Virginia Tech
    • Log in
    Search 
    •   VTechWorks Home
    • Destination Areas (DAs)
    • Search
    •   VTechWorks Home
    • Destination Areas (DAs)
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-10 of 28

    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    Thumbnail

    Learning probabilistic models of connectivity from multiple spike train data 

    Patnaik, Debprakash; Laxman, Srivatsan; Ramakrishnan, Naren (2010-07-20)
    Neuronal circuits or cell assemblies carry out brain function through complex coordinated firing patterns [1]. Inferring topology of neuronal circuits from simultaneously recorded spike train data is a challenging problem ...
    Thumbnail

    Connecting the Dots between PubMed Abstracts 

    Hossain, M. Shahriar; Gresock, Joseph; Edmonds, Yvette M.; Helm, Richard F.; Potts, Malcolm; Ramakrishnan, Naren (PLOS, 2012-01-03)
    Background There are now a multitude of articles published in a diversity of journals providing information about genes, proteins, pathways, and diseases. Each article investigates subsets of a biological process, but to ...
    Thumbnail

    Unsupervised Spatial Event Detection in Targeted Domains with Applications to Civil Unrest Modeling 

    Zhao, Liang; Chen, Feng; Dai, Jing; Hua, Ting; Lu, Chang-Tien; Ramakrishnan, Naren (PLOS, 2014-10-28)
    Twitter has become a popular data source as a surrogate for monitoring and detecting events. Targeted domains such as crime, election, and social unrest require the creation of algorithms capable of detecting events pertinent ...
    Thumbnail

    Describing the Relationship between Cat Bites and Human Depression Using Data from an Electronic Health Record 

    Hanauer, David A.; Ramakrishnan, Naren; Seyfried, Lisa S. (PLOS, 2013-08-01)
    Data mining approaches have been increasingly applied to the electronic health record and have led to the discovery of numerous clinical associations. Recent data mining studies have suggested a potential association between ...
    Thumbnail

    Monitoring Disease Trends using Hospital Traffic Data from High Resolution Satellite Imagery: A Feasibility Study 

    Nsoesie, Elaine O.; Butler, Patrick; Ramakrishnan, Naren; Mekaru, Sumiko R.; Brownstein, John S. (Nature, 2015-03-13)
    Challenges with alternative data sources for disease surveillance include differentiating the signal from the noise, and obtaining information from data constrained settings. For the latter, events such as increases in ...
    Thumbnail

    An Epidemiology of Information: Data Mining the 1918 Influenza Epidemic Project Report 

    Hausman, Bernice L.; Pencek, Bruce; Ramakrishnan, Naren; Eysenbach, Gunther; Ewing, E. Thomas; Kerr, Kathleen; Gad, Samah (2014-04-07)
    This project research report describes the results of four case studies undertaken as part of Virginia Tech’s “An Epidemiology of Information: Data Mining the 1918 Flu Pandemic,” which was funded through the Digging into ...
    Thumbnail

    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 ...
    Thumbnail

    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 ...
    Thumbnail

    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 ...
    Thumbnail

    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 ...
    • 1
    • 2
    • 3

    If you believe that any material in VTechWorks should be removed, please see our policy and procedure for Requesting that Material be Amended or Removed. All takedown requests will be promptly acknowledged and investigated.

    Virginia Tech | University Libraries | Contact Us
     

     

    Browse

    All of VTechWorksCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CommunityBy Issue DateAuthorsTitlesSubjects

    My Account

    Log inRegister

    Discover

    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
    Ramakrishnan, Naren (28)
    Brownstein, John S. (5)Marathe, Madhav V. (5)Fox, Edward A. (4)Kavanaugh, Andrea L. (4)... View MoreHas File(s)Yes (28)

    If you believe that any material in VTechWorks should be removed, please see our policy and procedure for Requesting that Material be Amended or Removed. All takedown requests will be promptly acknowledged and investigated.

    Virginia Tech | University Libraries | Contact Us