| Automated vulnerability detection in source code using deep representation learning R Russell, L Kim, L Hamilton, T Lazovich, J Harer, O Ozdemir, ... 2018 17th IEEE international conference on machine learning and applications …, 2018 | 733 | 2018 |
| A 3D probabilistic deep learning system for detection and diagnosis of lung cancer using low-dose CT scans O Ozdemir, RL Russell, AA Berlin IEEE transactions on medical imaging 39 (5), 1419-1429, 2019 | 245 | 2019 |
| Automated software vulnerability detection with machine learning JA Harer, LY Kim, RL Russell, O Ozdemir, LR Kosta, A Rangamani, ... arXiv preprint arXiv:1803.04497, 2018 | 230 | 2018 |
| Channel aware target localization with quantized data in wireless sensor networks O Ozdemir, R Niu, PK Varshney IEEE Transactions on Signal Processing 57 (3), 1190-1202, 2008 | 142 | 2008 |
| Localization in wireless sensor networks: Byzantines and mitigation techniques A Vempaty, O Ozdemir, K Agrawal, H Chen, PK Varshney IEEE Transactions on Signal Processing 61 (6), 1495-1508, 2012 | 127 | 2012 |
| Learning to repair software vulnerabilities with generative adversarial networks J Harer, O Ozdemir, T Lazovich, C Reale, R Russell, L Kim Advances in neural information processing systems 31, 2018 | 98 | 2018 |
| Tracking in wireless sensor networks using particle filtering: Physical layer considerations O Ozdemir, R Niu, PK Varshney IEEE Transactions on Signal Processing 57 (5), 1987-1999, 2009 | 94 | 2009 |
| New conditional posterior Cramér-Rao lower bounds for nonlinear sequential Bayesian estimation Y Zheng, O Ozdemir, R Niu, PK Varshney IEEE transactions on signal processing 60 (10), 5549-5556, 2012 | 65 | 2012 |
| Hybrid maximum likelihood modulation classification using multiple radios O Ozdemir, R Li, PK Varshney IEEE Communications Letters 17 (10), 1889-1892, 2013 | 64 | 2013 |
| System and method for quantifying uncertainty in reasoning about 2d and 3d spatial features with a computer machine learning architecture O Ozdemir, B Woodward, AA Berlin US Patent App. 15/790,332, 2019 | 60 | 2019 |
| Propagating uncertainty in multi-stage bayesian convolutional neural networks with application to pulmonary nodule detection O Ozdemir, B Woodward, AA Berlin arXiv preprint arXiv:1712.00497, 2017 | 50 | 2017 |
| Enhanced dynamic spectrum access in multiband cognitive radio networks via optimized resource allocation P Bhardwaj, A Panwar, O Ozdemir, E Masazade, I Kasperovich, AL Drozd, ... IEEE Transactions on Wireless Communications 15 (12), 8093-8106, 2016 | 44 | 2016 |
| Asynchronous linear modulation classification with multiple sensors via generalized EM algorithm O Ozdemir, T Wimalajeewa, B Dulek, PK Varshney, W Su IEEE Transactions on Wireless Communications 14 (11), 6389-6400, 2015 | 44 | 2015 |
| Distributed maximum likelihood classification of linear modulations over nonidentical flat block-fading Gaussian channels B Dulek, O Ozdemir, PK Varshney, W Su IEEE Transactions on Wireless Communications 14 (2), 724-737, 2014 | 39 | 2014 |
| Copula based classifier fusion under statistical dependence O Ozdemir, TG Allen, S Choi, T Wimalajeewa, PK Varshney IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (11), 2740 …, 2017 | 36 | 2017 |
| Narrowband interference resilient receiver design for unknown UWB signal detection O Ozdemir, Z Sahinoglu, J Zhang 2008 IEEE International Conference on Communications, 785-789, 2008 | 22 | 2008 |
| Permutation trellis coded multi-level FSK signaling to mitigate primary user interference in cognitive radio networks R El-Bardan, E Masazade, O Ozdemir, YS Han, PK Varshney IEEE Transactions on Communications 64 (1), 104-116, 2015 | 21 | 2015 |
| Adaptive local quantizer design for tracking in a wireless sensor network O Ozdemir, R Niu, PK Varshney 2008 42nd Asilomar Conference on Signals, Systems and Computers, 1202-1206, 2008 | 18 | 2008 |
| A novel approach to dictionary construction for automatic modulation classification B Dulek, O Ozdemir, PK Varshney, W Su Journal of the Franklin Institute 351 (5), 2991-3012, 2014 | 14 | 2014 |
| Asynchronous hybrid maximum likelihood classification of linear modulations O Ozdemir, PK Varshney, W Su 2013 IEEE Global Communications Conference (GLOBECOM), 3235-3240, 2013 | 13 | 2013 |
Ruixin NiuElectrical and Computer Engineering, Virginia Commonwealth University在 vcu.edu 的电子邮件经过验证
