EuroVA: International Workshop on Visual Analytics: Recent submissions

Now showing items 21-40 of 190

    • Voyage Viewer: Empowering Human Mobility at a Global Scale 

      Loaiza, Isabella; South, Tobin; Sánchez, Germán; Chan, Serena; Yu, Alice; Montes, Felipe; Bahrami, Mohsen; Pentland, Alex (The Eurographics Association, 2022)
      The challenge of refugee relocation is fertile ground to pose a new direction in the quest for extended human intelligence: developing systems that leverage big data, and the power of social learning to provide personalized ...

    • Toward Disease Diagnosis Visual Support Bridging Classic and Precision Medicine 

      Palleschi, Alessia; Petti, Manuela; Tieri, Paolo; Angelini, Marco (The Eurographics Association, 2022)
      The traditional approach in medicine starts with investigating patients' symptoms to make a diagnosis. While with the advent of precision medicine, a diagnosis results from several factors that interact and need to be ...

    • A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics 

      Metz, Yannick; Schlegel, Udo; Seebacher, Daniel; El-Assady, Mennatallah; Keim, Daniel (The Eurographics Association, 2022)
      Multiple challenges hinder the application of reinforcement learning algorithms in experimental and real-world use cases even with recent successes in such areas. Such challenges occur at different stages of the development ...

    • Interactive Visual Explanation of Incremental Data Labeling 

      Beckmann, Raphael; Blaga, Cristian; El-Assady, Mennatallah; Zeppelzauer, Matthias; Bernard, Jürgen (The Eurographics Association, 2022)
      We present a visual analytics approach for the in-depth analysis and explanation of incremental machine learning processes that are based on data labeling. Our approach offers multiple perspectives to explain the process, ...

    • ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions 

      Haedecke, Elena; Mock, Michael; Akila, Maram (The Eurographics Association, 2022)
      We present ScrutinAI, a Visual Analytics approach to exploit semantic understanding for deep neural network (DNN) predictions analysis, focusing on models for object detection and semantic segmentation. Typical fields of ...

    • RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings 

      Schmid, Jenny; Cibulski, Lena; Hazwani, Ibrahim Al; Bernard, Jürgen (The Eurographics Association, 2022)
      Item rankings are useful when a decision needs to be made, especially if there are multiple attributes to be considered. However, existing tools either do not support both categorical and numerical attributes, require ...

    • EuroVa 2022: Frontmatter 

      Bernard, Jürgen; Angelini, Marco (The Eurographics Association, 2022)

    • Towards the Detection and Visual Analysis of COVID-19 Infection Clusters 

      Antweiler, Dario; Sessler, David; Ginzel, Sebastian; Kohlhammer, Jörn (The Eurographics Association, 2021)
      A major challenge for departments of public health (DPHs) in dealing with the ongoing COVID-19 pandemic is tracing contacts in exponentially growing SARS-CoV2 infection clusters. Prevention of further disease spread requires ...

    • Multi-resolution Analysis for Vector Plots of Time Series Data 

      Nguyen, Bao; Hewett, Rattikorn; Dang, Tommy (The Eurographics Association, 2021)
      Vector plots can directly visualize both temporal variation and spatial distribution, so it is interesting to use this type of plot for displaying multivariate time series. However, vector plots cannot reveal global temporal ...

    • LFPeers: Temporal Similarity Search in Covid-19 Data 

      Burmeister, Jan; Bernard, Jürgen; Kohlhammer, Jörn (The Eurographics Association, 2021)
      While there is a wide variety of visualizations and dashboards to help understand the data of the Covid-19 pandemic, hardly any of these support important analytical tasks, especially of temporal attributes. In this paper, ...

    • Rumble Flow++ Interactive Visual Analysis of Dota2 Encounters 

      Weixelbaum, Wilma; Matkovic, Kresimir (The Eurographics Association, 2021)
      In the last decade, the popularity of ESports has grown rapidly. The financial leader in the tournament scene is Dota2, a complex and strategic multiplayer game. Analysis and exploration of game data could lead to better ...

    • A Taxonomy of Attribute Scoring Functions 

      Schmid, Jenny; Bernard, Jürgen (The Eurographics Association, 2021)
      Shifting the analysis from items to the granularity of attributes is a promising approach to address complex decision-making problems. In this work, we study attribute scoring functions (ASFs), which transform values from ...

    • Customizable Coordination of Independent Visual Analytics Tools 

      Nonnemann, Lars; Hogräfer, Marius; Schumann, Heidrun; Urban, Bodo; Schulz, Hans-Jörg (The Eurographics Association, 2021)
      While it is common to use multiple independent analysis tools in combination, it is still cumbersome to carry out a cross-tool visual analysis. Some dedicated frameworks addressing this issue exist, yet in order to use ...

    • Lessons learned while supporting Cyber Situational Awareness 

      Blasilli, Graziano; Paoli, Emiliano De; Lenti, Simone; Picca, Sergio (The Eurographics Association, 2021)
      The increasing number of cyberattacks against critical infrastructures has pushed researchers to develop many Visual Analytics solutions to provide valid defensive approaches and improve the situational awareness of the ...

    • Immersive Analytics of Heterogeneous Biological Data Informed through Need-finding Interviews 

      Ripken, Christine; Tusk, Sebastian; Tominski, Christian (The Eurographics Association, 2021)
      The goal of this work is to improve existing biological analysis processes by means of immersive analytics. In a first step, we conducted need-finding interviews with 12 expert biologists to understand the limits of current ...

    • Talk2Hand: Knowledge Board Interaction in Augmented Reality Easing Analysis with Machine Learning Assistants 

      Hong, Yu-Lun; Watson, Benjamin; Thompson, Kenneth; Davis, Paul (The Eurographics Association, 2021)
      Analysts now often use machine learning (ML) assistants, but find them difficult to use, since most have little ML expertise. Talk2Hand improves the usability of ML assistants by supporting interaction with them using ...

    • Immersive 3D Visualization of Multi-Modal Brain Connectivity 

      Pester, Britta; Winke, Oliver; Ligges, Carolin; Dachselt, Raimund; Gumhold, Stefan (The Eurographics Association, 2021)
      In neuroscience, the investigation of connectivity between different brain regions suffers from the lack of adequate solutions for visualizing detected networks. One reason is the high number of dimensions that have to be ...

    • EuroVa 2021: Frontmatter 

      Bernard, Jürgen; Vrotsou, Katerina (The Eurographics Association, 2021)

    • Interactive Visualization of AI-based Speech Recognition Texts 

      Wu, Tsung Heng; Zhao, Ye; Amiruzzaman, Md (The Eurographics Association, 2020)
      Speech recognition technology has achieved impressive success recently with AI techniques of deep learning networks. Speechto- text tools are becoming prevalent in many social applications such as field surveys. However, ...

    • Visual Analysis for Hospital Infection Control using a RNN Model 

      Müller, Martin; Petzold, Markus; Wunderlich, Marcel; Baumgartl, Tom; Höhn, Markus; Eichel, Vanessa; Mutters, Nico T.; Scheithauer, Simone; Marschollek, Michael; Landesberger, Tatiana von (The Eurographics Association, 2020)
      Bacteria and viruses are transmitted among patients in the hospital. Infection control experts develop strategies for infection control. Currently, this is done mostly manually, which is time-consuming and error-prone. ...