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Inferring the origin locations of tweets with quantitative confidence.

, , and . CSCW, page 1523-1536. ACM, (2014)

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Inferring the origin locations of tweets with quantitative confidence., , and . CSCW, page 1523-1536. ACM, (2014)Predicting Dengue Incidence in Brazil Using Broad-Scale Spectral Remote Sensing Imagery., , , , , , and . IGARSS, page 2076-2078. IEEE, (2018)Mixing patterns between age groups in social networks., , , and . Soc. Networks, 29 (4): 539-554 (2007)Hindcasting Violent Events in Colombia Using Internet Data., , , and . Digit. Gov. Res. Pract., 2 (3): 28:1-28:14 (2021)Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates., , , , , and . Healthcare AI and COVID-19 Workshop, volume 184 of Proceedings of Machine Learning Research, page 54-62. PMLR, (2022)Modeling the Impact of Behavior Changes on the Spread of Pandemic Influenza, , and . page 59--77. Springer, New York, NY, (2013)Towards a hybrid agent-based model for mosquito borne disease., , , , and . SummerSim, page 10. SCS/ ACM, (2014)EpiSimS simulation of a multi-component strategy for pandemic influenza., , , , and . SpringSim, page 556-563. SCS/ACM, (2008)Eliciting Disease Data from Wikipedia Articles., , , and . CoRR, (2015)Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure., , , , , , , , , and . Soc. Networks, (2024)