Traceable Waveform Calibration With a Covariance-Based Uncertainty Analysis. - Paul D. Hale; Andrew M. Dienstfrey; Jack C. M. Wang; Dylan F. Williams; Arkadiusz Lewandowski; D. A. Keenan; Tracy S. Clement (IEEE Trans. Instrum. Meas., 2009)

A Statistical Study of De-Embedding Applied to Eye Diagram Analysis. - Paul D. Hale; Jeffrey A. Jargon; Chih-Ming Jack Wang; Brett Grossman; Mathew Claudius; José L. Torres; Andrew M. Dienstfrey; Dylan F. Williams (IEEE Trans. Instrum. Meas., 2012)

A New Metric for Latent Fingerprint Image Preprocessing. - Haiying Guan; Andrew M. Dienstfrey; Mary Frances Theofanos (CVPR Workshops, 2013)

Colored Noise and Regularization Parameter Selection for Waveform Metrology. - Andrew M. Dienstfrey; Paul D. Hale (IEEE Trans. Instrum. Meas., 2014)

Analysis, Comparison, and Assessment of Latent Fingerprint Image Preprocessing. - Haiying Guan; Paul Lee; Andrew M. Dienstfrey; Mary Theofanos; Curtis Lamp; Brian C. Stanton; Matthew T. Schwarz (CVPR Workshops, 2017)

Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing. - Zachary J. Grey; Susanna Mosleh; Jacob D. Rezac; Yao Ma 004; Jason B. Coder; Andrew M. Dienstfrey (ICC, 2021)

Bi-Criteria Radio Spectrum Sharing With Subspace-Based Pareto Tracing. - Zachary J. Grey; Susanna Mosleh; Jacob D. Rezac; Yao Ma 004; Jason B. Coder; Andrew M. Dienstfrey (IEEE Trans. Commun., 2022)

Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation. - Adam N. McCaughan; Bakhrom G. Oripov; Natesh Ganesh; Sae Woo Nam; Andrew M. Dienstfrey; Sonia M. Buckley (CoRR, 2023)

Device Modeling Bias in ReRAM-Based Neural Network Simulations. - Osama Yousuf; Imtiaz Hossen; Matthew W. Daniels; Martin Lueker-Boden; Andrew M. Dienstfrey; Gina C. Adam (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. - Osama Yousuf; Brian Hoskins; Karthick Ramu; Mitchell Fream; William A. Borders; Advait Madhavan; Matthew W. Daniels; Andrew M. Dienstfrey; Jabez J. McClelland; Martin Lueker-Boden; Gina C. Adam (CoRR, 2024)

Scaling of hardware-compatible perturbative training algorithms. - Bakhrom G. Oripov; Andrew M. Dienstfrey; Adam N. McCaughan; Sonia M. Buckley (CoRR, 2025)