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Onur Ozdemir
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2020 – today
- 2020
- [j14]Onur Ozdemir
, Rebecca L. Russell
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans. IEEE Trans. Medical Imaging 39(5): 1419-1429 (2020)
2010 – 2019
- 2019
- [i10]Onur Ozdemir, Rebecca L. Russell, Andrew A. Berlin:
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans. CoRR abs/1902.03233 (2019) - 2018
- [j13]Onur Ozdemir
Copula Based Classifier Fusion Under Statistical Dependence. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2740-2748 (2018) - [c17]Rebecca L. Russell
Automated Vulnerability Detection in Source Code Using Deep Representation Learning. ICMLA 2018: 757-762 - [c16]Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Peter Chin:
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. NeurIPS 2018: 7944-7954 - [i9]Jacob A. Harer, Louis Y. Kim, Rebecca L. Russell, Onur Ozdemir, Leonard R. Kosta, Akshay Rangamani, Lei H. Hamilton, Gabriel I. Centeno, Jonathan R. Key, Paul M. Ellingwood, Marc W. McConley, Jeffrey M. Opper, Peter Chin, Tomo Lazovich:
Automated software vulnerability detection with machine learning. CoRR abs/1803.04497 (2018) - [i8]Christopher A. George, Onur Ozdemir, Connie Fournelle, Kendra E. Moore:
The Role-Relevance Model for Enhanced Semantic Targeting in Unstructured Text. CoRR abs/1804.07447 (2018) - [i7]Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Peter Chin:
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks. CoRR abs/1805.07475 (2018) - [i6]Rebecca L. Russell, Louis Y. Kim, Lei H. Hamilton, Tomo Lazovich, Jacob A. Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley:
Automated Vulnerability Detection in Source Code Using Deep Representation Learning. CoRR abs/1807.04320 (2018) - 2017
- [c15]Onur Ozdemir, Lakshmi Narasimhan Theagarajan, Mohit Agarwal, Thakshila Wimalajeewa, Pramod K. Varshney:
An MCMC Approach to Multisensor Linear Modulation Classification. WCNC 2017: 1-6 - [i5]Onur Ozdemir, Benjamin Woodward, Andrew A. Berlin:
Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection. CoRR abs/1712.00497 (2017) - 2016
- [j12]Raghed El-Bardan, Engin Masazade
Permutation Trellis Coded Multi-Level FSK Signaling to Mitigate Primary User Interference in Cognitive Radio Networks. IEEE Trans. Commun. 64(1): 104-116 (2016) - [j11]Piyush Bhardwaj, Ankita Panwar, Onur Ozdemir, Engin Masazade
Enhanced Dynamic Spectrum Access in Multiband Cognitive Radio Networks via Optimized Resource Allocation. IEEE Trans. Wirel. Commun. 15(12): 8093-8106 (2016) - 2015
- [j10]Berkan Dulek, Onur Ozdemir, Pramod K. Varshney, Wei Su:
Distributed Maximum Likelihood Classification of Linear Modulations Over Nonidentical Flat Block-Fading Gaussian Channels. IEEE Trans. Wirel. Commun. 14(2): 724-737 (2015) - [j9]Onur Ozdemir, Thakshila Wimalajeewa, Berkan Dulek, Pramod K. Varshney, Wei Su:
Asynchronous Linear Modulation Classification With Multiple Sensors via Generalized EM Algorithm. IEEE Trans. Wirel. Commun. 14(11): 6389-6400 (2015) - 2014
- [j8]Berkan Dulek
A novel approach to dictionary construction for automatic modulation classification. J. Frankl. Inst. 351(5): 2991-3012 (2014) - [j7]Berkan Dulek, Onur Ozdemir, Pramod K. Varshney, Wei Su:
Modulation Discovery Over Arbitrary Additive Noise Channels Based on the Richardson-Lucy Algorithm. IEEE Signal Process. Lett. 21(6): 756-760 (2014) - [i4]Raghed El-Bardan, Engin Masazade, Onur Ozdemir, Yunghsiang S. Han, Pramod K. Varshney:
Permutation Trellis Coded Multi-level FSK Signaling to Mitigate Primary User Interference in Cognitive Radio Networks. CoRR abs/1408.0259 (2014) - [i3]Onur Ozdemir, Thakshila Wimalajeewa, Berkan Dulek, Pramod K. Varshney, Wei Su:
Hybrid Maximum Likelihood Based Linear Modulation Classification with Multiple Sensors via Generalized EM Algorithm. CoRR abs/1409.8370 (2014) - 2013
