Now showing items 45-64 of 152

    • 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 ...
    • Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics 

      Sperrle, Fabian; Jeitler, Astrik; Bernard, Jürgen; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association, 2020)
      Guidance processes in visual analytics applications often lack adaptivity. In this position paper, we contribute the concept of co-adaptive guidance, building on the principles of initiation and adaptation. We argue that ...
    • Lessons on Combining Topology and Geography - Visual Analytics for Electrical Outage Management 

      Jäger, Alexander; Mittelstädt, Sebastian; Oelke, Daniela; Sander, Sonja; Platz, Axel; Bouwman, Gies; Keim, Daniel A. (The Eurographics Association, 2016)
      Outage management in electrical networks is a complex task for operators and requires comprehensive overviews of the topology. At the same time valuable information for detecting the root cause may have geographical context ...
    • Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery 

      Lammarsch, T.; Aigner, W.; Bertone, A.; Miksch, S.; Rind, A. (The Eurographics Association, 2013)
      Temporal Data Mining is a core concept of Knowledge Discovery in Databases handling time-oriented data. Stateof- the-art methods are capable of preserving the temporal order of events as well as the information in between. ...
    • Modeling Incremental Visualizations 

      Angelini, Marco; Santucci, Giuseppe (The Eurographics Association, 2013)
      An increasing number of applications call for the incremental/iterative drawing of a visualization. That is an obvious requirement when dealing with continuously changing data, like the emerging field of data streams or ...
    • Moving Together: Towards a Formalization of Collective Movement 

      Buchmüller, Juri; Cakmak, Eren; Andrienko, Natalia; Andrienko, Gennady; Jolles, Jolle W.; Keim, Daniel A. (The Eurographics Association, 2019)
      While conventional applications for spatiotemporal datasets mostly focus on the relation between movers and environment, research questions in the analysis of collective movement typically focus more on relationships and ...
    • Multigraph Visualization for Feature Classification of Brain Network Data 

      Wang, Jiachen; Fang, Shiaofen; Li, Huang; Goñi, Joaquín; Saykin, Andrew J.; Shen, Li (The Eurographics Association, 2016)
      A Multigraph is a set of graphs with a common set of nodes but different sets of edges. Multigraph visualization has not received much attention so far. In this paper, we introduce a multigraph application in brain network ...