Now showing items 1-20 of 37

    • Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations 

      Eschner, Johannes; Mindek, Peter; Waldner, Manuela (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      3D animations are an effective method to learn about complex dynamic phenomena, such as mesoscale biological processes. The animators' goals are to convey a sense of the scene's overall complexity while, at the same time, ...
    • Teru Teru Bozu: Defensive Raincloud Plots 

      Correll, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Univariate visualizations like histograms, rug plots, or box plots provide concise visual summaries of distributions. However, each individual visualization may fail to robustly distinguish important features of a distribution, ...
    • VISITOR: Visual Interactive State Sequence Exploration for Reinforcement Learning 

      Metz, Yannick; Bykovets, Eugene; Joos, Lucas; Keim, Daniel; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Understanding the behavior of deep reinforcement learning agents is a crucial requirement throughout their development. Existing work has addressed the identification of observable behavioral patterns in state sequences ...
    • xOpat: eXplainable Open Pathology Analysis Tool 

      Horák, Jirí; Furmanová, Katarína; Kozlíková, Barbora; Brázdil, Tomáš; Holub, Petr; Kacenga, Martin; Gallo, Matej; Nenutil, Rudolf; Byška, Jan; Rusnak, Vit (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Histopathology research quickly evolves thanks to advances in whole slide imaging (WSI) and artificial intelligence (AI). However, existing WSI viewers are tailored either for clinical or research environments, but none ...
    • ParaDime: A Framework for Parametric Dimensionality Reduction 

      Hinterreiter, Andreas; Humer, Christina; Kainz, Bernhard; Streit, Marc (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      ParaDime is a framework for parametric dimensionality reduction (DR). In parametric DR, neural networks are trained to embed high-dimensional data items in a low-dimensional space while minimizing an objective function. ...
    • Belief Decay or Persistence? A Mixed-method Study on Belief Movement Over Time 

      Gupta, Shrey; Karduni, Alireza; Wall, Emily (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      When individuals encounter new information (data), that information is incorporated with their existing beliefs (prior) to form a new belief (posterior) in a process referred to as belief updating. While most studies on ...
    • Beyond Alternative Text and Tables: Comparative Analysis of Visualization Tools and Accessibility Methods 

      Kim, Nam Wook; Ataguba, Grace; Joyner, Shakila Cherise; Zhao, Chuangdian; Im, Hyejin (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Modern visualization software and programming libraries have made data visualization construction easier for everyone. However, the extent of accessibility design they support for blind and low-vision people is relatively ...
    • Unfolding Edges: Adding Context to Edges in Multivariate Graph Visualization 

      Bludau, Mark-Jan; Dörk, Marian; Tominski, Christian (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Existing work on visualizing multivariate graphs is primarily concerned with representing the attributes of nodes. Even though edges are the constitutive elements of networks, there have been only few attempts to visualize ...
    • A Fully Integrated Pipeline for Visual Carotid Morphology Analysis 

      Eulzer, Pepe; Deylen, Fabienne von; Hsu, Wei-Chan; Wickenhöfer, Ralph; Klingner, Carsten M.; Lawonn, Kai (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Analyzing stenoses of the internal carotids - local constrictions of the artery - is a critical clinical task in cardiovascular disease treatment and prevention. For this purpose, we propose a self-contained pipeline for ...
    • Memory-Efficient GPU Volume Path Tracing of AMR Data Using the Dual Mesh 

      Zellmann, Stefan; Wu, Qi; Ma, Kwan-Liu; Wald, Ingo (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      A common way to render cell-centric adaptive mesh refinement (AMR) data is to compute the dual mesh and visualize that with a standard unstructured element renderer. While the dual mesh provides a high-quality interpolator, ...
    • visMOP - A Visual Analytics Approach for Multi-omics Pathways 

