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Dave Osthus
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2020 – today
- 2024
- [j13]Dave Osthus
, Brian P. Weaver, Lauren J. Beesley, Kelly R. Moran, Madeline A. Stricklin, Eric J. Zirnstein, Paul H. Janzen, Daniel B. Reisenfeld:
Towards Improved Heliosphere Sky Map Estimation with Theseus. Technometrics 66(2): 208-226 (2024) - 2022
- [j12]Dave Osthus
:
Fast and accurate influenza forecasting in the United States with Inferno. PLoS Comput. Biol. 18(1) (2022) - [j11]Lauren J. Beesley
, Dave Osthus
, Sara Y. Del Valle
:
Addressing delayed case reporting in infectious disease forecast modeling. PLoS Comput. Biol. 18(6) (2022) - [j10]Michael S. Hamada
, Emily M. Casleton, Dave Osthus, Brian P. Weaver, Stefan H. Steiner:
Analyzing count data with measurement error. Qual. Reliab. Eng. Int. 38(5): 2345-2355 (2022) - 2021
- [j9]Graham Casey Gibson, Kelly R. Moran, Nicholas G. Reich
, Dave Osthus:
Improving probabilistic infectious disease forecasting through coherence. PLoS Comput. Biol. 17(1) (2021) - 2020
- [j8]Nishant Panda
, Dave Osthus, Gowri Srinivasan, Daniel O'Malley, Viet T. Chau, Diane Oyen
, Humberto Godinez:
Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling. J. Comput. Phys. 420: 109719 (2020) - [j7]Dave Osthus
, Jeffrey D. Hyman, Satish Karra
, Nishant Panda
, Gowri Srinivasan:
A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty. SIAM/ASA J. Uncertain. Quantification 8(2): 573-600 (2020)
2010 – 2019
- 2019
- [j6]Karsten Maurer, Dave Osthus, Adam Loy
:
A tale of four cities: exploring the soul of State College, Detroit, Milledgeville and Biloxi. Comput. Stat. 34(4): 1465-1487 (2019) - [j5]Dave Osthus
, Scott A. Vander Wiel, Nelson M. Hoffman
, Frederick J. Wysocki:
Prediction Uncertainties beyond the Range of Experience: A Case Study in Inertial Confinement Fusion Implosion Experiments. SIAM/ASA J. Uncertain. Quantification 7(2): 604-633 (2019) - [j4]Dave Osthus
, Ashlynn R. Daughton
, Reid Priedhorsky
:
Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited. PLoS Comput. Biol. 15(2) (2019) - [j3]Reid Priedhorsky
, Ashlynn R. Daughton, Martha Barnard
, Fiona O'Connell, Dave Osthus:
Estimating influenza incidence using search query deceptiveness and generalized ridge regression. PLoS Comput. Biol. 15(10) (2019) - [j2]Nicholas G. Reich
, Craig J. McGowan
, Teresa K. Yamana
, Abhinav Tushar
, Evan L. Ray
, Dave Osthus
, Sasikiran Kandula
, Logan C. Brooks, Willow Crawford-Crudell, Graham Casey Gibson, Evan Moore, Rebecca Silva, Matthew Biggerstaff
, Michael A. Johansson, Roni Rosenfeld
, Jeffrey Shaman
:
Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S. PLoS Comput. Biol. 15(11) (2019) - [i2]Reid Priedhorsky, Ashlynn R. Daughton, Martha Barnard, Fiona O'Connell, Dave Osthus:
Estimating influenza incidence using search query deceptiveness and generalized ridge regression. CoRR abs/1901.03677 (2019) - 2018
- [j1]Jeffrey D. Hyman
, Aric A. Hagberg, Dave Osthus
, Shriram Srinivasan, Hari S. Viswanathan, Gowri Srinivasan:
Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach. Multiscale Model. Simul. 16(4): 1948-1968 (2018) - 2017
- [c1]Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran, Nicholas Generous, Geoffrey Fairchild, Alina Deshpande
, Sara Y. Del Valle:
Measuring Global Disease with Wikipedia: Success, Failure, and a Research Agenda. CSCW 2017: 1812-1834 - [i1]Reid Priedhorsky, Dave Osthus, Ashlynn R. Daughton, Kelly R. Moran, Aron Culotta:
Deceptiveness of internet data for disease surveillance. CoRR abs/1711.06241 (2017)
Coauthor Index
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last updated on 2024-06-10 21:21 CEST by the dblp team
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