Browsing EuroVA: International Workshop on Visual Analytics by Title

Now showing items 116-135 of 190

    • SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations 

      Buchmüller, Juri F.; Schlegel, Udo; Cakmak, Eren; Keim, Daniel A.; Dimara, Evanthia (The Eurographics Association, 2020)
      Compact visual summaries of spatio-temporal movement data often strive to express accurate positions of movers. We present SpatialRugs, a technique to enhance the spatial awareness of movements in dense pixel visualizations. ...

    • Steerable Clustering for Visual Analysis of Ecosystems 

      Ahmed, Zafar; Yost, Patrick; McGovern, Amy; Weaver, Chris (The Eurographics Association, 2011)
      One of the great challenges in the geosciences is understanding ecological systems in order to predict changes and responses in space and time at scales from local to global. Ecologists are starting to recognize the value ...

    • Stress Maps: Analysing Local Phenomena in Dimensionality Reduction Based Visualisations 

      Seifert, Christin; Sabol, Vedran; Kienreich, Wolfgang (The Eurographics Association, 2010)
      Challenges in Visual Analytics frequently involve massive repositories, which do not only contain a large number of information artefacts, but also a high number of relevant dimensions per artefact. Dimensionality reduction ...

    • Subpopulation Discovery and Validation in Epidemiological Data 

      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. ...

    • Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics 

      Luboschik, Martin; Röhlig, Martin; Kundt, Günther; Stachs, Oliver; Peschel, Sabine; Zhivov, Andrey; Guthoff, Rudolf F.; Winter, Karsten; Schumann, Heidrun (The Eurographics Association, 2014)
      In this paper, we describe a step-wise approach to utilize ophthalmic markers for detecting early diabetic neuropathy (DN), the most common long-term complication of diabetes mellitus. Our approach is based on the Visual ...

    • Supporting Historical Research Through User-Centered Visual Analytics 

      Boukhelifa, Nadia; Giannisakis, Emmanouil; Dimara, Evanthia; Willett, Wesley; Fekete, Jean-Daniel (The Eurographics Association, 2015)
      In this paper we describe the development and evaluation of a visual analytics tool to support historical research. Historians continuously gather data related to their scholarly research from archival visits and background ...

    • Supporting Visual Analysis in Smart Meeting Rooms 

      Radloff, Axel; Fuchs, Georg; Schumann, Heidrun (The Eurographics Association, 2012)
      Smart meeting rooms as a specific form of multi-display environments (MDE) feature ad-hoc ensembles of heterogeneous devices and software tools to facilitate collective work and information sharing between multiple users. ...

    • SurviVIS: Visual Analytics for Interactive Survival Analysis 

      Corvò, Alberto; Garcia Caballero, Humberto; Westenberg, Michel (The Eurographics Association, 2019)
      The increasing quantity of data in biomedical informatics is leading towards better patient profiling and personalized medicine. Lab tests, medical images, and clinical data represent extraordinary sources for patient ...

    • A System for Query Based Analysis and Visualization 

      Sanderson, Allen R.; Whitlock, Brad; Rübel, Oliver; Childs, Hank; Weber, Gunther; Prabhat, Mr; Wu, Kenseng (The Eurographics Association, 2012)
      Today scientists are producing large volumes of data that they wish to explore and visualize. In this paper we describe a system that combines range-based queries with fast lookup to allow a scientist to quickly and ...

    • Talk2Hand: Knowledge Board Interaction in Augmented Reality Easing Analysis with Machine Learning Assistants 

      Hong, Yu-Lun; Watson, Benjamin; Thompson, Kenneth; Davis, Paul (The Eurographics Association, 2021)
      Analysts now often use machine learning (ML) assistants, but find them difficult to use, since most have little ML expertise. Talk2Hand improves the usability of ML assistants by supporting interaction with them using ...

    • A Taxonomy of Attribute Scoring Functions 

      Schmid, Jenny; Bernard, Jürgen (The Eurographics Association, 2021)
      Shifting the analysis from items to the granularity of attributes is a promising approach to address complex decision-making problems. In this work, we study attribute scoring functions (ASFs), which transform values from ...

    • 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 ...

    • Toward Disease Diagnosis Visual Support Bridging Classic and Precision Medicine 

      Palleschi, Alessia; Petti, Manuela; Tieri, Paolo; Angelini, Marco (The Eurographics Association, 2022)
      The traditional approach in medicine starts with investigating patients' symptoms to make a diagnosis. While with the advent of precision medicine, a diagnosis results from several factors that interact and need to be ...

    • Towards a Concept how the Structure of Time can Support the Visual Analytics Process 

      Lammarsch, T.; Aigner, W.; Bertone, A.; Miksch, S.; Rind, A. (The Eurographics Association, 2011)
      The primary goal of Visual Analytics (VA) is the close intertwinedness of human reasoning and automated methods. An important task for this goal is formulating a description for such a VA process. We propose the design of ...

    • Towards more Visual Analytics in Learning Analytics 

      Ritsos, Panagiotis D.; Roberts, Jonathan C. (The Eurographics Association, 2014)
      Learning Analytics is the collection, management and analysis of students' learning. It is used to enable teachers to understand how their students are progressing and for learners to ascertain how well they are performing. ...

    • Towards Privacy-Preserving Semantic Mobility Analysis 

      Andrienko, N.; Andrienko, G.; Fuchs, G. (The Eurographics Association, 2013)
      By analyzing data reflecting human mobility, one can derive patterns and knowledge that are tightly linked to the underlying geography and therefore cannot be applied to another territory or even compared with patterns ...

    • Towards the Detection and Visual Analysis of COVID-19 Infection Clusters 

      Antweiler, Dario; Sessler, David; Ginzel, Sebastian; Kohlhammer, Jörn (The Eurographics Association, 2021)
      A major challenge for departments of public health (DPHs) in dealing with the ongoing COVID-19 pandemic is tracing contacts in exponentially growing SARS-CoV2 infection clusters. Prevention of further disease spread requires ...

    • Towards Understanding Edit Histories of Multivariate Graphs 

      Berger, Philip; Schumann, Heidrun; Tominski, Christian (The Eurographics Association, 2022)
      The visual analysis of multivariate graphs increasingly involves not only exploring the data, but also editing them. Existing editing approaches for multivariate graphs support visual analytics workflows by facilitating a ...

    • Towards Visual Cyber Security Analytics for the Masses 

      Ulmer, Alex; Schufrin, Marija; Lücke-Tieke, Hendrik; Kannanayikkal, Clindo Devassy; Kohlhammer, Jörn (The Eurographics Association, 2018)
      Understanding network activity and cyber threats is of major concern these days, for business and private users alike. As more and more online applications assist us in our daily life, there is a growing potential vulnerability ...

    • Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media 

      Chae, Junghoon; Cui, Yuchen; Jang, Yun; Wang, Guizhen; Malik, Abish; Ebert, David S. (The Eurographics Association, 2015)
      The rapid development and increasing availability of mobile communication and location acquisition technologies allow people to add location data to existing social networks so that people share location-embedded information. ...