Scott Kuzdeba

25 papers Journal 1Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Conflict Detection in AI-RAN: Efficient Interaction Learning and Autonomous Graph Reconstruction.
CoRR
Joao F. Santos, Arshia Zolghadr, Scott Kuzdeba, Jacek Kibilda
2025 — conf
Radio Frequency Machine Learning Mixture of Experts.
MILCOM
Matthew Judah, Scott Kuzdeba
2024 — conf
Demonstrating Confidence in Radio Frequency Machine Learning Systems.
SiPS
Matthew Judah, Scott Kuzdeba
2024 — conf
Federated Learning of Things - Expanding the Heterogeneity in Federated Learning.
AAAI Spring Symposia
Scott Kuzdeba
2023 — conf
A Conditional Analysis of RF ML Latent Features.
MILCOM
Scott Kuzdeba, Josh Robinson
2022 — conf
Data-Centric Approaches to Radio Frequency Machine Learning.
MILCOM
Scott Kuzdeba, Josh Robinson
2022 — conf
FPGA Implementation of Radio Frequency Neural Networks.
CCWC
Amit Bhatia, Josh Robinson, Joseph M. Carmack, Scott Kuzdeba
2022 — conf
Systems View to Designing RF Fingerprinting for Real-World Operations.
WiseML@WiSec
Scott Kuzdeba, Josh Robinson, Joseph M. Carmack, David Couto
2021 — conf
Multi-Agent Reinforcement Learning Approaches to RF Fingerprint Enhancement.
WiseML@WiSec
Joseph M. Carmack, Steve Schmidt, Scott Kuzdeba
2021 — conf
Neural Network Generative Models for Radio Frequency Data.
UEMCON
Joseph M. Carmack, Amit Bhatia, Josh Robinson, John Majewski, Scott Kuzdeba
2021 — conf
Neural Network Signal Processing for LTE Receiver Application.
DySPAN
Josh Robinson, Joseph M. Carmack, Amit Bhatia, John Majewski, Scott Kuzdeba, Joseph Farkas, Brandon Hombs, Thomas Koch
2021 — conf
Novel device detection using RF fingerprints.
CCWC
Josh Robinson, Scott Kuzdeba
2021 — conf
RF Fingerprinting with Dilated Causal Convolutions-An Inherently Explainable Architecture.
ACSCC
Scott Kuzdeba, Joseph M. Carmack, Josh Robinson
2021 — conf
RiftNeXt™: Explainable Deep Neural RF Scene Classification.
WiseML@WiSec
Steve Schmidt, James Stankowicz, Joseph M. Carmack, Scott Kuzdeba
2021 — conf
RiftNet Reconstruction Model for Radio Frequency Domain Waveform Representation and Synthesis.
AIIoT
Joseph M. Carmack, Scott Kuzdeba
2021 — conf
RiftNet: Radio Frequency Classification for Large Populations.
CCNC
Josh Robinson, Scott Kuzdeba
2021 — conf
Transfer Learning with Radio Frequency Signals.
CCNC
Scott Kuzdeba, Josh Robinson, Joseph M. Carmack
2021 — conf
Unsupervised Emitter Clustering through Deep Manifold Learning.
CCWC
James Stankowicz, Scott Kuzdeba
2020 — conf
Dilated Causal Convolutional Model For RF Fingerprinting.
CCWC
Josh Robinson, Scott Kuzdeba, James Stankowicz, Joseph M. Carmack
2020 — conf
RF Waveform Synthesis Guided by Deep Reinforcement Learning.
WIFS
T. Scott Brandes, Scott Kuzdeba, Jessee McClelland, Neil Bomberger, Andrew Radlbeck
2019 — conf
Kalman Filter Changepoint Detection and Trend Characterization.
MLSP
Scott Kuzdeba, Brandon Hombs, Jeremy D. Greenlee, Frank H. Guenther
2018 — conf
Performance Metrics for Cognitive Electronic Warfare - Electronic Support Measures.
MILCOM
Scott Kuzdeba, Andrew Radlbeck, Matthew Anderson
2017 — conf
Modulation recognition using hierarchical deep neural networks.
DySPAN
Krishna Karra, Scott Kuzdeba, Josh Petersen
2013 — conf
Prototype implementation of a visual communication system employing video imagery.
CCNC
Scott Kuzdeba, Alexander M. Wyglinski, Brandon Hombs
2011 — conf
Impact of power spread constraints on a multiuser detection enabled ad hoc network.
MILCOM
Scott Kuzdeba, Joseph Farkas, Brandon Hombs