Fast and Accurate Influenza Forecasting in the United States with Inferno by Osthus, David Allen

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Multiscale influenza forecasting by Osthus, David Allen, Moran, Kelly Renee

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A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States by Reich, Nicholas G., Brooks, Logan C., Fox, Spencer J., Kandula, Sasikiran, McGowan, Craig J., Moore, Evan, Osthus, Dave, Ray, Evan L., Tushar, Abhinav, Yamana, Teresa K., Biggerstaff, Matthew, Johansson, Michael A., Rosenfeld, Roni, Shaman, Jeffrey

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Multiscale influenza forecasting by Osthus, Dave, Moran, Kelly R.

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Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S by Reich, Nicholas G, McGowan, Craig J, Yamana, Teresa K, Tushar, Abhinav, Ray, Evan L, Osthus, Dave, Kandula, Sasikiran, Brooks, Logan C, Crawford-Crudell, Willow, Gibson, Graham Casey, Moore, Evan, Silva, Rebecca, Biggerstaff, Matthew, Johansson, Michael A, Rosenfeld, Roni, Shaman, Jeffrey

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Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited by Osthus, Dave, Daughton, Ashlynn R, Priedhorsky, Reid

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Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling by Panda, Nishant, Osthus, Dave, Srinivasan, Gowri, O'Malley, Daniel, Chau, Viet, Oyen, Diane, Godinez, Humberto

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Estimating influenza incidence using search query deceptiveness and generalized ridge regression by Priedhorsky, Reid, Daughton, Ashlynn R, Barnard, Martha, O'Connell, Fiona, Osthus, Dave

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REPLY TO BRACHER: Scoring probabilistic forecasts to maximize public health interpretability by Reich, Nicholas G., Osthus, Dave, Ray, Evan L., Yamana, Teresa K., Biggerstaff, Matthew, Johansson, Michael A., Rosenfeld, Roni, Shaman, Jeffrey

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Fourier amplitude sensitivity test applied to dynamic combined finite-discrete element methods-based simulations by Godinez Vazquez, Humberto C., Rougier, Esteban, Osthus, David Allen, Lei, Zhou, Knight, Earl E., Srinivasan, Gowri

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Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil by Castro, Lauren Ann, Generous, Eric Nicholas Alexandre, Luo, Wei, Pastore y Piontti, Ana, Martinez, Kaitlyn Michelle, Gomes, Marcelo F.C., Osthus, David Allen, Ziemann, Amanda, Fairchild, Geoffrey, Vespignani, Alessandro, Santillana, Mauricio, Manore, Carrie Anna, Del Valle, Sara Y.

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Imputation for multisource data with comparison and assessment techniques by Casleton, Emily, Osthus, Dave, Van Buren, Kendra

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