Articles with public access mandates - Reid PriedhorskyLearn more
Not available anywhere: 1
Containers are good for more than serving cat pictures!? Lightweight HPC containers with Charliecloud
R Priedhorsky, TC Randles, ME Jennings
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2018
Mandates: US Department of Energy
Available somewhere: 20
Global disease monitoring and forecasting with Wikipedia
N Generous, G Fairchild, A Deshpande, SY Del Valle, R Priedhorsky
PLoS Comput Biol 10 (11), e1003892, 2014
Mandates: US Department of Energy, US National Institutes of Health
Forecasting the 2013–2014 influenza season using Wikipedia
KS Hickmann, G Fairchild, R Priedhorsky, N Generous, JM Hyman, ...
PLoS Comput Biol 11 (5), e1004239, 2015
Mandates: US Department of Energy, US National Institutes of Health
Charliecloud: Unprivileged containers for user-defined software stacks in HPC
R Priedhorsky, TC Randles
Mandates: US Department of Energy
Enhancing disease surveillance with novel data streams: challenges and opportunities
BM Althouse, SV Scarpino, LA Meyers, JW Ayers, M Bargsten, ...
EPJ Data Science 4 (1), 1-8, 2015
Mandates: US Department of Energy, US National Institutes of Health, UK Economic and …
Inferring the origin locations of tweets with quantitative confidence
R Priedhorsky, A Culotta, SY Del Valle
Proceedings of the 17th ACM conference on Computer supported cooperative …, 2014
Mandates: US National Institutes of Health
Epidemic forecasting is messier than weather forecasting: The role of human behavior and internet data streams in epidemic forecast
KR Moran, G Fairchild, N Generous, K Hickmann, D Osthus, ...
The Journal of Infectious Diseases 214 (suppl_4), S404-S408, 2016
Mandates: US Department of Energy, US National Institutes of Health
Dynamic Bayesian Influenza Forecasting in the United States with Hierarchical Discrepancy (with Discussion)
D Osthus, J Gattiker, R Priedhorsky, SY Del Valle
Bayesian Analysis 14 (1), 261-312, 2019
Mandates: US Department of Energy, US National Institutes of Health
HPC container runtimes have minimal or no performance impact
A Torrez, T Randles, R Priedhorsky
Proc. CANOPIE HPC Workshop@ SC, 2019
Mandates: US Department of Energy
Epidemiological data challenges: planning for a more robust future through data standards
G Fairchild, B Tasseff, H Khalsa, N Generous, AR Daughton, N Velappan, ...
Frontiers in Public Health 6, 414526, 2018
Mandates: US Department of Energy, US Department of Defense
Measuring Global Disease with Wikipedia: Success, Failure, and a Research Agenda
R Priedhorsky, D Osthus, AR Daughton, KR Moran, N Generous, ...
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative …, 2017
Mandates: US Department of Defense, US National Institutes of Health
Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited
D Osthus, AR Daughton, R Priedhorsky
PLOS Computational Biology 15 (2), e1006599, 2019
Mandates: US Department of Energy
An approach to and web-based tool for infectious disease outbreak intervention analysis
AR Daughton, N Generous, R Priedhorsky, A Deshpande
Scientific Reports 7 (1), 46076, 2017
Mandates: US Department of Energy, US Department of Defense
Understanding the Impact of Face Mask Usage Through Epidemic Simulation of Large Social Networks
SM Mniszewski, SY Del Valle, R Priedhorsky, JM Hyman, KS Hickman
Theories and Simulations of Complex Social Systems, 97-115, 2014
Mandates: US National Institutes of Health
Minimizing privilege for building HPC containers
R Priedhorsky, RS Canon, T Randles, AJ Younge
Proceedings of the International Conference for High Performance Computing …, 2021
Mandates: US Department of Energy
Estimating influenza incidence using search query deceptiveness and generalized ridge regression
R Priedhorsky, AR Daughton, M Barnard, F O’Connell, D Osthus
PLoS computational biology 15 (10), e1007165, 2019
Mandates: US Department of Energy
Analytics for Investigation of Disease Outbreaks: Web-Based Analytics Facilitating Situational Awareness in Unfolding Disease Outbreaks
N Velappan, AR Daughton, G Fairchild, WE Rosenberger, N Generous, ...
JMIR public health and surveillance 5 (1), e12032, 2019
Mandates: US Department of Energy, US Department of Defense
An extensible framework and database of infectious disease for biosurveillance
AR Daughton, R Priedhorsky, G Fairchild, N Generous, A Hengartner, ...
BMC Infectious Diseases 17 (1), 549, 2017
Mandates: US Department of Defense
HPC container runtime performance overhead: At first order, there is none
A Torrez, R Priedhorsky, T Randles
Mandates: US Department of Energy
Novel Use of Flu Surveillance Data: Evaluating Potential of Sentinel Populations for Early Detection of Influenza Outbreaks
AR Daughton, N Velappan, E Abeyta, R Priedhorsky, A Deshpande
PLOS ONE 11 (7), e0158330, 2016
Mandates: US Department of Energy
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