| 2022 | INISTA | Multi-Resolution Inter-Level Refinement (MR-ILR) Architecture for Anomaly Prediction in IoT Data. | Rifat Orhan ikmazel, Alper Saylam, Volkan Rodoplu, Cneyt Gzelis |
| 2020 | INISTA | End-To-End Learning from Demonstation for Object Manipulation of Robotis-Op3 Humanoid Robot. | Simge Nur Aslan, Recep Ozalp, Aysegl Uar, Cneyt Gzelis |
| 2020 | INISTA | Fast Object Recognition for Humanoid Robots by Using Deep Learning Models with Small Structure. | Simge Nur Aslan, Aysegl Uar, Cneyt Gzelis |
| 2019 | INISTA | An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion. | Recen zaln, agri Kaymak, zal Yildirim, Aysegl Uar, Yakup Demir, Cneyt Gzelis |
| 2016 | INISTA | Moving towards in object recognition with deep learning for autonomous driving applications. | Aysegl Uar, Yakup Demir, Cneyt Gzelis |
| 2016 | MMAR | Design and implementation of chaotic system based robust delta robot for blending graphene nanoplatelets. | Ali Emre Kavur, Sibel Demiroglu Mustafov, M. Ozgur Seydibeyoglu, Ozgun Baser, Cneyt Gzelis, Savas Sahin |
| 2003 | ICANN | A Gradient Network for Vector Quantization and Its Image Compression Applications. | Hatice Dogan, Cneyt Gzelis |
| 2003 | ICANN | Fuzzy Model Identification Using Support Vector Clustering Method. | Aysegl Uar, Yakup Demir, Cneyt Gzelis |
| 2003 | IJCNN | A new design method for complex-valued multistate hopfield associative memory. | Mehmet Kerem Mezzinoglu, Cneyt Gzelis, Jacek M. Zurada |
| 1997 | ICASSP | Efficient image restoration using cellular neural networks. | Mehmet Ertugrul elebi, Cneyt Gzelis |
| 1995 | ICIP | Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework. | Bilge Gnsel, Cneyt Gzelis |