Now showing items 33-52 of 152

    • Feature Alignment for the Analysis of Verbatim Text Transcripts 

      Jentner, Wolfgang; El-Assady, Mennatallah; Gipp, Bela; Keim, Daniel A. (The Eurographics Association, 2017)
      In the research of deliberative democracy, political scientists are interested in analyzing the communication models of discussions, debates, and mediation processes with the goal of extracting reoccurring discourse patterns ...
    • Feature-Based Visual Analytics for Studying Simulations of Dynamic Bi-Stable Spatial Systems 

      Eichner, C.; Bittig, A.; Schumann, H.; Tominski, C. (The Eurographics Association, 2013)
      Simulations of dynamic bi-stable spatial systems usually generate large and complex data that are hard to evaluate. In this paper, we describe how visual analytics technology can help in analyzing such simulation data. The ...
    • Finding Arbitrary Shaped Clusters with Related Extents in Space and Time 

      Pölitz, Christian; Andrienko, Gennady; Andrienko, Natalia (The Eurographics Association, 2010)
      The paper deals with density-based clustering of events, i.e. objects positioned in space and time, such as occurrences of earthquakes, forest fires, mobile phone calls, or photos with geographical references. Finding ...
    • A Framework for the Multi-Temporal Analysis of Land Cover Change using Visual Analytics 

      Kinkeldey, C.; Schiewe, J. (The Eurographics Association, 2011)
      Land cover change analysis serves as a basis for planning processes in a wide range of applications. For this task, the use of remote sensing data has become more popular over the last decades. However, despite much research ...
    • From Ill-defined Problems to Informed Decisions 

      Roberts, Jonathan; Keim, Daniel; Hanratty, Timothy; Rowlingson, Robert; Walker, Rick; Hall, Mark; Jackobson, Zack; Lavigne, Valerie; Rooney, Chris; Varga, Margaret (The Eurographics Association, 2014)
      Decision makers such as military leaders and security analysts are increasingly being asked to make decisions on ill-defined problems. These problems may contain uncertain or incomplete data, and are often complex to piece ...
    • Frontmatter: EuroVA 2015 EuroVis Workshop on Visual Analytics 

      Roberts, Jonathan C.; Bertini, Enrico (Eurographics Association, 2015)
    • A Generic Model for Projection Alignment Applied to Neural Network Visualization 

      Cantareira, Gabriel Dias; Paulovich, Fernando V. (The Eurographics Association, 2020)
      Dimensionality reduction techniques are popular tools for the visualization of neural network models due to their ability to display hidden layer activations and aiding the understanding of how abstract representations are ...
    • Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts 

      Federico, Paolo; Unger, Jürgen; Amor-Amorós, Albert; Sacchi, Lucia; Klimov, Denis; Miksch, Silvia (The Eurographics Association, 2015)
      The advanced visualization of electronic health records (EHRs), supporting a scalable analysis from single patients to cohorts, intertwining patients' conditions with executed treatments, and handling the complexity of ...
    • Graph Visualization Using Hierarchical Edge Routing and Bundling 

      Kienreich, Wolfgang; Wozelka, Ralph; Sabol, Vedran; Seifert, Christin (The Eurographics Association, 2012)
      Driven by rapidly growing application areas such as semantic knowledge bases and social networks, visualization of large graphs has been gaining importance recently. A large amount of nodes and intersecting edges presents ...
    • Guidance for Multi-Type Entity Graphs from Text Collections 

      Müller, Martin; Ballweg, Kathrin; Landesberger, Tatiana von; Yimam, Seid; Fahrer, Uli; Biemann, Chris; Rosenbach, Marcel; Regneri, Michaela; Ulrich, H. (The Eurographics Association, 2017)
      The visual exploration of graphs encoding relationships between entities of multiple types (e.g., persons, locations,...) supports journalists in finding newsworthy information in large text collections. Journalists may ...
    • Guidance or No Guidance? A Decision Tree Can Help 

