Now showing items 1-3 of 3

    • Interactive Generation of 1D Embeddings from 2D Multi-dimensional Data Projections 

      Ngo, Quynh Quang; Linsen, Lars (The Eurographics Association, 2020)
      Visual analysis of multi-dimensional data is commonly supported by mapping the data to a 2D embedding. When analyzing a sequence of multi-dimensional data, e.g., in case of temporal data, the usage of 1D embeddings allows ...
    • Visual Analytics of Simulation Ensembles for Network Dynamics 

      Ngo, Quynh Quang; Hütt, Marc-Thorsten; Linsen, Lars (The Eurographics Association, 2019)
      A central question in the field of Network Science is to analyze the role of a given network topology on the dynamical behavior captured by time-varying simulations executed on the network. These dynamical systems are also ...
    • Visual Ensemble Analysis to Study the Influence of Hyper-parameters on Training Deep Neural Networks 

      Hamid, Sagad; Derstroff, Adrian; Klemm, Sören; Ngo, Quynh Quang; Jiang, Xiaoyi; Linsen, Lars (The Eurographics Association, 2019)
      A good deep neural network design allows for efficient training and high accuracy. The training step requires a suitable choice of several hyper-parameters. Limited knowledge exists on how the hyper-parameters impact the ...