Lauren J. Wong

18 papers B 1C 1Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	An Analysis of Radio Frequency Transfer Learning Behavior. Mach. Learn. Knowl. Extr. Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels
2024	J	`jnl`	Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation. Mach. Learn. Knowl. Extr. Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels
2024	J	`jnl`	Sensitivity Analysis of RFML Applications. IEEE Access Braeden P. Muller, Lauren J. Wong, Alan J. Michaels
2024	J	`jnl`	Transferring Learned Behaviors between Similar and Different Radios. Sensors Braeden P. Muller, Brennan E. Olds, Lauren J. Wong, Alan J. Michaels
2023	J	`jnl`	A Real-World Dataset Generator for Specific Emitter Identification. IEEE Access Braeden P. Muller, Lauren J. Wong, William H. Clark, Alan J. Michaels
2022	—	`conf`	Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis of Convolutional Neural Network-Derived Features. MILCOM J. B. Persons, Lauren J. Wong, Megan O. Moore, William C. Headley, Michael Fowler
2022	J	`jnl`	Quantifying Raw RF Dataset Similarity for Transfer Learning Applications. IEEE Open J. Commun. Soc. Lauren J. Wong, Sean McPherson, Alan J. Michaels
2022	J	`jnl`	Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey. Sensors Lauren J. Wong, Alan J. Michaels
2021	J	`jnl`	An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness. IEEE Open J. Commun. Soc. Lauren J. Wong, William H. Clark, Bryse Flowers, R. Michael Buehrer, William C. Headley, Alan J. Michaels
2021	—	`conf`	Explainable Neural Network-based Modulation Classification via Concept Bottleneck Models. CCWC Lauren J. Wong, Sean McPherson
2021	B	`conf`	Multinomial-Based Decision Synthesis of ML Classification Outputs. MDAI Alan J. Michaels, Lauren J. Wong
2020	C	`conf`	Resilience Improvements for Space-Based Radio Frequency Machine Learning. ISNCC Lauren J. Wong, Emily Altland, Joshua Detwiler, Paolo Fermin, Julia Mahon Kuzin, Nathan Moeliono, Abdelrahman Said Abdalla, William C. Headley, Alan J. Michaels
2019	—	`conf`	Developing RFML Intuition: An Automatic Modulation Classification Architecture Case Study. MILCOM William H. Clark, Vanessa Arndorfer, Brook Tamir, Daniel Kim, Cristian Vives, Hunter Morris, Lauren J. Wong, William C. Headley
2019	—	`conf`	Distributed Automatic Modulation Classification with Compressed Data. MILCOM Lauren J. Wong, Parker D. White, Michael Fowler, William C. Headley
2019	J	`jnl`	Groundwork for Neural Network-Based Specific Emitter Identification Authentication for IoT. IEEE Internet Things J. Jason M. McGinthy, Lauren J. Wong, Alan J. Michaels
2019	J	`jnl`	Specific Emitter Identification Using Convolutional Neural Network-Based IQ Imbalance Estimators. IEEE Access Lauren J. Wong, William C. Headley, Alan J. Michaels
2018	—	`conf`	Clustering Learned CNN Features from Raw I/Q Data for Emitter Identification. MILCOM Lauren J. Wong, William C. Headley, Seth Andrews, Ryan M. Gerdes, Alan J. Michaels
2018	—	`conf`	Estimation of transmitter I/Q imbalance using convolutional neural networks. CCWC Lauren J. Wong, William C. Headley, Alan J. Michaels