Eurographics Partner Events: Recent submissions

Now showing items 1321-1340 of 2371

    • Geometry-Aware Visualization of Performance Data 

      Vierjahn, Tom; Hentschel, Bernd; Kuhlen, Torsten W. (The Eurographics Association, 2016)
      Phenomena in the performance behaviour of high-performance computing (HPC) applications can stem from the HPC system itself, from the application's code, but also from the simulation domain. In order to analyse the latter ...

    • Interactive Exploration of Student Generated Content presented in Blogs 

      Jusufi, Ilir; Milrad, Marcelo; Legaspi, Xurxo (The Eurographics Association, 2016)
      Nowadays blogs are regarded as tools for communication as well as an important source for spreading information in almost every subject. In recent years, school teachers have started to take advantage of this technology ...

    • Visual Analytics for Fraud Detection: Focusing on Profile Analysis 

      Leite, Roger Almeida; Gschwandtner, Theresia; Miksch, Silvia; Gstrein, Erich; Kuntner, Johannes (The Eurographics Association, 2016)
      Financial institutions are always interested in ensuring security and quality for their customers. Banks, for instance, need to identify and avoid harmful transactions. In order to detect fraudulent operations, data mining ...

    • Query by Visual Words: Visual Search for Scatter Plot Visualizations 

      Shao, Lin; Schleicher, Timo; Schreck, Tobias (The Eurographics Association, 2016)
      Finding interesting views in large collections of data visualizations, e.g., scatter plots, is challenging. Recently, ranking views based on heuristic quality measures has been proposed. However, quality measures may fail ...

    • Visual Analysis of Text Annotations for Stance Classification with ALVA 

      Kucher, Kostiantyn; Kerren, Andreas; Paradis, Carita; Sahlgren, Magnus (The Eurographics Association, 2016)
      The automatic detection and classification of stance taking in text data using natural language processing and machine learning methods create an opportunity to gain insight about the writers' feelings and attitudes towards ...

    • Transfer Function Optimization Based on a Combined Model of Visibility and Saliency 

      Luo, Shengzhou; Dingliana, John (The Eurographics Association, 2016)
      We present an automated technique to optimize the clarity of features in visualizations of 3D volume datasets. By adjusting the opacity transfer function, we achieve user-specified target distributions of feature conspicuity. ...

    • Tracking and Visualizing Dynamic Structures in Multichannel EEG Coherence Networks 

      Ji, Chengtao; Gronde, J. J. van de; Maurits, N. M.; Roerdink, Jos B. T. M. (The Eurographics Association, 2016)
      An electroencephalography (EEG) coherence network represents functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Visualization of ...

    • Coloring Interactive Compositional Dot Maps 

      Tennekes, Martijn; Jonge, Edwin de (The Eurographics Association, 2016)
      We propose an algorithmic color scheme for zoom-able compositional dot maps. Contrary to existing methods, it uses density, composition, and zoom level to color the pixels of the resulting dot map. We describe the method ...

    • Visual Data Exploration for Balance Quantification During Exergaming 

      Soancatl, Venustiano; Gronde, J. J. van de; Lamoth, C. J. C.; Maurits, N. M.; Roerdink, Jos B. T. M. (The Eurographics Association, 2016)
      Recently, digital games controlled by real-time body movements (exergames) have been proposed as an innovative method to improve balance among older adults. One of the main challenges for exergames is to automatically ...

    • MetricScalpel: Analyzing Diagnostic Outcomes with Exploratory Data Visualization 

      Li, Wei; Elderman, Joep; Hoogerwoord, Erwin; Funk, Mathias; Brombacher, Aarnout C. (The Eurographics Association, 2016)
      Healthcare data is the emerging force to push ahead smarter clinical solutions. However, unforeseen challenges like unmanaged massive data and costly access to it make it difficult for domain experts to easily derive ...

    • When Individual Data Points Matter: Interactively Analysing Classification Landscapes 

      Schneider, Bruno; Mittelstädt, Sebastian; Keim, Daniel A. (The Eurographics Association, 2016)
      The selection of classification models among several options with similar accuracy cannot be done through purely automated methods, and especially in scenarios in which the cost of misclassified instances is crucial, such ...

    • Quantitative Evaluation for Edge Bundling Based on Structural Aesthetics 

      Saga, Ryosuke (The Eurographics Association, 2016)
      This study proposes a method to evaluate the efficiency of edge bundling. Edge bundling is important to improve visual clutter of edge visualization. However, the evaluation of edge bundling is based only on qualitative ...

    • Hierarchical Clustering with Multiple-Height Branch-Cut Applied to Short Time-Series Gene Expression Data 

      Vogogias, Athanasios; Kennedy, Jessie; Archambault, Daniel (The Eurographics Association, 2016)
      Rigid adherence to pre-specified thresholds and static graphical representations can lead to incorrect decisions on merging of clusters. As an alternative to existing automated or semi-automated methods, we developed a ...

    • User Interaction Visualization for Design Synthesis 

      Aselmaa, Anet; Song, Yu; Goossens, Richard H. M. (The Eurographics Association, 2016)
      Through the synthesis of gathered user research data, interaction designers are able to generate design proposals. Logging user interactions with a software provides a rich set of data that can give further insights into ...

    • Eurovis Posters 2016: Frontmatter 

      Tobias Isenberg; Filip Sadlo (Eurographics Association, 2016)

    • MultiLayerMatrix: Visualizing Large Taxonomic Datasets 

      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 ...

    • 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 ...

    • Visual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Data 

      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 ...

    • Visual Analytics in Process Mining: Classification of Process Mining Techniques 

      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 ...

    • Visual Analytics for Persistent Scatterer Interferometry: First Steps and Future Challenges 

      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 ...