| Multi-task self-supervised learning for human activity detection A Saeed, T Ozcelebi, J Lukkien Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 255 | 2019 |
| Client intelligence for adaptive streaming solutions D Jarnikov, T Özçelebi Signal Processing: Image Communication 26 (7), 378-389, 2011 | 105 | 2011 |
| Federated self-supervised learning of multisensor representations for embedded intelligence A Saeed, FD Salim, T Ozcelebi, J Lukkien IEEE Internet of Things Journal 8 (2), 1030-1040, 2020 | 96 | 2020 |
| Exploring user-centered intelligent road lighting design: a road map and future research directions C Atıcı, T Ozcelebi, JJ Lukkien IEEE Transactions on Consumer Electronics 57 (2), 788-793, 2011 | 92 | 2011 |
| Towards federated unsupervised representation learning B van Berlo, A Saeed, T Ozcelebi Proceedings of the third ACM international workshop on edge systems …, 2020 | 72 | 2020 |
| Understanding IoT systems: a life cycle approach LF Rahman, T Ozcelebi, J Lukkien Procedia computer science 130, 1057-1062, 2018 | 72 | 2018 |
| Temporal and spatial scaling for stereoscopic video compression A Aksay, C Bilen, E Kurutepe, T Ozcelebi, GB Akar, MR Civanlar, ... 2006 14th European Signal Processing Conference, 1-5, 2006 | 70 | 2006 |
| Network resource management M De Boer, H Carr, W Wedershoven, K Wijbrans, I Radovanović, ... US Patent 8,452,866, 2013 | 66 | 2013 |
| Smart lighting using LED luminaries S Bhardwaj, T Özçelebi, J Lukkien 2010 8th IEEE International Conference on Pervasive Computing and …, 2010 | 54 | 2010 |
| End-to-end stereoscopic video streaming with content-adaptive rate and format control A Aksay, S Pehlivan, E Kurutepe, C Bilen, T Ozcelebi, GB Akar, ... Signal Processing: Image Communication 22 (2), 157-168, 2007 | 52 | 2007 |
| Millimeter wave sensing: A review of application pipelines and building blocks B van Berlo, A Elkelany, T Ozcelebi, N Meratnia IEEE Sensors Journal 21 (9), 10332-10368, 2021 | 49 | 2021 |
| Smart indoor solid state lighting based on a novel illumination model and implementation S Bhardwaj, T Ozcelebi, R Verhoeven, J Lukkien IEEE Transactions on Consumer Electronics 57 (4), 1612-1621, 2011 | 49 | 2011 |
| Deep reinforcement learning for load-balancing aware network control in IoT edge systems Q Liu, T Xia, L Cheng, M Van Eijk, T Ozcelebi, Y Mao IEEE Transactions on Parallel and Distributed Systems 33 (6), 1491-1502, 2021 | 47 | 2021 |
| Cross-layer optimized rate adaptation and scheduling for multiple-user wireless video streaming T Ozcelebi, MO Sunay, AM Tekalp, MR Civanlar IEEE Journal on Selected Areas in Communications 25 (4), 760-769, 2007 | 44 | 2007 |
| Cluster-based flow control in hybrid software-defined wireless sensor networks Q Liu, L Cheng, R Alves, T Ozcelebi, F Kuipers, G Xu, J Lukkien, S Chen Computer Networks 187, 107788, 2021 | 34 | 2021 |
| Deep reinforcement learning for IoT network dynamic clustering in edge computing Q Liu, L Cheng, T Ozcelebi, J Murphy, J Lukkien 2019 19th IEEE/ACM international symposium on cluster, Cloud and Grid …, 2019 | 32 | 2019 |
| Delay-distortion optimization for content-adaptive video streaming T Ozcelebi, AM Tekalp, MR Civanlar IEEE Transactions on Multimedia 9 (4), 826-836, 2007 | 29 | 2007 |
| Choosing your IoT programming framework: Architectural aspects LF Rahman, T Ozcelebi, JJ Lukkien 2016 IEEE 4th International Conference on Future Internet of Things and …, 2016 | 27 | 2016 |
| Synthesizing and reconstructing missing sensory modalities in behavioral context recognition A Saeed, T Ozcelebi, J Lukkien Sensors 18 (9), 2967, 2018 | 26 | 2018 |
| Model adaptation and personalization for physiological stress detection A Saeed, T Ozcelebi, J Lukkien, JBF van Erp, S Trajanovski 2018 IEEE 5th international conference on data science and advanced …, 2018 | 24 | 2018 |
