Now showing items 181-200 of 297

    • Quantitative Evaluation of Time-Dependent Multidimensional Projection Techniques 

      Vernier, Eduardo Faccin; Garcia, Rafael; Silva, Iron Prando da; Comba, João L. D.; Telea, Alexandru C. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Dimensionality reduction methods are an essential tool for multidimensional data analysis, and many interesting processes can be studied as time-dependent multivariate datasets. There are, however, few studies and proposals ...
    • VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors 

      Hopkins, Aspen K.; Correll, Michael; Satyanarayan, Arvind (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Chart construction errors, such as truncated axes or inexpressive visual encodings, can hinder reading a visualization, or worse, imply misleading facts about the underlying data. These errors can be caught by critical ...
    • Understanding the Design Space and Authoring Paradigms for Animated Data Graphics 

      Thompson, John R.; Liu, Zhicheng; Li, Wilmot; Stasko, John (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Creating expressive animated data graphics often requires designers to possess highly specialized programming skills. Alternatively, the use of direct manipulation tools is popular among animation designers, but these tools ...
    • Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks 

      Bäuerle, Alex; Neumann, Heiko; Ropinski, Timo (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Training data plays an essential role in modern applications of machine learning. However, gathering labeled training data is time-consuming. Therefore, labeling is often outsourced to less experienced users, or completely ...
    • Boxer: Interactive Comparison of Classifier Results 

      Gleicher, Michael; Barve, Aditya; Yu, Xinyi; Heimerl, Florian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Machine learning practitioners often compare the results of different classifiers to help select, diagnose and tune models. We present Boxer, a system to enable such comparison. Our system facilitates interactive exploration ...
    • PEAX: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning 

      Lekschas, Fritz; Peterson, Brant; Haehn, Daniel; Ma, Eric; Gehlenborg, Nils; Pfister, Hanspeter (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We present PEAX, a novel feature-based technique for interactive visual pattern search in sequential data, like time series or data mapped to a genome sequence. Visually searching for patterns by similarity is often ...
    • QUESTO: Interactive Construction of Objective Functions for Classification Tasks 

      Das, Subhajit; Xu, Shenyu; Gleicher, Michael; Chang, Remco; Endert, Alex (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Building effective classifiers requires providing the modeling algorithms with information about the training data and modeling goals in order to create a model that makes proper tradeoffs. Machine learning algorithms allow ...
    • A Visual Analytics Approach to Facilitate Crime Hotspot Analysis 

      Neto, José F. de Queiroz; Santos, Emanuele; Vidal, Creto Augusto; Ebert, David S. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Computer-based technology has played a significant role in crime prevention over the past 30 years, especially with the popularization of spatial databases and crime mapping systems. Police departments frequently use hotspot ...
    • Ocupado: Visualizing Location-Based Counts Over Time Across Buildings 

      Oppermann, Michael; Munzner, Tamara (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Understanding how spaces in buildings are being used is vital for optimizing space utilization, for improving resource allocation, and for the design of new facilities. We present a multi-year design study that resulted ...
    • Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones 

      Eichmann, Philipp; Edge, Darren; Evans, Nathan; Lee, Bongshin; Brehmer, Matthew; White, Christopher (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      People are becoming increasingly sophisticated in their ability to navigate information spaces using search, hyperlinks, and visualization. But, mobile phones preclude the use of multiple coordinated views that have proven ...
    • VA-TRAC: Geospatial Trajectory Analysis for Monitoring, Identification, and Verification in Fishing Vessel Operations 

      Storm-Furru, Syver; Bruckner, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      In order to ensure sustainability, fishing operations are governed by many rules and regulations that restrict the use of certain techniques and equipment, specify the species and size of fish that can be harvested, and ...
    • Reading Traces: Scalable Exploration in Elastic Visualizations of Cultural Heritage Data 

      Bludau, Mark-Jan; Brüggemann, Viktoria; Busch, Anna; Dörk, Marian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Through a design study, we develop an approach to data exploration that utilizes elastic visualizations designed to support varying degrees of detail and abstraction. Examining the notions of scalability and elasticity in ...
    • Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game 

      Agarwal, Shivam; Wallner, Günter; Beck, Fabian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Competition and collaboration form complex interaction patterns between the agents and objects involved. Only by understanding these interaction patterns, we can reveal the strategies the participating parties applied. In ...
    • DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning 

      Jaunet, Theo; Vuillemot, Romain; Wolf, Christian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We present DRLViz, a visual analytics interface to interpret the internal memory of an agent (e.g. a robot) trained using deep reinforcement learning. This memory is composed of large temporal vectors updated when the agent ...
    • MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior 

      Cakmak, Eren; Schäfer, Hanna; Buchmüller, Juri; Fuchs, Johannes; Schreck, Tobias; Jordan, Alex; Keim, Daniel A. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Domain experts for collective animal behavior analyze relationships between single animal movers and groups of animals over time and space to detect emergent group properties. A common way to interpret this type of data ...
    • Hairy Slices II: Depth Cues for Visualizing 3D Streamlines Through Cutting Planes 

      Stevens, Andrew H.; Ware, Colin; Butkiewicz, Thomas; Rogers, David; Abram, Greg (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Visualizing 3D vector fields is challenging because of occlusion problems and the difficulty of providing depth cues that adequately support the perception of direction of flow lines in 3D space. One of the depth cues that ...
    • Representative Isovalue Detection and Isosurface Segmentation Using Novel Isosurface Measures 

      Wang, Cuilan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Interval volume is the volume of the region between two isosurfaces. This paper proposes a novel measure, called VOA measure, that is computed based on interval volume and isosurface area. This measure represents the rate ...
    • Knowledge-Assisted Comparative Assessment of Breast Cancer using Dynamic Contrast-Enhanced Magnetic Resonance Imaging 

      Nie, Kai; Baltzer, Pascal; Preim, Bernhard; Mistelbauer, Gabriel (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Breast perfusion data are dynamic medical image data that depict perfusion characteristics of the investigated tissue. These data consist of a series of static datasets that are acquired at different time points and ...
    • CPU Ray Tracing of Tree-Based Adaptive Mesh Refinement Data 

      Wang, Feng; Marshak, Nathan; Usher, Will; Burstedde, Carsten; Knoll, Aaron; Heister, Timo; Johnson, Chris R. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Adaptive mesh refinement (AMR) techniques allow for representing a simulation's computation domain in an adaptive fashion. Although these techniques have found widespread adoption in high-performance computing simulations, ...
    • EuroVis 2020 CGF 39-3: Frontmatter 

      Gleicher, Michael; Viola, Ivan; Landesberger von Antburg, Tatiana (The Eurographics Association and John Wiley & Sons Ltd., 2020)