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Tina L. Burns

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2020 – today

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2022
[c3]
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Tina L. Burns, Chuxu Song, Ivan Seskar, Jorge Ortiz, Richard P. Martin:
A Simplified Machine Learning Approach to Classifying Individual Websites. GLOBECOM 2022: 6109-6114
2021
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Tina L. Burns, Richard P. Martin, Jorge Ortiz, Ivan Seskar, Dragoslav Stojadinovic, Ryan Davis, Miguel Camelo:
Synthetic Wireless Signal Generation for Neural Network Algorithms. CSCN 2021: 174-179
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Tina L. Burns, Richard P. Martin, Jorge Ortiz, Ivan Seskar, Dragoslav Stojadinovic, Ryan Davis, Miguel Camelo:
Evaluating Deep Learning Networks for Modulation Recognition. DySPAN 2021: 25-32

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