Daniel A. Keim

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 231

Top Venues

CoRR

IEEE Trans. Vis. Comput. Graph.

Comput. Graph. Forum

VAST

Ludwig Maximilian University of Munich, Germany (PHD)

Education History

Ludwig Maximilian University of Munich, Germany

PHD

Publications

Lucas Joos, Daniel A. Keim, Maximilian T. Fischer
Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews. CoRR (2024)
Maximilian T. Fischer, Yannick Metz, Lucas Joos, Matthias Miller, Daniel A. Keim
MULTI-CASE: A Transformer-based Ethics-aware Multimodal Investigative Intelligence Framework. CoRR (2024)
Nils Rodrigues, Frederik L. Dennig, Vincent Brandt, Daniel A. Keim, Daniel Weiskopf
Comparative Evaluation of Animated Scatter Plot Transitions. CoRR (2024)
Mark-Matthias Zymla, Raphael Buchmüller, Miriam Butt, Daniel A. Keim
Deciphering Personal Argument Styles - A Comprehensive Approach to Analyzing Linguistic Properties of Argument Preferences. RATIO (2024)
Frederik L. Dennig, