Browsing by Author "Keim, Daniel"

Now showing items 1-7 of 7

    • 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 ...

    • EduClust - A Visualization Application for Teaching Clustering Algorithms 

      Fuchs, Johannes; Isenberg, Petra; Bezerianos, Anastasia; Miller, Matthias; Keim, Daniel (The Eurographics Association, 2019)
      We present EduClust, a visualization application for teaching clustering algorithms. EduClust is an online application that combines visualizations, interactions, and animations to facilitate the understanding and teaching ...

    • Immersive Analytics with Abstract 3D Visualizations: A Survey 

      Kraus, Matthias; Fuchs, Johannes; Sommer, Björn; Klein, Karsten; Engelke, Ulrich; Keim, Daniel; Schreiber, Falk (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2022)
      After a long period of scepticism, more and more publications describe basic research but also practical approaches to how abstract data can be presented in immersive environments for effective and efficient data understanding. ...

    • Interactive Dense Pixel Visualizations for Time Series and Model Attribution Explanations 

      Schlegel, Udo; Keim, Daniel (The Eurographics Association, 2023)
      The field of Explainable Artificial Intelligence (XAI) for Deep Neural Network models develops significantly, offering numerous techniques to extract explanations from models. However, evaluating explanations is often not ...

    • Learning Contextualized User Preferences for Co-Adaptive Guidance in Mixed-Initiative Topic Model Refinement 

      Sperrle, Fabian; Schäfer, Hanna; Keim, Daniel; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Mixed-initiative visual analytics systems support collaborative human-machine decision-making processes. However, many multiobjective optimization tasks, such as topic model refinement, are highly subjective and ...

    • A Survey of Human-Centered Evaluations in Human-Centered Machine Learning 

      Sperrle, Fabian; El-Assady, Mennatallah; Guo, Grace; Borgo, Rita; Chau, Duen Horng; Endert, Alex; Keim, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Visual analytics systems integrate interactive visualizations and machine learning to enable expert users to solve complex analysis tasks. Applications combine techniques from various fields of research and are consequently ...

    • 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 ...