Now showing items 321-340 of 2371

    • PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback 

      Yu, Yuncong; Kruyff, Dylan; Jiao, Jiao; Becker, Tim; Behrisch, Michael (The Eurographics Association, 2022)
      We present PSEUDo, a visual pattern retrieval tool for multivariate time series. It aims to overcome the uneconomic (re- )training with deep learning-based methods. Very high-dimensional time series emerge on an unprecedented ...
    • ANARI: ANAlytic Rendering Interface 

      Griffin, Kevin; Amstutz, Jefferson; DeMarle, Dave; Günther, Johannes; Progsch, Jakob; Sherman, William; Stone, John E.; Usher, Will; Kooten, Kees van (The Eurographics Association, 2022)
      The ANARI API enables users to build the description of a scene to generate imagery, rather than specifying the details of the rendering process, providing simplified visualization application development and cross-vendor ...
    • Toward an Interaction-Driven Framework for Modeling Big Data Visualization Systems 

      Benvenuti, Dario; Fiordeponti, Giovanni; Cheng, Hao; Catarci, Tiziana; Fekete, Jean-Daniel; Santucci, Giuseppe; Angelini, Marco; Battle, Leilani (The Eurographics Association, 2022)
      Designing big data visualization applications is challenging due to their complex yet isolated development. One of the most common issues is an increase in latency that can be experienced while interacting with the system. ...
    • Visualizing Prediction Provenance in Regression Random Forests 

      Médoc, Nicolas; Ciorna, Vasile; Petry, Frank; Ghoniem, Mohammad (The Eurographics Association, 2022)
      Random forest models are widely used in many application domains due to their performance and the fact that their constituent decision trees carry clear decision rules. Yet, the provenance of the predictions made by an ...
    • Context Specific Visualizations on Smartwatches 

      Islam, Alaul; Blascheck, Tanja; Isenberg, Petra (The Eurographics Association, 2022)
      We present an analysis of the results of a full-day context-specific ideation exercise for smartwatch visualizations. Participants of the exercise created 34 sketches during a sightseeing activity. Our analysis of these ...
    • Visual Exploration of Preference-based Routes in Ski Resorts 

      Rauscher, Julius; Miller, Matthias; Keim, Daniel A. (The Eurographics Association, 2022)
      Ski resorts exhibit a variety of available pistes and lifts, to which every skier has intrinsic preferences. While novices tend to favor easy pistes, experts might opt for more advanced pistes. In large resorts, the vast ...
    • Accurate Molecular Atom Selection in VR 

      Molina, Elena; Vázquez, Pere-Pau (The Eurographics Association, 2022)
      Accurate selection in cluttered scenes is complex because a high amount of precision is required. In Virtual Reality Environments, it is even worse, because it is more difficult for us to point a small object with our arms ...
    • Using Data Comics to Enhance Visualization Literacy 

      Boucher, Magdalena; Stoiber, Christina; Aigner, Wolfgang (The Eurographics Association, 2022)
      Visualization Literacy as a skill is becoming important, as growing amounts of data require complex ways of visualizing and interpreting them. Yet, it is hardly taught during general education, and not many resources ...
    • Situated Visualization in Motion for Video Games 

      Bucchieri, Federica; Yao, Lijie; Isenberg, Petra (The Eurographics Association, 2022)
      We contribute a systematic review of situated visualizations in motion in the context of video games. Video games produce rich dynamic datasets during gameplay that are often visualized to help players succeed in a game. ...
    • 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 ...