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Journal Articles
- 2023
[j4]Osama Yousuf
, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam:
Device Modeling Bias in ReRAM-Based Neural Network Simulations. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 382-394 (2023)- 2014
- [j3]Andrew Dienstfrey, Paul D. Hale:
Colored Noise and Regularization Parameter Selection for Waveform Metrology. IEEE Trans. Instrum. Meas. 63(7): 1769-1778 (2014) - 2012
- [j2]Paul D. Hale, Jeffrey A. Jargon, Chih-Ming Jack Wang, Brett Grossman, Mathew Claudius, José L. Torres, Andrew Dienstfrey, Dylan F. Williams:
A Statistical Study of De-Embedding Applied to Eye Diagram Analysis. IEEE Trans. Instrum. Meas. 61(2): 475-488 (2012) - 2009
- [j1]Paul D. Hale, Andrew Dienstfrey, Jack C. M. Wang, Dylan F. Williams, Arkadiusz Lewandowski, D. A. Keenan, Tracy S. Clement:
Traceable Waveform Calibration With a Covariance-Based Uncertainty Analysis. IEEE Trans. Instrum. Meas. 58(10): 3554-3568 (2009)
Conference and Workshop Papers
- 2017
- [c2]Haiying Guan, Paul Lee, Andrew Dienstfrey, Mary Theofanos, Curtis Lamp, Brian C. Stanton, Matthew T. Schwarz:
Analysis, Comparison, and Assessment of Latent Fingerprint Image Preprocessing. CVPR Workshops 2017: 628-635 - 2013
- [c1]Haiying Guan, Andrew Dienstfrey, Mary Frances Theofanos:
A New Metric for Latent Fingerprint Image Preprocessing. CVPR Workshops 2013: 84-91
Editorship
- 2012
- [e1]Andrew Dienstfrey, Ronald F. Boisvert:
Uncertainty Quantification in Scientific Computing - 10th IFIP WG 2.5 Working Conference, WoCoUQ 2011, Boulder, CO, USA, August 1-4, 2011, Revised Selected Papers. IFIP Advances in Information and Communication Technology 377, Springer 2012, ISBN 978-3-642-32676-9 [contents]
Informal and Other Publications
- 2024
- [i3]Osama Yousuf, Brian Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam:
Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. CoRR abs/2404.15621 (2024) - 2023
- [i2]Adam N. McCaughan, Bakhrom G. Oripov, Natesh Ganesh, Sae Woo Nam, Andrew Dienstfrey, Sonia M. Buckley:
Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation. CoRR abs/2303.03986 (2023) - 2022
- [i1]Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam:
Device Modeling Bias in ReRAM-based Neural Network Simulations. CoRR abs/2211.15925 (2022)
Coauthor Index
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