Browsing Machine Learning Methods in Visualisation for Big Data 2022 by Title

Now showing items 1-4 of 4

    • MLVis 2022: Frontmatter 

      Archambault, Daniel; Nabney, Ian; Peltonen, Jaakko (The Eurographics Association, 2022)

    • Saliency Clouds: Visual Analysis of Point Cloud-oriented Deep Neural Networks in DeepRL for Particle Physics 

      Mulawade, Raju Ningappa; Garth, Christoph; Wiebel, Alexander (The Eurographics Association, 2022)
      We develop and describe saliency clouds, that is, visualization methods employing explainable AI methods to analyze and interpret deep reinforcement learning (DeepRL) agents working on point cloud-based data. The agent in ...

    • ViNNPruner: Visual Interactive Pruning for Deep Learning 

      Schlegel, Udo; Schiegg, Samuel; Keim, Daniel A. (The Eurographics Association, 2022)
      Neural networks grow vastly in size to tackle more sophisticated tasks. In many cases, such large networks are not deployable on particular hardware and need to be reduced in size. Pruning techniques help to shrink deep ...

    • 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 ...