Now showing items 39-58 of 152

    • 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 ...
    • Interactive Visual Analysis in the Concept Stage of a Hybrid-Vehicle Design 

      Matkovic, Kresimir; Duras, Mario; Gracanin, Denis; Splechtna, Rainer; Stehno, Benedikt; Hauser, Helwig (The Eurographics Association, 2013)
      The design of modern, hybrid vehicles is an active area of research. As the whole field is new, engineers need intuitive and powerful support tools. In this application paper, we illustrate an application of interactive ...
    • Interactive Visual Analysis of Ethological Studies: Getting Insight from Large Ensembles of Animals' Paths 

      Matkovic, Kresimir; Winding, Christiana; Splechtna, Rainer; Balka, Michael (The Eurographics Association, 2012)
      In this paper we describe how interactive visual analysis can be efficiently used to analyze a large ensemble of animal paths. Behavioral studies of animals are carried out in order to gain new insight in animal behavior, ...
    • Interactive Visual Analysis of Families of Surfaces: An Application to Car Race and Car Setup 

      Matkovic, Kresimir; Gracanin, Denis; Splechtna, Reiner; Hauser, Helwig (The Eurographics Association, 2010)
      Modern simulations often produce time series, or even functions of two variables as outputs for single attributes. Such complex data require carefully chosen and designed analysis procedures and the corresponding data ...
    • Interactive Visual Analysis of Patient-Reported Outcomes for Improved Cancer Aftercare 

      Müller, Juliane; Zebralla, Veit; Wiegand, Susanne; Oeltze-Jafra, Steffen (The Eurographics Association, 2019)
      The monitoring and planning of cancer aftercare are commonly based on clinical, physiological and caregiver-reported outcome measures. More recently, patient-reported outcome (PRO) measures, capturing social, psychological, ...
    • Interactive Visualization of AI-based Speech Recognition Texts 

      Wu, Tsung Heng; Zhao, Ye; Amiruzzaman, Md (The Eurographics Association, 2020)
      Speech recognition technology has achieved impressive success recently with AI techniques of deep learning networks. Speechto- text tools are becoming prevalent in many social applications such as field surveys. However, ...
    • Interactively Visualizing Summaries of Rules and Exceptions 

      Sharma, Geetika; Shroff, Gautam; Pandey, Aditeya; Agarwal, Puneet; Srinivasan, Ashwin (The Eurographics Association, 2014)
      Rules along with their exceptions have been used to explain large data sets in a comprehensible manner. In this paper we describe an interactive visualization scheme for rules and their exceptions. Our visual encoding is ...