      Ceneda, Davide; Gschwandtner, Theresia; May, Thorsten; Miksch, Silvia; Streit, Marc; Tominski, Christian (The Eurographics Association, 2018)
      Guidance methods have the potential of bringing considerable benefits to Visual Analytics (VA), alleviating the burden on the user and allowing a positive analysis outcome. However, the boundary between conventional VA ...
    • Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces 

      Shao, Lin; Behrisch, Michael; Schreck, Tobias; Landesberger, Tatiana von; Scherer, Maximilian; Bremm, Sebastian; Keim, Daniel (The Eurographics Association, 2014)
      Recently, there has been an interest in methods for filtering large scatter plot spaces for interesting patterns. However, user interaction remains crucial in starting an explorative analysis in a large scatter plot space. ...
    • How Sensemaking Tools Influence Display Space Usage 

      Geymayer, Thomas; Waldner, Manuela; Lex, Alexander; Schmalstieg, Dieter (The Eurographics Association, 2017)
      We explore how the availability of a sensemaking tool influences users' knowledge externalization strategies. On a large display, users were asked to solve an intelligence analysis task with or without a bidirectionally ...
    • Inspector Gadget: Integrating Data Preprocessing and Orchestration in the Visual Analysis Loop 

      Krüger, Robert; Herr, Dominik; Haag, Florian; Ertl, Thomas (The Eurographics Association, 2015)
      Nowadays, tracking devices are small and cheap. For analysis tasks, there is no problem to obtain sufficient amounts of data. The challenge is how to make sense of the data, which often contain complex situations. Multiple ...
    • Integrated Spatial Uncertainty Visualization using Off-screen Aggregation 

      Jäckle, Dominik; Senaratne, Hansi; Buchmüller, Juri; Keim, Daniel A. (The Eurographics Association, 2015)
      Visualization of spatial data uncertainties is crucial to the data understanding and exploration process. Scientific measurements, numerical simulations, and user generated content are error prone sources that gravely ...
    • Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space 

      Agibetov, Asan; Vaquero, Ricardo Manuel Millan; Friese, Karl-Ingo; Patane, Giuseppe; Spagnuolo, Michela; Wolter, Franz-Erich (The Eurographics Association, 2014)
      The study and analysis of relationships in a complex and multi-scale data set is a challenge of information and scientific visualization. This work proposes an integrated visualization to capture all the important aspects ...
    • Integrating Predictions in Time Series Model Selection 

      Bögl, Markus; Aigner, Wolfgang; Filzmoser, Peter; Gschwandtner, Theresia; Lammarsch, Tim; Miksch, Silvia; Rind, Alexander (The Eurographics Association, 2015)
      Time series appear in many different domains. The main goal in time series analysis is to find a model for given time series. The selection of time series models is done iteratively based, usually, on information criteria ...
    • Interactive Analysis of Object Group Changes over Time 

      Bremm, S.; Landesberger, T. von; Andrienko, G.; Andrienko, N.; Schreck, Tobias (The Eurographics Association, 2011)
      The analysis of time-dependent data is an important task in various application domains. Often, the analyzed data objects belong to groups. The group memberships may stem from natural arrangements (e.g., animal herds), or ...
    • Interactive Image Feature Selection Aided by Dimensionality Reduction 

      Rauber, Paulo Eduardo; Silva, Renato Rodrigues Oliveira da; Feringa, Sander; Celebi, M. Emre; Falcão, Alexandre X.; Telea, Alexandru C. (The Eurographics Association, 2015)
      Feature selection is an important step in designing image classification systems. While many automatic feature selection methods exist, most of them are opaque to their users. We consider that users should be able to gain ...
    • Interactive Pattern Analysis of Multiple T-Maze Data 

      Bechtold, Fabrizia; Abraham, Hrvoje; Splechtna, Rainer; Matkovic, Krešimir (The Eurographics Association, 2019)
      The Multiple T-Maze study is one of the standard methods used in ethology and behaviourism. In this paper we extend the current state of the art in analysis of Multiple T-Maze data for animal cohorts. We focus on pattern ...