Dergisi 44 (2), 3-12, 2015
142015
Application of multilayer perceptron with data augmentation in nuclear physics
H Bahtiyar, D Soydaner, E Yüksel
Applied Soft Computing 128, 109470, 2022
92022
Nuclear mass predictions using machine learning models
E Yüksel, D Soydaner, H Bahtiyar
Physical Review C 109 (6), 064322, 2024
82024
Multi-task convolutional neural network for image aesthetic assessment
D Soydaner, J Wagemans
Ieee Access 12, 4716-4729, 2024
72024
Hyper Autoencoders
D Soydaner
Neural Processing Letters 52 (2), 1395-1413, 2020
42020
Rolling in the deep convolutional neural networks
D Soydaner
International Journal of Intelligent Systems and Applications in Engineering, 2019
3*2019
Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks
Y Zhang, D Soydaner, F Behrad, L Koßmann, J Wagemans
arXiv preprint arXiv:2411.00627, 2024
22024
Training deep neural network based hyper autoencoders with machine learning methods
D Soydaner
PhD dissertation, Mimar Sinan Fine Arts University, Institute of Science and …, 2018
22018
Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks
Y Zhang, D Soydaner, L Koßmann, F Behrad, J Wagemans
arXiv preprint arXiv:2408.12460, 2024
12024
Unveiling the factors of aesthetic preferences with explainable AI
D Soydaner, J Wagemans
British Journal of Psychology, 2024
12024
Have Large Vision-Language Models Mastered Art History?
O Strafforello, D Soydaner, M Willems, AS Maerten, S De Winter
arXiv preprint arXiv:2409.03521, 2024
2024
BackFlip: The Impact of Local and Global Data Augmentations on Artistic Image Aesthetic Assessment
O Strafforello, GM Odriozola, F Behrad, LW Chen, AS Maerten, ...
arXiv preprint arXiv:2408.14173, 2024
2024
A multi-task learning approach based on convolutional neural networks for image aesthetic evaluation
D Soydaner, J Wagemans
Perception 51, 168-168, 2022
2022
Art forms in nature: perceptual and aesthetic properties of Ernst Haeckel's drawings of new species
J Wagemans, I De Vlieghe, C Bossens, D Soydaner, C Damiano, ...
TeaP (Tagung experimentell arbeitender Psycholog: innen; Conference of …, 2022
2022
Derin sinir ağı temelli üst özkodlayıcıların yapay öğrenme yöntemleriyle eğitilmesi (Training deep neural network based hyper autoencoders with machine learning methods)
D Soydaner
Mimar Sinan Güzel Sanatlar University, Turkey, 2018
2018
Derin sinir ağı temelli üst özkodlayıcıların yapay öğrenme yöntemleriyle eğitilmesi
D Soydaner
Mimar Sinan Güzel Sanatlar Üniversitesi, 2018
2018
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20