Enhanced Automatic Modulation Classification using Deep Convolutional Latent Space Pooling. - Clayton A. Harper; Lauren Lyons; Mitchell A. Thornton; Eric C. Larson (ACSSC, 2020)

SNR-Boosted Automatic Modulation Classification. - Clayton A. Harper; Aviraj Sinha; Mitchell A. Thornton; Eric C. Larson (ACSCC, 2021)

Impacts of Synthetically Generated Data on Trackformer-based Multi-Object Tracking. - Matthew Lee 017; Clayton A. Harper; William Flinchbaugh; Eric C. Larson; Mitchell A. Thornton (AIPR, 2023)

Automatic Modulation Classification with Deep Neural Networks. - Clayton A. Harper; Mitchell A. Thornton; Eric C. Larson (CoRR, 2023)

Learnable Statistical Moments Pooling for Automatic Modulation Classification. - Clayton A. Harper; Mitchell A. Thornton; Eric C. Larson (ICASSP, 2024)

A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks. - Jessie M. Henderson; Elena R. Henderson; Clayton A. Harper; Hiva Shahoei; William V. Oxford; Eric C. Larson; Duncan L. MacFarlane; Mitchell A. Thornton (ISMVL, 2024)

Scaling Continuous Kernels with Sparse Fourier Domain Learning. - Clayton A. Harper; Luke Wood; Peter Gerstoft; Eric C. Larson (CoRR, 2024)