EuroVis 2018 - 20th EG/VGTC Conference on Visualization
Brno, Czech Republic 4-8 June 2018


Posters
CV3: Visual Exploration, Assessment, and Comparison of CVs
Velitchko Andreev Filipov, Paolo Federico, and Silvia Miksch
Extending Document Exploration with Image Retrieval: Concept and First Results
Lin Shao, Mathias Glatz, Eric Gergely, Markus Müller, Denis Munter, Stefan Papst, and Tobias Schreck
Visually Exploring Data Provenance and Quality of Open Data
Christian Bors, Theresia Gschwandtner, and Silvia Miksch
Case Studies of Shareable Personal Map Visualization
Puripant Ruchikachorn
An Eye-Tracking Study on Sparklines within Textual Context
Puripant Ruchikachorn and Pimmanee Rattanawicha
Network Analysis for Financial Fraud Detection
Roger A. Leite, Theresia Gschwandtner, Silvia Miksch, Erich Gstrein, and Johannes Kuntner
Validation of Quantitative Measures for Edge Bundling by Comparing with Human Feeling
Ryosuke Saga
ViMEC: Interactive Application for Micro-Cluster Visualizations
Florian Schmidt and Yannick Ehrenfeld
Exploring Uncertainty in Image Segmentation Ensembles
Bernhard Fröhler, Torsten Moeller, Johannes Weissenböck, Hans-Christian Hege, Johann Kastner, and Christoph Heinzl
Supporting Visual Parameter Analysis of Time Series Segmentation with Correlation Calculations
Christian Eichner, Heidrun Schumann, and Christian Tominski
The Impact of Visualizing Uncertainty on Train Trip Selection
Marcel Wunderlich, Kathrin Ballweg, and Tatiana von Landesberger
Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data
Markus Bögl, Christian Bors, Theresia Gschwandtner, and Silvia Miksch
Visual Analysis of Sentiment and Stance in Social Media Texts
Kostiantyn Kucher, Carita Paradis, and Andreas Kerren
Towards Natural Language Empowered Interactive Data Analysis
Cagatay Turkay and Rafael Henkin
A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways
Hsiang-Yun Wu, Martin Nöllenburg, and Ivan Viola

Recent Submissions

  • A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways 

    Wu, Hsiang-Yun; Nöllenburg, Martin; Viola, Ivan (The Eurographics Association, 2018)
    This poster abstract presents a visual comparison between three hand-drawn and one machine-generated human metabolic pathway diagrams. The human metabolic pathways, which describe significant biochemical reactions in the ...
  • Towards Natural Language Empowered Interactive Data Analysis 

    Turkay, Cagatay; Henkin, Rafael (The Eurographics Association, 2018)
    The recent advances in natural language based interaction methodologies offer promising avenues to enhance the interactive processes within the human-machine dialogue of visual analytics. We envisage Multimodal Data Analytics ...
  • Visual Analysis of Sentiment and Stance in Social Media Texts 

    Kucher, Kostiantyn; Paradis, Carita; Kerren, Andreas (The Eurographics Association, 2018)
    Despite the growing interest for visualization of sentiments and emotions in textual data, the task of detecting and visualizing various stances is not addressed well by the existing approaches. The challenges associated ...
  • The Impact of Visualizing Uncertainty on Train Trip Selection 

    Wunderlich, Marcel; Ballweg, Kathrin; Landesberger, Tatiana von (The Eurographics Association, 2018)
    Train trip planning means deciding on one of several travel connections. Possible train delays lead to uncertainties in the schedule connections and may influence the planning decisions. Although several designs for the ...
  • Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data 

    Bögl, Markus; Bors, Christian; Gschwandtner, Theresia; Miksch, Silvia (The Eurographics Association, 2018)
    The segmenting and labeling of multivariate time series data is applied in different domains, e.g. activity recognition or sensor states. This involves several steps of (pre-) processing, segmenting, and labeling of time ...
  • Supporting Visual Parameter Analysis of Time Series Segmentation with Correlation Calculations 

    Eichner, Christian; Schumann, Heidrun; Tominski, Christian (The Eurographics Association, 2018)
    Parameter analysis can be used to find out how individual parameters influence the output of an algorithm. We aim to support the visual parameter analysis of algorithms for the segmentation of time series. To this end, we ...
  • Exploring Uncertainty in Image Segmentation Ensembles 

    Fröhler, Bernhard; Möller, Torsten; Weissenböck, Johannes; Hege, Hans-Christian; Kastner, Johann; Heinzl, Christoph (The Eurographics Association, 2018)
    Finding the most accurate image segmentation involves analyzing results from different algorithms or parameterizations. In this work, we identify different types of uncertainty in this analysis that are represented by the ...
  • ViMEC: Interactive Application for Micro-Cluster Visualizations 

    Schmidt, Florian; Ehrenfeld, Yannick (The Eurographics Association, 2018)
    Digitalization increases the opportunity to collect vast amounts of data in a large scale manner. In order to handle the information overload, data mining techniques like online clustering are performed. A lot of online ...
  • Validation of Quantitative Measures for Edge Bundling by Comparing with Human Feeling 

    Saga, Ryosuke (The Eurographics Association, 2018)
    This paper describes an analysis of the relationship between human cognition and quantitative measures for a visualization method called edge bundling.Aesthetic rules-based measures, namely, mean edge length difference ...
  • Network Analysis for Financial Fraud Detection 

    Leite, Roger A.; Gschwandtner, Theresia; Miksch, Silvia; Gstrein, Erich; Kuntner, Johannes (The Eurographics Association, 2018)
    Security and quality are main concerns for private and public financial institutions. Data mining techniques based on the profiles of customers of a financial institution are commonly used to avoid fraud and financial ...
  • An Eye-Tracking Study on Sparklines within Textual Context 

    Ruchikachorn, Puripant; Rattanawicha, Pimmanee (The Eurographics Association, 2018)
    Sparklines are placed in documents but their usability is rarely evaluated in their immediate context of paragraphs of text. We conducted an eye-tracking study to measure readability and understandability of four different ...
  • Case Studies of Shareable Personal Map Visualization 

    Ruchikachorn, Puripant (The Eurographics Association, 2018)
    This paper presents two examples of personal data visualizations to be shared among peers. The visualized and shared data were travel destinations in Thailand and daily commutes in Bangkok, Thailand. The former gathered ...
  • Visually Exploring Data Provenance and Quality of Open Data 

    Bors, Christian; Gschwandtner, Theresia; Miksch, Silvia (The Eurographics Association, 2018)
    While open data platforms are increasingly popular among end-users as well as data providers, there is a growing problem with inconsistent update frequencies and lack of quality in datasets. Efforts to monitor data quality ...
  • Extending Document Exploration with Image Retrieval: Concept and First Results 

    Shao, Lin; Glatz, Mathias; Gergely, Eric; Müller, Markus; Munter, Denis; Papst, Stefan; Schreck, Tobias (The Eurographics Association, 2018)
    Information retrieval provides to date effective methods to search for documents relevant to user queries, and to support exploration of clusters of similar documents. Typically, the retrieval relies on text-based queries ...
  • CV3: Visual Exploration, Assessment, and Comparison of CVs 

    Filipov, Velitchko Andreev; Federico, Paolo; Miksch, Silvia (The Eurographics Association, 2018)
    Curriculum Vitae (CV) is an established representation of a person's academic and professional history. A typical CV is comprised of multiple sections associated with spatial, temporal, nominal, and ordinal data. Commonly, ...
  • EuroVis 2018 Posters: Frontmatter 

    Puig, Anna; Raidou, Renata Georgia (The Eurographics Association, 2018)