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Meghan A. Galiardi

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Journal Articles

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2019
[j1]
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  - journals/tissec/OutkinEGWVHHW19
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  - https://dblp.org/rec/journals/tissec/OutkinEGWVHHW19
Alexander V. Outkin, Brandon K. Eames, Meghan A. Galiardi, Sarah Walsh, Eric D. Vugrin, Byron Heersink, Jacob A. Hobbs, Gregory D. Wyss:
GPLADD: Quantifying Trust in Government and Commercial Systems A Game-Theoretic Approach. ACM Trans. Priv. Secur. 22(3): 18:1-18:27 (2019)

Conference and Workshop Papers

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2019
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  - conf/acssc/RedmanCWQGDLB19
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Brian J. Redman, Daniel Calzada, Jamie Wingo, Tu-Thach Quach, Meghan A. Galiardi, Amber L. Dagel, Charles F. LaCasse, Gabriel C. Birch:
Optimizing a Compressive Imager for Machine Learning Tasks. ACSSC 2019: 1000-1004
2018
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Meghan A. Galiardi, Stephen J. Verzi, Gabriel C. Birch, Jaclynn J. Stubbs, Bryana L. Woo, Camron G. Kouhestani:
Physical Security Assessment Using Temporal Machine Learning. ICCST 2018: 1-5
2017
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  - conf/ijcnn/VerziVVGJA17
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Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan A. Galiardi, Conrad D. James, James B. Aimone:
Optimization-based computation with spiking neurons. IJCNN 2017: 2015-2022

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