Scott Kuzdeba

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 20

Top Topics

Radio Frequency

Scene Classification

Reinforcement Learning

Intrinsic Manifold

Top Venues

Publications

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