Kaiyu Zhao, Matthew Ward, Elke Rundensteiner, and Huong Higgins
The VDA or Visualization and Data Analysis, Organizing Committee announced this week that a paper submitted by Kaiyu Zhou, Matthew Ward, Elke Rundensteiner and Huong Higgins, has been selected as one of the two best papers of VDA 2016!
The paper titled, "MaVis: Machine Learning Aided Multi-Model Framework for Time Series Visual Analytics," will earn Kaiyu Zhou, as the first author of the paper, an award of $150 U.S.