Eurographics Partner Events: Recent submissions

Now showing items 761-780 of 2371

    • Visually Analyzing Latent Accessibility Clusters of Urban POIs 

      Kamw, Farah; AL-Dohuki, Shamal; Zhao, Ye; Yang, Jing; Ye, Xinyue; Chen, Wei (The Eurographics Association, 2019)
      Accessibility of urban POIs (Points of Interest) is a key topic in a variety of urban sciences and applications as it reflects inherent city design, transportation, and population flow features. Isochrone maps and other ...

    • Contextualized Analysis of Movement Events 

      Chen, Siming; Andrienko, Gennady; Andrienko, Natalia; Doulkeridis, Christos; Koumparos, Athanasios (The Eurographics Association, 2019)
      For understanding the circumstances, causes, and consequences of events that may happen during movement (e.g., harsh brake, sharp turn), it is necessary to analyze event context. The context includes dynamic attributes of ...

    • 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 ...

    • On Quality Indicators for Progressive Visual Analytics 

      Angelini, Marco; May, Thorsten; Santucci, Giuseppe; Schulz, Hans-Jörg (The Eurographics Association, 2019)
      A key component in using Progressive Visual Analytics (PVA) is to be able to gauge the quality of intermediate analysis outcomes. This is necessary in order to decide whether a current partial outcome is already good enough ...

    • Visualization of Rubik's Cube Solution Algorithms 

      Steinparz, Christian Alexander; Hinterreiter, Andreas; Stitz, Holger; Streit, Marc (The Eurographics Association, 2019)
      Rubik's Cube is among the world's most famous puzzle toys. Despite its relatively simple principle, it requires dedicated, carefully planned algorithms to be solved. In this paper, we present an approach to visualize how ...

    • Quantifying Uncertainty in Multivariate Time Series Pre-Processing 

      Bors, Christian; Bernard, Jürgen; Bögl, Markus; Gschwandtner, Theresia; Kohlhammer, Jörn; Miksch, Silvia (The Eurographics Association, 2019)
      In multivariate time series analysis, pre-processing is integral for enabling analysis, but inevitably introduces uncertainty into the data. Enabling the assessment of the uncertainty and allowing uncertainty-aware analysis, ...

    • Deep Learning Inverse Multidimensional Projections 

      Espadoto, Mateus; Rodrigues, Francisco Caio Maia; Hirata, Nina S. T.; Hirata Jr., Roberto; Telea, Alexandru C. (The Eurographics Association, 2019)
      We present a new method for computing inverse projections from 2D spaces to arbitrary high-dimensional spaces. Given any projection technique, we train a deep neural network to learn a low-to-high dimensional mapping based ...

    • TourDino: A Support View for Confirming Patterns in Tabular Data 

      Eckelt, Klaus; Adelberger, Patrick; Zichner, Thomas; Wernitznig, Andreas; Streit, Marc (The Eurographics Association, 2019)
      Seeking relationships and patterns in tabular data is a common data exploration task. To confirm hypotheses that are based on visual patterns observed during exploratory data analysis, users need to be able to quickly ...

    • Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling 

      Bernard, Jürgen; Hutter, Marco; Ritter, Christian; Lehmann, Markus; Sedlmair, Michael; Zeppelzauer, Matthias (The Eurographics Association, 2019)
      Manually labeling data sets is a time-consuming and expensive task that can be accelerated by interactive machine learning and visual analytics approaches. At the core of these approaches are strategies for the selection ...

    • EuroVa 2019: Frontmatter 

      Landesberger, Tatiana; Turkay, Cagatay (The Eurographics Association, 2019)

    • Trust in Information Visualization 

      Mayr, Eva; Hynek, Nicole; Salisu, Saminu; Windhager, Florian (The Eurographics Association, 2019)
      Trust is an important factor that mediates whether a user will rely and build on the information displayed in a visualization. Research in other fields shows that there are different mechanisms of trust building: Users ...

    • Examining the Components of Trust in Map-Based Visualizations 

      Xiong, Cindy; Padilla, Lace; Grayson, Kent; Franconeri, Steven (The Eurographics Association, 2019)
      Prior research suggests that perceived transparency is often associated with perceived trust. For some data types, greater transparency in data visualization is also associated with an increase in the amount of information ...

    • Detection of Confirmation and Distinction Biases in Visual Analytics Systems 

      Nalcaci, Atilla Alpay; Girgin, Dilara; Balki, Semih; Talay, Fatih; Boz, Hasan Alp; Balcisoy, Selim (The Eurographics Association, 2019)
      Cognitive bias is a systematic error that introduces drifts and distortions in the human judgment in terms of visual decomposition in the direction of the dominant instance. It has a significant role in decision-making ...

    • Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles 

      Gebauer, Eike; Linsen, Lars (The Eurographics Association, 2019)
      The aim of uncertainty-aware scalar field visualization is to convey the most likely case, but also the uncertainty associated with it. In scientific simulations, uncertainty can be modeled using an ensemble approach. ...

    • Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization 

      Kinkeldey, Christoph; Korjakow, Tim; Benjamin, Jesse Josua (The Eurographics Association, 2019)
      Interpretation of machine learning results is a major challenge for non-technical experts, with visualization being a common approach to support this process. For instance, interpretation of clustering results is usually ...

    • TrustVis 2019: Frontmatter 

      Kosara, Robert; Lawonn, Kai; Linsen, Lars; Smit, Noeska (The Eurographics Association, 2019)

    • The Curious Case of Combining Text and Visualization 

      Ottley, Alvitta; Kaszowska, Aleksandra; Crouser, R. Jordan; Peck, Evan M. (The Eurographics Association, 2019)
      Visualization research has made significant progress in demonstrating the value of graphical data representation. Even still, the value added by static visualization is disputed in some areas. When presenting Bayesian ...

    • The Design Space of SparkWords 

      Brath, Richard; MacMurchy, Peter; Banissi, Ebad (The Eurographics Association, 2019)
      The design space of SparkWords is consistently-sized words; embedded in sequential text (e.g. prose, lists); embellished by adding data, including categoric, ordered or quantitative data, that is encoded by a variety of ...

    • Authoring Combined Textual and Visual Descriptions of Graph Data 

      Latif, Shahid; Su, Kaidie; Beck, Fabian (The Eurographics Association, 2019)
      The interactive linking of text and visualizations supports easy and guided exploration of information and results in a coherent document. Authoring such documents for the web requires writing custom HTML and JavaScript. ...

    • CoCoa: A Linked Network Visualization System of Co-citation and Co-author Relationships 

      Nakazawa, Rina; Itoh, Takayuki; Saito, Takafumi (The Eurographics Association, 2019)
      We usually use a text-based search engine while surveying research papers. Such search systems have difficulties for novice researchers in case they do not know appropriate keywords or do not understand the positions of ...