Browsing Machine Learning Methods in Visualisation for Big Data 2021 by Title

Now showing items 1-3 of 3

    • Controllably Sparse Perturbations of Robust Classifiers for Explaining Predictions and Probing Learned Concepts 

      Roberts, Jay; Tsiligkaridis, Theodoros (The Eurographics Association, 2021)
      Explaining the predictions of a deep neural network (DNN) in image classification is an active area of research. Many methods focus on localizing pixels, or groups of pixels, which maximize a relevance metric for the ...

    • MLVis 2021: Frontmatter 

      Archambault, Daniel; Nabney, Ian; Peltonen, Jaakko (The Eurographics Association, 2021)

    • Revealing Multimodality in Ensemble Weather Prediction 

      Galmiche, Natacha; Hauser, Helwig; Spengler, Thomas; Spensberger, Clemens; Brun, Morten; Blaser, Nello (The Eurographics Association, 2021)
      Ensemble methods are widely used to simulate complex non-linear systems and to estimate forecast uncertainty. However, visualizing and analyzing ensemble data is challenging, in particular when multimodality arises, i.e., ...