- [j6]Onur Ozdemir, Ruoyu Li
Hybrid Maximum Likelihood Modulation Classification Using Multiple Radios. IEEE Commun. Lett. 17(10): 1889-1892 (2013) - [j5]Aditya Vempaty, Onur Ozdemir, Keshav Agrawal, Hao Chen, Pramod K. Varshney:
Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques. IEEE Trans. Signal Process. 61(6): 1495-1508 (2013) - [c14]Aditya Vempaty, Onur Ozdemir, Pramod K. Varshney:
Target tracking in Wireless Sensor Networks in the presence of Byzantines. FUSION 2013: 968-973 - [c13]Onur Ozdemir, Pramod K. Varshney, Wei Su:
Asynchronous hybrid maximum likelihood classification of linear modulations. GLOBECOM 2013: 3235-3240 - [i2]Onur Ozdemir, Ruoyu Li, Pramod K. Varshney:
Hybrid Maximum Likelihood Modulation Classification Using Multiple Radios. CoRR abs/1303.0775 (2013) - 2012
- [j4]Kanke Gao, Onur Ozdemir, Dimitrios A. Pados, Stella N. Batalama, Tommaso Melodia
Cognitive Code-Division Channelization with Admission Control. J. Comput. Networks Commun. 2012: 510942:1-510942:9 (2012) - [j3]Yujiao Zheng, Onur Ozdemir, Ruixin Niu, Pramod K. Varshney:
New Conditional Posterior Cramér-Rao Lower Bounds for Nonlinear Sequential Bayesian Estimation. IEEE Trans. Signal Process. 60(10): 5549-5556 (2012) - [c12]Sandeep Gogineni, Onur Ozdemir, Engin Masazade
A cross layer routing protocol for cognitive radio networks using channel activity tracking. ACSCC 2012: 1079-1083 - [c11]Ankita Panwar, Piyush Bhardwaj, Onur Ozdemir, Engin Masazade
On optimization algorithms for the design of multiband cognitive radio networks. CISS 2012: 1-6 - [c10]Aditya Vempaty, Onur Ozdemir, Pramod K. Varshney:
Mitigation of Byzantine attacks for target location estimation in wireless sensor networks. CISS 2012: 1-6 - [c9]Raghed El-Bardan, Engin Masazade
Performance of Permutation Trellis Codes in Cognitive Radio Networks. Sarnoff Symposium 2012: 1-6 - [c8]Kanke Gao, Onur Ozdemir, Dimitrios A. Pados, Stella N. Batalama, Tommaso Melodia
Joint admission control and resource allocation in cognitive code-division networks. SPAWC 2012: 149-153 - [i1]Onur Ozdemir, Pramod K. Varshney, Wei Su, Andrew L. Drozd:
Asymptotic Properties of Likelihood Based Linear Modulation Classification Systems. CoRR abs/1211.6631 (2012) - 2011
- [c7]Onur Ozdemir, Andrew L. Drozd, Engin Masazade
Successful Communications in a Cognitive Radio Network with Transmission Hyperspace. GLOBECOM 2011: 1-6 - [c6]Onur Ozdemir, Ruixin Niu, Pramod K. Varshney, Andrew L. Drozd:
Modified Bayesian Cramé R-rao lower bound for nonlinear tracking. ICASSP 2011: 3972-3975 - 2010
- [c5]Onur Ozdemir, Ruixin Niu, Pramod K. Varshney:
Dynamic bit allocation for target tracking in sensor networks with quantized measurements. ICASSP 2010: 2906-2909
2000 – 2009
- 2009
- [j2]Onur Ozdemir, Ruixin Niu, Pramod K. Varshney:
Channel Aware Target Localization With Quantized Data in Wireless Sensor Networks. IEEE Trans. Signal Process. 57(3): 1190-1202 (2009) - [j1]Onur Ozdemir, Ruixin Niu, Pramod K. Varshney:
Tracking in wireless sensor networks using particle filtering: physical layer considerations. IEEE Trans. Signal Process. 57(5): 1987-1999 (2009) - [c4]Onur Ozdemir, Ruixin Niu, Pramod K. Varshney:
Distributed estimation using binary data transmitted over fading channels. ICASSP 2009: 2069-2072 - 2008
- [c3]Onur Ozdemir, Ruixin Niu, Pramod K. Varshney:
Adaptive local quantizer design for tracking in a wireless sensor network. ACSCC 2008: 1202-1206 - [c2]Onur Ozdemir, Zafer Sahinoglu, Jinyun Zhang:
Narrowband Interference Resilient Receiver Design for Unknown UWB Signal Detection. ICC 2008: 785-789 - 2007
- [c1]Onur Ozdemir, Ruixin Niu, Pramod K. Varshney:
Channel aware target localization in wireless sensor networks. FUSION 2007: 1-7
Coauthor Index
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