| Learning across decentralized multi-modal remote sensing archives with federated learning B Büyüktaş, G Sumbul, B Demir IGARSS 2023-2023 IEEE international geoscience and remote sensing symposium …, 2023 | 13 | 2023 |
| Curriculum learning for face recognition B Büyüktaş, ÇE Erdem, T Erdem 2020 28th European Signal Processing Conference (EUSIPCO), 650-654, 2021 | 10 | 2021 |
| More learning with less labeling for face recognition B Büyüktaş, ÇE Erdem, T Erdem Digital Signal Processing 136, 103915, 2023 | 5 | 2023 |
| Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification B Büyüktaş, G Sumbul, B Demir IEEE Geoscience and Remote Sensing Magazine 12 (3), 64-80, 2024 | 4 | 2024 |
| Transformer-based federated learning for multi-label remote sensing image classification B Büyüktaş, K Weitzel, S Völkers, F Zailskas, B Demir IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | 2 | 2024 |
| Estimating Capture Probabilities for Complex Topologies in 2D Molecular Communication via Diffusion Channel using Artificial Neural Networks HU Ozdemir, HI Orhan, M Turan, B Büyüktaş, HB Yilmaz 2021 IEEE International Black Sea Conference on Communications and …, 2021 | 1 | 2021 |
| Communication-Efficient Federated Learning Based on Explanation-Guided Pruning for Remote Sensing Image Classification J Klotz, B Büyüktaş, B Demir arXiv preprint arXiv:2501.11493, 2025 | | 2025 |
| A Mock Circulatory Network Testbed for Molecular Communications B Büyüktaş, O Yetimoğlu, A Dilmaç, ZC Canbek, HB Yilmaz 2021 29th Signal Processing and Communications Applications Conference (SIU …, 2021 | | 2021 |
