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'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . KDD, стр. 1799-1808. ACM, (2014)

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Minna Josephsohn

Martin Paul Joseph

Karl Josephthal

Herbert Joseph

Walter Joseph

 

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Fast graph scan statistics optimization using algebraic fingerprints., , и . IEEE BigData, стр. 905-910. IEEE Computer Society, (2017)Finding Spatial Clusters Susceptible to Epidemic Outbreaks due to Undervaccination., , и . AAMAS, стр. 1786-1788. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Finding Interesting Subgraphs with Guarantees.. Virginia Tech, Blacksburg, VA, USA, (2018)base-search.net (ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/81960).An integrated agent-based approach for modeling disease spread in large populations to support health informatics., , , , , и . BHI, стр. 629-632. IEEE, (2016)Combining Heterogeneous Data Sources for Civil Unrest Forecasting., , , , , и . ASONAM, стр. 258-265. ACM, (2015)End-to-End Framework for Imputation and State Discovery in Longitudinal Energy Data., , , , и . e-Energy, стр. 475-482. ACM, (2021)'Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators, , , , , , , , , и 20 other автор(ы). Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, стр. 1799--1808. New York, NY, USA, ACM, (2014)Critical Spatial Clusters for Vaccine Preventable Diseases., , и . SBP-BRiMS, том 12268 из Lecture Notes in Computer Science, стр. 213-223. Springer, (2020)Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling., , , , и . IEEECONF, стр. 371-375. IEEE, (2022)MIDAS: Multilinear Detection at Scale., , , и . IPDPS, стр. 2-11. IEEE Computer Society, (2018)