Tanir Ozcelebi
Tanir Ozcelebi
Associate Professor of Computer Science, Eindhoven University of Technology
Verified email at - Homepage
Cited by
Cited by
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
Client intelligence for adaptive streaming solutions
D Jarnikov, T ÷zÁelebi
Signal Processing: Image Communication 26 (7), 378-389, 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
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
Towards federated unsupervised representation learning
B van Berlo, A Saeed, T Ozcelebi
Proceedings of the third ACM international workshop on edge systems†…, 2020
Understanding IoT systems: a life cycle approach
LF Rahman, T Ozcelebi, J Lukkien
Procedia computer science 130, 1057-1062, 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
Network resource management
M De Boer, H Carr, W Wedershoven, K Wijbrans, I Radovanović, ...
US Patent 8,452,866, 2013
Smart lighting using LED luminaries
S Bhardwaj, T ÷zÁelebi, J Lukkien
2010 8th IEEE International Conference on Pervasive Computing and†…, 2010
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
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
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
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
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
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
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
Delay-distortion optimization for content-adaptive video streaming
T Ozcelebi, AM Tekalp, MR Civanlar
IEEE Transactions on Multimedia 9 (4), 826-836, 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
Synthesizing and reconstructing missing sensory modalities in behavioral context recognition
A Saeed, T Ozcelebi, J Lukkien
Sensors 18 (9), 2967, 2018
Privacy-preserving speech emotion recognition through semi-supervised federated learning
V Tsouvalas, T Ozcelebi, N Meratnia
2022 IEEE International Conference on Pervasive Computing and Communications†…, 2022
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