Kuzdeba, Scott
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1

A Conditional Analysis of RF ML Latent Features:

, In: MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM),
Kuzdeba, Scott ; Robinson, Josh - p. 931-936 , 2023
 
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2

FPGA Implementation of Radio Frequency Neural Networks:

, In: 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC),
Bhatia, Amit ; Robinson, Josh ; Carmack, Joseph. - p. 0613-0618 , 2022
 
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3

Data-Centric Approaches to Radio Frequency Machine Learning:

, In: MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM),
Kuzdeba, Scott ; Robinson, Josh - p. 362-367 , 2022
 
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4

Systems View to Designing RF Fingerprinting for Real-World ..:

, In: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning,
 
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5

RiftNeXt™ : Explainable Deep Neural RF Scene Classificat..:

, In: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning,
 
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6

RF Fingerprinting with Dilated Causal Convolutions–An Inher..:

, In: 2021 55th Asilomar Conference on Signals, Systems, and Computers,
 
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7

RiftNet Reconstruction Model for Radio Frequency Domain Wav..:

, In: 2021 IEEE World AI IoT Congress (AIIoT),
Carmack, Joseph M. ; Kuzdeba, Scott - p. 0303-0312 , 2021
 
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8

Multi-Agent Reinforcement Learning Approaches to RF Fingerp..:

, In: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning,
 
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9

Dilated Causal Convolutional Model For RF Fingerprinting:

, In: 2020 10th Annual Computing and Communication Workshop and Conference (CCWC),
Robinson, Josh ; Kuzdeba, Scott ; Stankowicz, James. - p. 0157-0162 , 2020
 
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10

Bayesian Program Learning for Modeling and Classification o..:

, In: 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON),
Bomberger, Neil ; Kuzdeba, Scott ; Brandes, T. Scott.. - p. 0062-0067 , 2020
 
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11

Kalman Filter Changepoint Detection and Trend Characterizat..:

, In: 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP),
 
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