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Andrew D. Davis
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2020 – today
- 2023
- [j6]Linus Seelinger
, Vivian Cheng-Seelinger, Andrew D. Davis
UM-Bridge: Uncertainty quantification and modeling bridge. J. Open Source Softw. 8(83): 4748 (2023) - 2022
- [j5]Andrew D. Davis
Rate-optimal refinement strategies for local approximation MCMC. Stat. Comput. 32(4): 60 (2022) - [i2]Andrew D. Davis, Brendan A. West, Nathanael J. Frisch, Devin T. O'Connor, Matthew D. Parno:
ParticLS: Object-oriented software for discrete element methods and peridynamics. CoRR abs/2204.10855 (2022) - 2021
- [j4]Matthew D. Parno
MUQ: The MIT Uncertainty Quantification Library. J. Open Source Softw. 6(68): 3076 (2021) - [j3]Aras Kayvanrad, Stephen R. Arnott, Nathan William Churchill, Stefanie Hassel, Aditi Chemparathy, Fan Dong, Mojdeh Zamyadi, Tom Gee, Robert Bartha
Resting state fMRI scanner instabilities revealed by longitudinal phantom scans in a multi-center study. NeuroImage 237: 118197 (2021) - [i1]Andrew D. Davis, Dimitrios Giannakis:
Graph-theoretic algorithms for Kolmogorov operators: Approximating solutions and their gradients in elliptic and parabolic problems on manifolds. CoRR abs/2104.15124 (2021)
2010 – 2019
- 2019
- [j2]Nikita Nogovitsyn, Roberto Souza, Meghan Muller, Amelia Srajer, Stefanie Hassel, Stephen R. Arnott, Andrew D. Davis, Geoffrey B. C. Hall, Jacqueline K. Harris, Mojdeh Zamyadi, Paul D. Metzak, Zahinoor Ismail, Signe L. Bray, Catherine Lebel
Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants. NeuroImage 197: 589-597 (2019) - 2018
- [j1]Patrick R. Conrad, Andrew D. Davis, Youssef M. Marzouk, Natesh S. Pillai, Aaron Smith:
Parallel Local Approximation MCMC for Expensive Models. SIAM/ASA J. Uncertain. Quantification 6(1): 339-373 (2018)
Coauthor Index
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