Now showing items 1-3 of 3

    • Interactive Visual Explanation of Incremental Data Labeling 

      Beckmann, Raphael; Blaga, Cristian; El-Assady, Mennatallah; Zeppelzauer, Matthias; Bernard, Jürgen (The Eurographics Association, 2022)
      We present a visual analytics approach for the in-depth analysis and explanation of incremental machine learning processes that are based on data labeling. Our approach offers multiple perspectives to explain the process, ...
    • SepEx: Visual Analysis of Class Separation Measures 

      Bernard, Jürgen; Hutter, Marco; Zeppelzauer, Matthias; Sedlmair, Michael; Munzner, Tamara (The Eurographics Association, 2020)
      Class separation is an important concept in machine learning and visual analytics. However, the comparison of class separation for datasets with varying dimensionality is non-trivial, given a) the various possible structural ...
    • Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling 

      Bernard, Jürgen; Hutter, Marco; Ritter, Christian; Lehmann, Markus; Sedlmair, Michael; Zeppelzauer, Matthias (The Eurographics Association, 2019)
      Manually labeling data sets is a time-consuming and expensive task that can be accelerated by interactive machine learning and visual analytics approaches. At the core of these approaches are strategies for the selection ...