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Lauren J. Wong
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2020 – today
- 2024
- [j10]Braeden P. Muller
, Lauren J. Wong
Sensitivity Analysis of RFML Applications. IEEE Access 12: 80327-80344 (2024) - [j9]Lauren J. Wong
An Analysis of Radio Frequency Transfer Learning Behavior. Mach. Learn. Knowl. Extr. 6(2): 1210-1242 (2024) - [j8]Lauren J. Wong
Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation. Mach. Learn. Knowl. Extr. 6(3): 1699-1719 (2024) - [j7]Braeden P. Muller
Transferring Learned Behaviors between Similar and Different Radios. Sensors 24(11): 3574 (2024) - 2023
- [j6]Braeden P. Muller
A Real-World Dataset Generator for Specific Emitter Identification. IEEE Access 11: 110023-110038 (2023) - 2022
- [j5]Lauren J. Wong
Quantifying Raw RF Dataset Similarity for Transfer Learning Applications. IEEE Open J. Commun. Soc. 3: 2076-2086 (2022) - [j4]Lauren J. Wong
Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey. Sensors 22(4): 1416 (2022) - [c8]J. B. Persons, Lauren J. Wong, Megan O. Moore, William C. Headley, Michael Fowler:
Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis of Convolutional Neural Network-Derived Features. MILCOM 2022: 304-310 - [d1]Lauren J. Wong, Sean McPherson, Alan J. Michaels:
Transfer Learning for RF Domain Adaptation - Synthetic Dataset. IEEE DataPort, 2022 - 2021
- [j3]Lauren J. Wong
An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness. IEEE Open J. Commun. Soc. 2: 2243-2264 (2021) - [c7]Lauren J. Wong, Sean McPherson:
Explainable Neural Network-based Modulation Classification via Concept Bottleneck Models. CCWC 2021: 191-196 - [c6]Alan J. Michaels
Multinomial-Based Decision Synthesis of ML Classification Outputs. MDAI 2021: 156-167 - 2020
- [c5]Lauren J. Wong, Emily Altland, Joshua Detwiler, Paolo Fermin, Julia Mahon Kuzin, Nathan Moeliono, Abdelrahman Said Abdalla, William C. Headley, Alan J. Michaels:
Resilience Improvements for Space-Based Radio Frequency Machine Learning. ISNCC 2020: 1-5
2010 – 2019
- 2019
- [j2]Lauren J. Wong
Specific Emitter Identification Using Convolutional Neural Network-Based IQ Imbalance Estimators. IEEE Access 7: 33544-33555 (2019) - [j1]Jason M. McGinthy
Groundwork for Neural Network-Based Specific Emitter Identification Authentication for IoT. IEEE Internet Things J. 6(4): 6429-6440 (2019) - [c4]William H. Clark, Vanessa Arndorfer, Brook Tamir, Daniel Kim, Cristian Vives, Hunter Morris, Lauren J. Wong, William C. Headley:
Developing RFML Intuition: An Automatic Modulation Classification Architecture Case Study. MILCOM 2019: 292-298 - [c3]Lauren J. Wong, Parker D. White, Michael Fowler, William C. Headley:
Distributed Automatic Modulation Classification with Compressed Data. MILCOM 2019: 299-304 - 2018
- [c2]Lauren J. Wong, William C. Headley, Alan J. Michaels:
Estimation of transmitter I/Q imbalance using convolutional neural networks. CCWC 2018: 948-955 - [c1]Lauren J. Wong, William C. Headley, Seth Andrews, Ryan M. Gerdes, Alan J. Michaels:
Clustering Learned CNN Features from Raw I/Q Data for Emitter Identification. MILCOM 2018: 26-33
Coauthor Index
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