Roni Rosenfeld
Affiliations: | Carnegie Mellon University, Pittsburgh, PA |
Area:
Computer ScienceGoogle:
"Roni Rosenfeld"Children
Sign in to add trainee| Dan Bohus | grad student | 2007 | Carnegie Mellon |
| Jahanzeb Sherwani | grad student | 2009 | Carnegie Mellon |
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Publications
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| Reich NG, McGowan CJ, Yamana TK, et al. (2019) Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S. Plos Computational Biology. 15: e1007486 |
| Johansson MA, Apfeldorf KM, Dobson S, et al. (2019) An open challenge to advance probabilistic forecasting for dengue epidemics. Proceedings of the National Academy of Sciences of the United States of America |
| Baltrusaitis K, Vespignani A, Rosenfeld R, et al. (2019) Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative Evaluation. Jmir Public Health and Surveillance. 5: e13403 |
| Reich NG, Osthus D, Ray EL, et al. (2019) Reply to Bracher: Scoring probabilistic forecasts to maximize public health interpretability. Proceedings of the National Academy of Sciences of the United States of America |
| Reich NG, Brooks LC, Fox SJ, et al. (2019) A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States. Proceedings of the National Academy of Sciences of the United States of America |
| Brooks LC, Farrow DC, Hyun S, et al. (2018) Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions. Plos Computational Biology. 14: e1006134 |
| Biggerstaff M, Johansson M, Alper D, et al. (2018) Results from the second year of a collaborative effort to forecast influenza seasons in the United States. Epidemics |
| Farrow DC, Brooks LC, Hyun S, et al. (2017) A human judgment approach to epidemiological forecasting. Plos Computational Biology. 13: e1005248 |
| Biggerstaff M, Alper D, Dredze M, et al. (2016) Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge. Bmc Infectious Diseases. 16: 357 |
| Brooks LC, Farrow DC, Hyun S, et al. (2015) Flexible Modeling of Epidemics with an Empirical Bayes Framework. Plos Computational Biology. 11: e1004382 |