Now showing items 1-4 of 4

    • From Ill-defined Problems to Informed Decisions 

      Roberts, Jonathan; Keim, Daniel; Hanratty, Timothy; Rowlingson, Robert; Walker, Rick; Hall, Mark; Jackobson, Zack; Lavigne, Valerie; Rooney, Chris; Varga, Margaret (The Eurographics Association, 2014)
      Decision makers such as military leaders and security analysts are increasingly being asked to make decisions on ill-defined problems. These problems may contain uncertain or incomplete data, and are often complex to piece ...
    • Interactively Visualizing Summaries of Rules and Exceptions 

      Sharma, Geetika; Shroff, Gautam; Pandey, Aditeya; Agarwal, Puneet; Srinivasan, Ashwin (The Eurographics Association, 2014)
      Rules along with their exceptions have been used to explain large data sets in a comprehensible manner. In this paper we describe an interactive visualization scheme for rules and their exceptions. Our visual encoding is ...
    • Ribbons: Enabling the Effective Use of HPC Utilization Data for System Support Staff 

      Sisneros, Robert; Fullop, Joshi; Semeraro, B. David; Bauer, Greg (The Eurographics Association, 2014)
      Beyond raw computational power, a supercomputer offers the capability of generating and logging a significant amount of diagnostic data. While adding to the burden of maintenance, this data nevertheless represents compelling ...
    • Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics 

      Luboschik, Martin; Röhlig, Martin; Kundt, Günther; Stachs, Oliver; Peschel, Sabine; Zhivov, Andrey; Guthoff, Rudolf F.; Winter, Karsten; Schumann, Heidrun (The Eurographics Association, 2014)
      In this paper, we describe a step-wise approach to utilize ophthalmic markers for detecting early diabetic neuropathy (DN), the most common long-term complication of diabetes mellitus. Our approach is based on the Visual ...