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    Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 

    McGowan, C.J.; Biggerstaff, M.; Johansson, M.; Apfeldorf, K.M.; Ben-Nun, M.; Brooks, L.; Convertino, M.; Erraguntla, M.; Farrow, D.C.; Freeze, J.; Ghosh, S.; Hyun, S.; Kandula, S.; Lega, J.; Liu, Y.; Michaud, N.; Morita, H.; Niemi, J.; Ramakrishnan, Naren; Ray, E.L.; Reich, N.G.; Riley, P.; Shaman, J.; Tibshirani, R.; Vespignani, A.; Zhang, Q.; Reed, C.; Rosenfeld, R.; Ulloa, N.; Will, K.; Turtle, J.; Bacon, D.; Riley, S.; Yang, W.; The Influenza Forecasting Working Group (Nature Publishing Group, 2019-01-24)
    Since 2013, the Centers for Disease Control and Prevention (CDC) has hosted an annual influenza season forecasting challenge. The 2015–2016 challenge consisted of weekly probabilistic forecasts of multiple targets, including ...
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    Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks 

    Ghosh, Saurav; Chakraborty, Prithwish; Nsoesie, Elaine O.; Cohn, Emily; Mekaru, Sumiko R.; Brownstein, John S.; Ramakrishnan, Naren (Nature, 2017-01-19)
    In retrospective assessments, internet news reports have been shown to capture early reports of unknown infectious disease transmission prior to official laboratory confirmation. In general, media interest and reporting ...
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    User Intention-Based Traffic Dependence Analysis for Anomaly Detection 

    Zhang, Hao; Banick, William; Yao, Danfeng (Daphne); Ramakrishnan, Naren (Department of Computer Science, Virginia Polytechnic Institute & State University, 2012), TR-12-07
    This paper describes an approach for enforcing dependencies between network traffic and user activities for anomaly detection. We present a framework and algorithms that analyze user actions and network events on a host ...
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    Spatio-Temporal Storytelling on Twitter 

    Dos Santos Jr, Raimundo F.; Shah, Sumit; Chen, Feng; Boedihardjo, Arnold P.; Butler, Patrick; Lu, Chang-Tien; Ramakrishnan, Naren (Department of Computer Science, Virginia Polytechnic Institute & State University, 2013-12-16), TR-13-06
    Social media, e.g.,Twitter, have provided us an unprecedented opportunity to observe events un-folding in real-time. The rapid pace at which situations play out on social media necessitates new tools for capturing and ...
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    Unearthing Stealthy Program Attacks Buried in Extremely Long Execution Paths 

    Shu, Xiaokui; Yao, Danfeng (Daphne); Ramakrishnan, Naren (ACM, 2015-10)
    Modern stealthy exploits can achieve attack goals without introducing illegal control flows, e.g., tampering with noncontrol data and waiting for the modified data to propagate and alter the control flow legally. Existing ...
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    ‘Beating the news’ with EMBERS: Forecasting Civil Unrest using Open Source Indicators 

    Ramakrishnan, Naren; Butler, Patrick; Self, Nathan; Khandpur, Rupinder; Saraf, Parang; Wang, Wei; Cadena, Jose; Vullikanti, Anil; Korkmaz, Gizem; Kuhlman, Chris; Marathe, Achla; Zhao, Liang; Ting, Hua; Huang, Bert; Srinivasan, Aravind; Trinh, Khoa; Getoor, Lise; Katz, Graham; Doyle, Andy; Ackermann, Chris; Zavorin, Ilya; Ford, Jim; Summers, Kristen; Fayed, Youssef; Arredondo, Jaime; Gupta, Dipak; Mares, David; Muthia, Sathappan; Chen, Feng; Lu, Chang-Tien (2014)
    We describe the design, implementation, and evaluation of EMBERS, an automated, 24x7 continuous system for forecasting civil unrest across 10 countries of Latin America using open source indicators such as tweets, news ...
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    Forecasting the Flu: Designing Social Network Sensors for Epidemics 

    Shao, Huijuan; Hossain, K.S.M. Tozammel; Wu, Hao; Khan, Maleq; Vullikanti, Anil; Prakash, B. Aditya; Marathe, Madhav; Ramakrishnan, Naren (Virginia Tech, 2016-03-08)
    Early detection and modeling of a contagious epidemic can provide important guidance about quelling the contagion, controlling its spread, or the effective design of countermeasures. A topic of recent interest has been to ...
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    From Landscapes to Waterscapes: A PSE for Landuse Change Analysis 

    Rubin, E.J.; Diet, R.; Chanat, J.; Speir, C.; Dymond, Randel L.; Lohani, Vinod K.; Kibler, David F.; Bosch, D. D.; Shaffer, Clifford A.; Ramakrishnan, Naren; Watson, Layne T. (Department of Computer Science, Virginia Polytechnic Institute & State University, 2000), TR-00-09
    We describe the design and implementation of L2W — a problem solving environment (PSE) for landuse change analysis. L2W organizes and unifies the diverse collection of software typically associated with ecosystem models ...
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    A systematic review of studies on forecasting the dynamics of influenza outbreaks 

    Nsoesie, Elaine O.; Brownstein, John S.; Ramakrishnan, Naren; Marathe, Madhav V. (Wiley, 2013-12-23)
    Forecasting the dynamics of influenza outbreaks could be useful for decision-making regarding the allocation of public health resources. Reliable forecasts could also aid in the selection and implementation of interventions ...
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    NSF 3rd Year Report: CTRnet: Integrated Digital Library Support for Crisis, Tragedy, and Recovery 

    Fox, Edward A.; Shoemaker, Donald J.; Sheetz, Steven D.; Kavanaugh, Andrea L.; Ramakrishnan, Naren (2012-07-01)
    The Crisis, Tragedy and Recovery (CTR) network, or CTRnet, is a human and digital library network for providing a range of services relating to different kinds of tragic events, including broad collaborative studies related ...
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    Content TypeArticle - Refereed (12)Technical report (10)Conference proceeding (4)Article (1)Poster (1)SubjectCrises (3)Digital libraries (3)Information retrieval (3)Bioinformatics (2)Microblogging (2)... View MoreDate Issued2010 - 2019 (25)2000 - 2009 (3)Author
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    Brownstein, John S. (5)Fox, Edward A. (4)Kavanaugh, Andrea L. (4)Lu, Chang-Tien (4)... View MoreHas File(s)Yes (28)

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