      Brich, Nicolas; Schacherer, Nadine; Hoene, Miriam; Weigert, Cora; Lehmann, Rainer; Krone, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      We present an approach for the visual analysis of multi-omics data obtained using high-throughput methods. The term ''omics'' denotes measurements of different types of biologically relevant molecules, like the products ...
    • GO-Compass: Visual Navigation of Multiple Lists of GO terms 

      Harbig, Theresa; Paz, Mathias Witte; Nieselt, Kay (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Analysis pipelines in genomics, transcriptomics, and proteomics commonly produce lists of genes, e.g., differentially expressed genes. Often these lists overlap only partly or not at all and contain too many genes for ...
    • DASS Good: Explainable Data Mining of Spatial Cohort Data 

      Wentzel, Andrew; Floricel, Carla; Canahuate, Guadalupe; Naser, Mohamed A.; Mohamed, Abdallah S.; Fuller, Clifton David; Dijk, Lisanne van; Marai, G. Elisabeta (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose distributions across adjacent organs at risk. We describe the co-design of ...
    • Do Disease Stories need a Hero? Effects of Human Protagonists on a Narrative Visualization about Cerebral Small Vessel Disease 

      Mittenentzwei, Sarah; Weiß, Veronika; Schreiber, Stefanie; Garrison, Laura A.; Bruckner, Stefan; Pfister, Malte; Preim, Bernhard; Meuschke, Monique (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Authors use various media formats to convey disease information to a broad audience, from articles and videos to interviews or documentaries. These media often include human characters, such as patients or treating physicians, ...
    • Evaluating View Management for Situated Visualization in Web-based Handheld AR 

      Batch, Andrea; Shin, Sungbok; Liu, Julia; Butcher, Peter W. S.; Ritsos, Panagiotis D.; Elmqvist, Niklas (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      As visualization makes the leap to mobile and situated settings, where data is increasingly integrated with the physical world using mixed reality, there is a corresponding need for effectively managing the immersed user's ...
    • Tac-Anticipator: Visual Analytics of Anticipation Behaviors in Table Tennis Matches 

      Wang, Jiachen; Wu, Yihong; Zhang, Xiaolong; Zeng, Yixin; Zhou, Zheng; Zhang, Hui; Xie, Xiao; Wu, Yingcai (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Anticipation skill is important for elite racquet sports players. Successful anticipation allows them to predict the actions of the opponent better and take early actions in matches. Existing studies of anticipation ...
    • Exploring Interpersonal Relationships in Historical Voting Records 

      Cantareira, Gabriel Dias; Xing, Yiwen; Cole, Nicholas; Borgo, Rita; Abdul-Rahman, Alfie (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Historical records from democratic processes and negotiation of constitutional texts are a complex type of data to navigate due to the many different elements that are constantly interacting with one another: people, ...
    • A Comparative Evaluation of Visual Summarization Techniques for Event Sequences 

      Zinat, Kazi Tasnim; Yang, Jinhua; Gandhi, Arjun; Mitra, Nistha; Liu, Zhicheng (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Real-world event sequences are often complex and heterogeneous, making it difficult to create meaningful visualizations using simple data aggregation and visual encoding techniques. Consequently, visualization researchers ...
    • ChemoGraph: Interactive Visual Exploration of the Chemical Space 

      Kale, Bharat; Clyde, Austin; Sun, Maoyuan; Ramanathan, Arvind; Stevens, Rick; Papka, Michael E. (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Exploratory analysis of the chemical space is an important task in the field of cheminformatics. For example, in drug discovery research, chemists investigate sets of thousands of chemical compounds in order to identify ...
    • FlexEvent: going beyond Case-Centric Exploration and Analysis of Multivariate Event Sequences 

      Linden, Sanne van der; Wulterkens, Bernice M.; Gilst, Merel M. van; Overeem, Sebastiaan; Pul, Carola van; Vilanova, Anna; Elzen, Stef van den (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      In many domains, multivariate event sequence data is collected focused around an entity (the case). Typically, each event has multiple attributes, for example, in healthcare a patient has events such as hospitalization, ...