Now showing items 1-3 of 3

    • Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques 

      Bors, Christian; Eichner, Christian; Miksch, Silvia; Tominski, Christian; Schumann, Heidrun; Gschwandtner, Theresia (The Eurographics Association, 2020)
      Time series segmentation is employed in various domains and continues to be a relevant topic of research. A segmentation pipeline is composed of different steps involving several parameterizable algorithms. Existing Visual ...
    • Quantifying Uncertainty in Multivariate Time Series Pre-Processing 

      Bors, Christian; Bernard, Jürgen; Bögl, Markus; Gschwandtner, Theresia; Kohlhammer, Jörn; Miksch, Silvia (The Eurographics Association, 2019)
      In multivariate time series analysis, pre-processing is integral for enabling analysis, but inevitably introduces uncertainty into the data. Enabling the assessment of the uncertainty and allowing uncertainty-aware analysis, ...
    • Uncertainty-aware Detection and Visualization of Ocean Eddies in Ensemble Flow Fields - A Case Study of the Red Sea 

      Raith, Felix; Scheuermann, Gerik; Gillmann, Christina (The Eurographics Association, 2021)
      Eddy detection is a state of the art tool to examine transport behavior in oceans, as they form circular movements that are highly involved in transferring mass in an ocean. To achieve this, ocean simulations are run ...