Scott Kuzdeba

According to our database1, Scott Kuzdeba authored at least 22 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Federated Learning of Things - Expanding the Heterogeneity in Federated Learning.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023
A Conditional Analysis of RF ML Latent Features.
Proceedings of the IEEE Military Communications Conference, 2023

2022
Systems View to Designing RF Fingerprinting for Real-World Operations.
Proceedings of the WiseML@WiSec 2022: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022

Data-Centric Approaches to Radio Frequency Machine Learning.
Proceedings of the IEEE Military Communications Conference, 2022

FPGA Implementation of Radio Frequency Neural Networks.
Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

2021
RiftNeXt™: Explainable Deep Neural RF Scene Classification.
Proceedings of the WiseML@WiSec 2021: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 2021

Multi-Agent Reinforcement Learning Approaches to RF Fingerprint Enhancement.
Proceedings of the WiseML@WiSec 2021: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 2021

Neural Network Generative Models for Radio Frequency Data.
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

Neural Network Signal Processing for LTE Receiver Application.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021

Unsupervised Emitter Clustering through Deep Manifold Learning.
Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

Novel device detection using RF fingerprints.
Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

RiftNet: Radio Frequency Classification for Large Populations.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

Transfer Learning with Radio Frequency Signals.
Proceedings of the 18th IEEE Annual Consumer Communications & Networking Conference, 2021

RiftNet Reconstruction Model for Radio Frequency Domain Waveform Representation and Synthesis.
Proceedings of the IEEE World AI IoT Congress, 2021

RF Fingerprinting with Dilated Causal Convolutions-An Inherently Explainable Architecture.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
RF Waveform Synthesis Guided by Deep Reinforcement Learning.
Proceedings of the 12th IEEE International Workshop on Information Forensics and Security, 2020

Dilated Causal Convolutional Model For RF Fingerprinting.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020

2019
Kalman Filter Changepoint Detection and Trend Characterization.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2018
Performance Metrics for Cognitive Electronic Warfare - Electronic Support Measures.
Proceedings of the 2018 IEEE Military Communications Conference, 2018

2017
Modulation recognition using hierarchical deep neural networks.
Proceedings of the 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, 2017

2013
Prototype implementation of a visual communication system employing video imagery.
Proceedings of the 10th IEEE Consumer Communications and Networking Conference, 2013

2011
Impact of power spread constraints on a multiuser detection enabled ad hoc network.
Proceedings of the MILCOM 2011, 2011


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