2016 Awards

2016 Awards

INFORMS 2016  Data Mining Best Paper Awards: The information on the four winners and their papers (presenting person's name is highlighted in bold) are as follows:

  • "Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery" by Tuo Zhao from John Hopkins University.

    Tuo_Zhao-min.jpg

    • "Robust PCA via L1-Norm Line Fitting" by Paul Brooks and Jose Dula from Virginia Commonwealth University.

      Paul_Brooks-min.jpg

    • "Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining" by Chitta Ranjan from Georgia Tech.

      Chitta_Ranjan-min.jpg

    • "Residual Useful Lifetime Prediction Using a Degradation Image Stream" by Xiaolei Fang from Georgia Tech

      Xiaolei_Fang-min.jpg