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2020 – today
- 2022
[j5]Michal Ben-Nun
, Pete Riley, James Turtle, Steven Riley:
Consistent pattern of epidemic slowing across many geographies led to longer, flatter initial waves of the COVID-19 pandemic. PLoS Comput. Biol. 18(8) (2022)- 2021
- [j4]James Turtle, Pete Riley, Michal Ben-Nun, Steven Riley:
Accurate influenza forecasts using type-specific incidence data for small geographic units. PLoS Comput. Biol. 17(7) (2021)
2010 – 2019
- 2019
- [j3]Michal Ben-Nun, Pete Riley, James Turtle, David P. Bacon, Steven Riley:
Forecasting national and regional influenza-like illness for the USA. PLoS Comput. Biol. 15(5) (2019) - 2017
- [c2]Sajitha Naduvil-Vadukootu, Rafal A. Angryk, Pete Riley:
Evaluating Preprocessing Strategies for Time Series Prediction using Deep Learning Architectures. FLAIRS 2017: 520-525 - 2016
- [c1]Ruizhe Ma, Rafal A. Angryk, Pete Riley:
A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes. IEEE BigData 2016: 3177-3186 - 2015
- [j2]Pete Riley, Michal Ben-Nun, Jon A. Linker, Angelia A. Cost, Jose L. Sanchez, Dylan B. George, David P. Bacon, Steven Riley:
Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations. PLoS Comput. Biol. 11(9) (2015) - 2013
- [j1]Pete Riley, Michal Ben-Nun, Richard Armenta, Jon A. Linker, Angela A. Eick, Jose L. Sanchez, Dylan B. George, David P. Bacon, Steven Riley:
Multiple Estimates of Transmissibility for the 2009 Influenza Pandemic Based on Influenza-like-Illness Data from Small US Military Populations. PLoS Comput. Biol. 9(5) (2013)
Coauthor Index
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