Now showing items 21-40 of 45

    • CorpusVis: Visual Analysis of Digital Sheet Music Collections 

      Miller, Matthias; Rauscher, Julius; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Manually investigating sheet music collections is challenging for music analysts due to the magnitude and complexity of underlying features, structures, and contextual information. However, applying sophisticated algorithmic ...
    • LMFingerprints: Visual Explanations of Language Model Embedding Spaces through Layerwise Contextualization Scores 

      Sevastjanova, Rita; Kalouli, Aikaterini-Lida; Beck, Christin; Hauptmann, Hanna; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Language models, such as BERT, construct multiple, contextualized embeddings for each word occurrence in a corpus. Understanding how the contextualization propagates through the model's layers is crucial for deciding which ...
    • Exploring Multivariate Event Sequences with an Interactive Similarity Builder 

      Xu, Shaobin; Sun, Minghui; Zhang, Zhengtai; Xue, Hao (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Similarity-based exploration is an effective method in knowledge discovery. Faced with multivariate event sequence data (MVES), developing a satisfactory similarity measurement for a specific question is challenging because ...
    • Optimizing Grid Layouts for Level-of-Detail Exploration of Large Data Collections 

      Frey, Steffen (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      This paper introduces an optimization approach for generating grid layouts from large data collections such that they are amenable to level-of-detail presentation and exploration. Classic (flat) grid layouts visually do ...
    • Six Methods for Transforming Layered Hypergraphs to Apply Layered Graph Layout Algorithms 

      Bartolomeo, Sara Di; Pister, Alexis; Buono, Paolo; Plaisant, Catherine; Dunne, Cody; Fekete, Jean-Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Hypergraphs are a generalization of graphs in which edges (hyperedges) can connect more than two vertices-as opposed to ordinary graphs where edges involve only two vertices. Hypergraphs are a fairly common data structure ...
    • Where did my Lines go? Visualizing Missing Data in Parallel Coordinates 

      Bäuerle, Alex; Onzenoodt, Christian van; Kinderen, Simon der; Westberg, Jimmy Johansson; Jönsson, Daniel; Ropinski, Timo (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We evaluate visualization concepts to represent missing values in parallel coordinates. We focus on the trade-off between the ability to perceive missing values and the concept's impact on common tasks. For this purpose, ...
    • Urban Rhapsody: Large-scale Exploration of Urban Soundscapes 

      Rulff, João; Miranda, Fabio; Hosseini, Maryam; Lage, Marcos; Cartwright, Mark; Dove, Graham; Bello, Juan; Silva, Claudio T. (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Noise is one of the primary quality-of-life issues in urban environments. In addition to annoyance, noise negatively impacts public health and educational performance. While low-cost sensors can be deployed to monitor ...
    • AirLens: Multi-Level Visual Exploration of Air Quality Evolution in Urban Agglomerations 

      Qu, Dezhan; Lv, Cheng; Lin, Yiming; Zhang, Huijie; Wang, Rong (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      The precise prevention and control of air pollution is a great challenge faced by environmental experts in recent years. Understanding the air quality evolution in the urban agglomeration is important for coordinated control ...
    • LineageD: An Interactive Visual System for Plant Cell Lineage Assignments based on Correctable Machine Learning 

      Hong, Jiayi; Trubuil, Alain; Isenberg, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We describe LineageD-a hybrid web-based system to predict, visualize, and interactively adjust plant embryo cell lineages. Currently, plant biologists explore the development of an embryo and its hierarchical cell lineage ...
    • Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures 

      Troidl, Jakob; Cali, Corrado; Gröller, Eduard; Pfister, Hanspeter; Hadwiger, Markus; Beyer, Johanna (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      High-resolution electron microscopy imaging allows neuroscientists to reconstruct not just entire cells but individual cell substructures (i.e., cell organelles) as well. Based on these data, scientists hope to get a better ...
    • HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters 

      Appleby, Gabriel; Espadoto, Mateus; Chen, Rui; Goree, Samuel; Telea, Alexandru C.; Anderson, Erik W.; Chang, Remco (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Projection algorithms such as t-SNE or UMAP are useful for the visualization of high dimensional data, but depend on hyperparameters which must be tuned carefully. Unfortunately, iteratively recomputing projections to find ...
    • Visual Parameter Selection for Spatial Blind Source Separation 

      Piccolotto, Nikolaus; Bögl, Markus; Muehlmann, Christoph; Nordhausen, Klaus; Filzmoser, Peter; Miksch, Silvia (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Analysis of spatial multivariate data, i.e., measurements at irregularly-spaced locations, is a challenging topic in visualization and statistics alike. Such data are integral to many domains, e.g., indicators of valuable ...
    • Leveraging Analysis History for Improved In Situ Visualization Recommendation 

      Epperson, Will; Lee, Doris Jung-Lin; Wang, Leijie; Agarwal, Kunal; Parameswaran, Aditya G.; Moritz, Dominik; Perer, Adam (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Existing visualization recommendation systems commonly rely on a single snapshot of a dataset to suggest visualizations to users. However, exploratory data analysis involves a series of related interactions with a dataset ...
    • Reusing Interactive Analysis Workflows 

      Gadhave, Kiran; Cutler, Zach; Lex, Alexander (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Interactive visual analysis has many advantages, but an important disadvantage is that analysis processes and workflows cannot be easily stored and reused. This is in contrast to code-based analysis workflows, which can ...
    • Infographics Wizard: Flexible Infographics Authoring and Design Exploration 

      Tyagi, Anjul; Zhao, Jian; Patel, Pushkar; Khurana, Swasti; Mueller, Klaus (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Infographics are an aesthetic visual representation of information following specific design principles of human perception. Designing infographics can be a tedious process for non-experts and time-consuming, even for ...
    • SurfNet: Learning Surface Representations via Graph Convolutional Network 

      Han, Jun; Wang, Chaoli (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      For scientific visualization applications, understanding the structure of a single surface (e.g., stream surface, isosurface) and selecting representative surfaces play a crucial role. In response, we propose SurfNet, a ...
    • ModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selection 

      Meng, Linhao; Elzen, Stef van den; Vilanova, Anna (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Model comparison is an important process to facilitate model diagnosis, improvement, and selection when multiple models are developed for a classification task. It involves careful comparison concerning model performance ...
    • Interactively Assessing Disentanglement in GANs 

      Jeong, Sangwon; Liu, Shusen; Berger, Matthew (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Generative adversarial networks (GAN) have witnessed tremendous growth in recent years, demonstrating wide applicability in many domains. However, GANs remain notoriously difficult for people to interpret, particularly for ...
    • Seeing Through Sounds: Mapping Auditory Dimensions to Data and Charts for People with Visual Impairments 

      Wang, Ruobin; Jung, Crescentia; Kim, Yea-Seul (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Sonification can be an effective medium for people with visual impairments to understand data in visualizations. However, there are no universal design principles that apply to various charts that encode different data ...
    • Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response 

      Sondag, Max; Turkay, Cagatay; Xu, Kai; Matthews, Louise; Mohr, Sibylle; Archambault, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Epidemiologists use individual-based models to (a) simulate disease spread over dynamic contact networks and (b) to investigate strategies to control the outbreak. These model simulations generate complex 'infection maps' ...