| Issue Date | Title | Author(s) |
| 2024 | Algorithmic Stock Trading Based on Ensemble Deep Neural Networks Trained With Time Graph | Yilmaz, Muhammed; Keskin, Mustafa Mert; Ozbayoglu, Ahmet Murat |
| 2021 | Automated Molecule Generation Using Deep Q-Learning and Graph Neural Networks | Isik R.; Tan, Mehmet |
| 2022 | Deep Learning Based Hybrid Computational Intelligence Models for Options Pricing | Arin, Efe; Özbayoğlu, Ahmet Murat |
| 2021 | A Deep Neural Network Model for Stock Investment Recommendation by Considering the Stock Market as a Time Graph | Keskin, Mustafa Mert; Yılmaz, Muhammed; Özbayoğlu, Ahmet Murat |
| 2021 | Deepgrep: a Deep Convolutional Neural Network for Predicting Gene-Regulating Effects of Small Molecules | Bardak B.; Tan, Mehmet |
| 2021 | Efficient Computation of Wireless Sensor Network Lifetime Through Deep Neural Networks | Yılmaz, Muhammed; Özbayoğlu, Ahmet Murat ; Tavlı, Bülent |
| 2023 | Low-Bit Quantization for Deep Graph Neural Networks With Smoothness-Aware Message Propagation | Wang, S.; Eravcı, Bahaeddin; Guliyev, R.; Ferhatosmanoglu, H. |
| 2022 | Mors: an Approximate Fault Modelling Framework for Reduced-Voltage Srams | Yüksel, I.E.; Salami, B.; Ergin, Oğuz ; Ünsal, O.S.; Kestelman, A.C. |
| 2017 | Radar Mikro-doppler İmza Sınıflandırma Problemi için Derin Sinir Ağı Başlatma ve Eğitim Metodolojileri | Seyfioğlu, Mehmet Saygın |
| 2022 | Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures | Görgülüarslan, Recep Muhammet ; Ateş, G.C.; Utku Güngör, Olgun; Yamaner, Y. |
| 2021 | Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures [conference Object] | Gorguluarslan R.M.; Ates G.C.; Gungor O.U.; Yamaner Y. |
