Brian Ten Eyck

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Predicting asymmetric threats (e.g., terrorist events) is becoming ever more important. Prior works have focused on tactical, statistical, and data-fusion systems. The thrust of our work has been the development of a non-numerical predictive model for amplifying intelligence analysts’ recognition of emergent threats. The intelligence community uses(More)
The Asymmetric Threat Response and Analysis Program (ATRAP) is a software system for intelligence fusion, visualization, reasoning, and prediction. ATRAP consists of a set of tools for annotating and automatically extracting entities and relationships from documents, visualizing this information in relational, geographic, and temporal dimensions, and(More)
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