Browsing by Subject
Deep neural networks
Showing results 1 to 10 of 10
| Issue Date | Title | Author(s) |
| 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.; Eravci, B.; 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 imza 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. |
