EuroVisPosters2022: Recent submissions

Now showing items 21-35 of 35

    • MOBS - Multi-Omics Brush for Subgraph Visualisation 

      Heylen, Dries; Peeters, Jannes; Ertaylan, Gökhan; Hooyberghs, Jef; Aerts, Jan (The Eurographics Association, 2022)
      One of the big opportunities in multi-omics analysis is the identification of interactions between molecular entities and their association with diseases. In analyzing and expressing these interactions in the search for ...

    • A Mental Workload Estimation for Visualization Evaluation Using EEG Data and NASA-TLX 

      Yim, Soobin; Yoon, Chanyoung; Yoo, Sangbong; Jang, Yun (The Eurographics Association, 2022)
      Mental workload is a cognitive effort felt by users while solving tasks, and good visualizations tend to induce a low mental workload. For better visualizations, various visualization techniques have been evaluated through ...

    • Validating Perception of Hyperspectral Textures in Virtual Reality Systems 

      Díaz-Barrancas, Francisco; Cwierz, Halina; Gil-Rodríguez, Raquel; Pardo, Pedro J. (The Eurographics Association, 2022)
      Virtual reality (VR) environments are increasingly offering higher quality content. They use different computing techniques to improve the final user experience. In this work, we create different light sources and introduce ...

    • Visual Queries on Bipartite Multivariate Dynamic Social Networks 

      Pister, Alexis; Prieur, Christophe; Fekete, Jean-Daniel (The Eurographics Association, 2022)
      We present a new system for the visualization, visual query, and comparison of social networks modeled as bipartite multivariate dynamic graphs. Historians and sociologists study collections of documents -such as marriage ...

    • Interactive Visualization of Machine Learning Model Results Predicting Infection Risk 

      Schäfer, Steffen; Baumgartl, Tom; Wulff, Antje; Kuijper, Arjan; Marschollek, Michael; Scheithauer, Simone; von Landesberger, Tatiana (The Eurographics Association, 2022)
      We present a novel visual-interactive interface to show results of a machine learning algorithm, which predicts the infection probability for patients in hospitals. The model result data is complex and needs to be presented ...

    • A Design Space for Explainable Ranking and Ranking Models 

      Hazwan, Ibrahim Al; Schmid, Jenny; Sachdeva, Madhav; Bernard, Jürgen (The Eurographics Association, 2022)
      Item ranking systems support users in multi-criteria decision-making tasks. Users need to trust rankings and ranking algorithms to reflect user preferences nicely while avoiding systematic errors and biases. However, today ...

    • Visually Explaining Publication Ranks in Citation-based Literature Search with PURE Suggest 

      Beck, Fabian; Krause, Cedric (The Eurographics Association, 2022)
      Tracing citation links helps retrieve related publications. While most tools only allow the user to follow the citations of a single publication, some approaches support jointly analyzing the citations of a set of publications. ...

    • Visual Exploration of Genetic Sequence Variants in Pangenomes 

      van den Brandt, Astrid; Jonkheer, Eef M.; van Workum, Dirk-Jan M.; Smit, Sandra; Vilanova, Anna (The Eurographics Association, 2022)
      To study the genetic sequence variation underlying traits of interest, the field of comparative genomics is moving away from analyses with single reference genomes to pangenomes; abstract representations of multiple genomes ...

    • Visualizing the Evolution of Multi-agent Game-playing Behaviors 

      Agarwal, Shivam; Latif, Shahid; Rothweiler, Aristide; Beck, Fabian (The Eurographics Association, 2022)
      Analyzing the training evolution of AI agents in a multi-agent environment helps to understand changes in learned behaviors, as well as the sequence in which they are learned. We train an existing Pommerman team from scratch ...

    • Automatic Segmentation of Tooth Images: Optimization of Multi-parameter Image Processing Workflow 

      Bressan Fogalli, Giovani; Line, Sérgio Roberto Peres; Baum, Daniel (The Eurographics Association, 2022)
      The development of specific algorithms in image processing are usually related to dataset characteristics. Those characteristics will influence the number of instructions required to solve a problem. Normally, the more ...

    • Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates 

      Derstroff, Adrian; Leistikow, Simon; Nahardani, Ali; Ebrahimi, Mahyasadat; Hoerr, Verena; Linsen, Lars (The Eurographics Association, 2022)
      Biomarkers are measurable biological properties that allow for distinguishing subjects of different cohorts such as healthy vs. diseased. In the context of diagnosing diseases of the cardiovascular system, researchers aim ...

    • GDot-i: Interactive System for Dot Paintings of Graphs 

      Eades, Peter; Hong, Seok-Hee; McGrane, Martin; Meidiana, Amyra (The Eurographics Association, 2022)
      This poster presents GDot-i, an interactive system visualizing graphs and networks as dot paintings, inspired by the dot painting style of Central Australia. We describe the implementation of GDot-i, a web-based interactive ...

    • EuroVis 2022 Posters: Frontmatter 

      Krone, Michael; Lenti, Simone; Schmidt, Johanna (The Eurographics Association, 2022)

    • Digital Twins of Smart Farms 

      Zhao, Yuhang; Jiang, Zheyu; Pang, Shanchen; Lv, Zhihan (The Eurographics Association, 2022)
      In recent years, the development of Digital Twins has made rapid progress, and Digital Twins has gradually begun to combine various fields and applied to the current digitalization of the physical world. Digital Twins can ...

    • Scientific Convergence and Divergence in Visualization and Visual Analytics 

      He, Jiangen (The Eurographics Association, 2022)
      We present preliminary results of a visualization tool designed to visualize scientific evolution by using scientific publication data, especially convergence-divergence processes. It aims to increase the efficiency and ...