Browsing Machine Learning Methods in Visualisation for Big Data by Subject "Information visualization"

Now showing items 1-2 of 2

    • Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications 

      Janik, Adrianna; Sankaran, Kris; Ortiz, Anthony (The Eurographics Association, 2019)
      In the interpretability literature, attention is focused on understanding black-box classifiers, but many problems ranging from medicine through agriculture and crisis response in humanitarian aid are tackled by semantic ...

    • Visual Exploration of Neural Network Projection Stability 

      Bredius, Carlo; Tian, Zonglin; Telea, Alexandru (The Eurographics Association, 2022)
      We present a method to visually assess the stability of deep learned projections. For this, we perturb the high-dimensional data by controlled sequences and visualize the resulting changes in the 2D projection. We apply ...