EuroVA: International Workshop on Visual Analytics

Eurographics DL Repository

EuroVA: International Workshop on Visual Analytics

 

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  • Nguyen, Phong H.; Turkay, Cagatay; Andrienko, Gennady; Andrienko, Natalia; Thonnard, Olivier (The Eurographics Association, 2017)
    Analysis of action sequence data provides new opportunities to understand and model user behaviour. Such data are often in the form of timestamped and labelled series of atomic user actions. Cyber security is one of the ...
  • Bernard, Jürgen; Zeppelzauer, Matthias; Sedlmair, Michael; Aigner, Wolfgang (The Eurographics Association, 2017)
    Assigning labels to data instances is a prerequisite for many machine learning tasks. Similarly, labeling is applied in visualinteractive analysis approaches. However, the strategies for creating labels often differ in the ...
  • Richter, Christian; Dübel, Steve; Schumann, Heidrun (The Eurographics Association, 2017)
    Visual analysis of geo-spatial data represented within a three-dimensional frame of reference is a challenging task. Focus+ Context is a common concept that aids this process. This paper addresses the question, how ...
  • Amor-Amorós, Albert; Federico, Paolo; Miksch, Silvia; Zambanini, Sebastian; Brenner, Simon; Sablatnig, Robert (The Eurographics Association, 2017)
    Georeferencing of multitemporal aerial imagery is a time-consuming and challenging task that typically requires a high degree of human intervention, and which appears in application domains of critical importance, like ...
  • Sacha, Dominik; Jentner, Wolfgang; Zhang, Leishi; Stoffel, Florian; Ellis, Geoffrey (The Eurographics Association, 2017)
    Criminal Intelligence Analysis (CIA) faces a challenging task in handling high-dimensional data that needs to be investigated with complex analytical processes. State-of-the-art crime analysis tools do not fully support ...
  • Alemzadeh, Shiva; Hielscher, Tommy; Niemann, Uli; Cibulski, Lena; Ittermann, Till; Völzke, Henry; Spiliopoulou, Myra; Preim, Bernhard (The Eurographics Association, 2017)
    Motivated by identifying subpopulations that share common characteristics (e.g. alcohol consumption) to explain risk factors of diseases in cohort study data, we used subspace clustering to discover such subpopulations. ...
  • Röhlig, Martin; Rosenthal, Paul; Schmidt, Christoph; Schumann, Heidrun; Stachs, Oliver (The Eurographics Association, 2017)
    Optical coherence tomography (OCT) enables noninvasive high-resolution 3D imaging of the human retina and thus, plays a fundamental role in detecting a wide range of ocular diseases. Despite OCT's diagnostic value, managing ...
  • Angelini, Marco; Ferro, Nicola; Santucci, Giuseppe; Silvello, Gianmaria (The Eurographics Association, 2017)
    Information Retrieval (IR) has been deeply rooted in experimentation since its inception, allowing researchers and developers to understand the behavior and interactions within increasingly complex IR systems, such as web ...
  • Sahaf, Zahra; Marbouti, Mahshid; Mota, Roberta Cabral; Alemasoom, Haleh; Maurer, Frank; Sousa, Mario Costa (The Eurographics Association, 2017)
    The fatal hazards associated with pipeline incidents as well as their frequent occurrence motivate pipeline analysts to learn from historical events and to use that information to prevent future ones by taking proper action. ...
  • Bernard, Jürgen; Dobermann, Eduard; Sedlmair, Michael; Fellner, Dieter W. (The Eurographics Association, 2017)
    Cluster and outlier analysis are two important tasks. Due to their nature these tasks seem to be opposed to each other, i.e., data objects either belong to a cluster structure or a sparsely populated outlier region. In ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Sedlmair, Michael; Tominski, Christian (Eurographics Association, 2017)
  • Dang, Tuan Nhon; Cui, Hong; Forbes, Angus G. (The Eurographics Association, 2016)
    Adjacency matrices can be a useful way to visualize dense networks. However, they do not scale well as the network size increases due to limited screen space, especially when the number of rows and columns exceeds the pixel ...
  • 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 ...
  • Bernard, Jürgen; Sessler, David; Steiger, Martin; Spott, Martin; Kohlhammer, Jörn (The Eurographics Association, 2016)
    The analysis of large, multivariate data sets is challenging, especially when some of these data objects are timeoriented. Exploring relationships between multivariate and temporal information, e.g., to identify patterns ...
  • Kriglstein, Simone; Pohl, Margit; Rinderle-Ma, Stefanie; Stallinger, Magdalena (The Eurographics Association, 2016)
    The increasing interest from industry and academia has driven the development of process mining techniques over the last years. Since the process mining entails a strong explorative perspective, the combination of process ...
  • Köthur, Patrick; Eggert, Daniel; Schenk, Andreas; Sips, Mike (The Eurographics Association, 2016)
    In this paper, we introduce persistent scatterer interferometry (PSI) as a new and promising application domain for Visual Analytics (VA). PSI studies changes of the Earth's topography by analyzing large time-varying point ...
  • Bernard, Jürgen; Dobermann, Eduard; Bögl, Markus; Röhlig, Martin; Vögele, Anna; Kohlhammer, Jörn (The Eurographics Association, 2016)
    Choosing appropriate time series segmentation algorithms and relevant parameter values is a challenging problem. In order to choose meaningful candidates it is important that different segmentation results are comparable. ...

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