Browsing by Author "El-Assady, Mennatallah"

Now showing items 1-16 of 16

    • CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling 

      Fischer, Maximilian T.; Seebacher, Daniel; Sevastjanova, Rita; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Communication consists of both meta-information as well as content. Currently, the automated analysis of such data often focuses either on the network aspects via social network analysis or on the content, utilizing methods ...

    • 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 ...

    • Doom or Deliciousness: Challenges and Opportunities for Visualization in the Age of Generative Models 

      Schetinger, Victor; Bartolomeo, Sara Di; El-Assady, Mennatallah; McNutt, Andrew; Miller, Matthias; Passos, João Paulo Apolinário; Adams, Jane L. (The Eurographics Association and John Wiley & Sons Ltd., 2023)
      Generative text-to-image models (as exemplified by DALL-E, MidJourney, and Stable Diffusion) have recently made enormous technological leaps, demonstrating impressive results in many graphical domains-from logo design to ...

    • EuroVa 2023: Frontmatter 

      Angelini, Marco; El-Assady, Mennatallah (The Eurographics Association, 2023)

    • The Future of Interactive Data Analysis and Visualization 

      Bernard, Jürgen; El-Assady, Mennatallah (The Eurographics Association, 2023)
      The interactive data analysis and visualization (VIS) community has prospered for over thirty years. Generation after generation, the community has evolved its understanding of research problems and, along the way, contributed ...

    • How Effective are Uni- and Multivariate Typographic Encodings? Studying the Usage of FontWeight, Oblique Angle, and Spacing 

      Bäuerle, Andreas; Brath, Richard; El-Assady, Mennatallah (The Eurographics Association, 2022)
      Text is one of the most commonly used ways to transmit information. It is widely used in various visualizations and determines our understanding of the presented content. The information density of text can be enhanced by ...

    • Interaction Tasks for Explainable Recommender Systems 

      Al-Hazwani, Ibrahim; Alahmadi, Turki; Wardatzky, Kathrin; Inel, Oana; El-Assady, Mennatallah; Bernard, Jürgen (The Eurographics Association, 2023)
      In the modern web experience, users interact with various types of recommender systems. In this literature study, we investigate the role of interaction in explainable recommender systems using 27 relevant papers from ...

    • Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics 

      Sperrle, Fabian; Jeitler, Astrik; Bernard, Jürgen; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association, 2020)
      Guidance processes in visual analytics applications often lack adaptivity. In this position paper, we contribute the concept of co-adaptive guidance, building on the principles of initiation and adaptation. We argue that ...

    • 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 ...

    • 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 ...

    • 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 ...

    • A Typology of Guidance Tasks in Mixed-Initiative Visual Analytics Environments 

      Pérez-Messina, Ignacio; Ceneda, Davide; El-Assady, Mennatallah; Miksch, Silvia; Sperrle, Fabian (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Guidance has been proposed as a conceptual framework to understand how mixed-initiative visual analytics approaches can actively support users as they solve analytical tasks. While user tasks received a fair share of ...

    • v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions 

      Blumenschein, Michael; Debbeler, Luka J.; Lages, Nadine C.; Renner, Britta; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Comparing data distributions is a core focus in descriptive statistics, and part of most data analysis processes across disciplines. In particular, comparing distributions entails numerous tasks, ranging from identifying ...

    • 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 ...

    • Visual Analytics of Conversational Dynamics 

      Seebacher, Daniel; Fischer, Maximilian T.; Sevastjanova, Rita; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association, 2019)
      Large-scale interaction networks of human communication are often modeled as complex graph structures, obscuring temporal patterns within individual conversations. To facilitate the understanding of such conversational ...

    • Why am I reading this? Explaining Personalized News Recommender Systems 

      Arnórsson, Sverrir; Abeillon, Florian; Al-Hazwani, Ibrahim; Bernard, Jürgen; Hauptmann, Hanna; El-Assady, Mennatallah (The Eurographics Association, 2023)
      Social media and online platforms significantly impact what millions of people get exposed to daily, mainly through recommended content. Hence, recommendation processes have to benefit individuals and society. With this ...