| A deep neural network for ssvep-based brain-computer interfaces OB Guney, M Oblokulov, H Ozkan IEEE transactions on biomedical engineering 69 (2), 932-944, 2021 | 59 | 2021 |
| Comparison of infrared and visible imagery for object tracking: Toward trackers with superior ir performance E Gundogdu, H Ozkan, H Seckin Demir, H Ergezer, E Akagunduz, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 47 | 2015 |
| Online anomaly detection under markov statistics with controllable type-i error H Ozkan, F Ozkan, SS Kozat IEEE Transactions on Signal Processing 64 (6), 1435-1445, 2015 | 42 | 2015 |
| Data imputation through the identification of local anomalies H Ozkan, OS Pelvan, SS Kozat IEEE Transactions on Neural Networks and Learning Systems 26 (10), 2381-2395, 2015 | 25 | 2015 |
| A deterministic analysis of an online convex mixture of experts algorithm H Ozkan, MA Donmez, S Tunc, SS Kozat IEEE transactions on neural networks and learning systems 26 (7), 1575-1580, 2014 | 25 | 2014 |
| Nonlinear regression via incremental decision trees ND Vanli, MO Sayin, M Mohaghegh, H Ozkan, SS Kozat Pattern Recognition 86, 1-13, 2019 | 24 | 2019 |
| Integrated linear and nonlinear digital cancellation for full duplex communication M Erdem, O Gurbuz, H Ozkan IEEE Wireless Communications 28 (1), 20-27, 2021 | 22 | 2021 |
| Online classification via self-organizing space partitioning H Ozkan, ND Vanli, SS Kozat IEEE Transactions on Signal Processing 64 (15), 3895-3908, 2016 | 22 | 2016 |
| Asymptotically optimal contextual bandit algorithm using hierarchical structures MM Neyshabouri, K Gokcesu, H Gokcesu, H Ozkan, SS Kozat IEEE transactions on neural networks and learning systems 30 (3), 923-937, 2018 | 20 | 2018 |
| Nonlinear digital self-interference cancellation for full duplex communication M Erdem, O Gurbuz, H Ozkan Physical Communication 35, 100698, 2019 | 17 | 2019 |
| Data driven frequency mapping for computationally scalable object detection F Porikli, H Ozkan 2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011 | 17 | 2011 |
| Method for pseudo-recurrent processing of data using a feedforward neural network architecture O Yilmaz, H Ozkan | 16 | 2014 |
| A novel and robust parameter training approach for HMMs under noisy and partial access to states H Ozkan, A Akman, SS Kozat Signal Processing 94, 490-497, 2014 | 16* | 2014 |
| Online anomaly detection with bandwidth optimized hierarchical kernel density estimators M Kerpicci, H Ozkan, SS Kozat IEEE Transactions on Neural Networks and Learning Systems 32 (9), 4253-4266, 2020 | 14 | 2020 |
| Acoustic direction finding using single acoustic vector sensor under high reverberation M Aktas, H Ozkan Digital Signal Processing 75, 56-70, 2018 | 14 | 2018 |
| Extending correlation filter-based visual tracking by tree-structured ensemble and spatial windowing E Gundogdu, H Ozkan, AA Alatan IEEE Transactions on Image Processing 26 (11), 5270-5283, 2017 | 14 | 2017 |
| A neural network approach for online nonlinear neyman-pearson classification B Can, H Ozkan IEEE Access 8, 210234-210250, 2020 | 12 | 2020 |
| Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training OB Guney, H Ozkan Journal of Neural Engineering 20 (1), 016013, 2023 | 9 | 2023 |
| Neural correlates of integration processes during dynamic face perception N Alp, H Ozkan Scientific Reports 12 (1), 118, 2022 | 8 | 2022 |
| Machine learning based smart steering for wireless mesh networks B Kuskonmaz, H Ozkan, O Gurbuz Ad Hoc Networks 88, 98-111, 2019 | 8 | 2019 |
