| A Comparison of Optimization Algorithms for Deep Learning D Soydaner International Journal of Pattern Recognition and Artificial Intelligence, 2020 | 186 | 2020 |
| Attention mechanism in neural networks: where it comes and where it goes D Soydaner Neural Computing and Applications 34 (16), 13371-13385, 2022 | 63 | 2022 |
| 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 | 28 | 2021 |
| From paintbrush to pixel: A review of deep neural networks in AI-generated art AS Maerten, D Soydaner arXiv preprint arXiv:2302.10913, 2023 | 21 | 2023 |
| Artificial neural networks with gradient learning algorithm for credit scoring D Soydaner, O Kocadağlı İstanbul Üniversitesi İşletme Fakültesi Dergisi 44 (2), 3-12, 2015 | 14 | 2015 |
| Application of multilayer perceptron with data augmentation in nuclear physics H Bahtiyar, D Soydaner, E Yüksel Applied Soft Computing 128, 109470, 2022 | 6 | 2022 |
| Hyper Autoencoders D Soydaner Neural Processing Letters 52 (2), 1395-1413, 2020 | 4 | 2020 |
| Rolling in the deep convolutional neural networks D Soydaner International Journal of Intelligent Systems and Applications in Engineering …, 2019 | 3* | 2019 |
| 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 | 3 | 2018 |
| Multi-task convolutional neural network for image aesthetic assessment D Soydaner, J Wagemans Ieee Access, 2024 | 2 | 2024 |
| Nuclear mass predictions using machine learning models E Yüksel, D Soydaner, H Bahtiyar arXiv preprint arXiv:2401.02824, 2024 | | 2024 |
| Unveiling The Factors of Aesthetic Preferences with Explainable AI D Soydaner, J Wagemans arXiv preprint arXiv:2311.14410, 2023 | | 2023 |
| 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 D Soydaner Fen Bilimleri Enstitüsü, 2018 | | 2018 |
| Hibrit yapay sinir ağları yaklaşımı ile kredi skorlama D Soydaner | | 2014 |
| International Journal of Intelligent Systems and Applications in Engineering D Soydaner | | |
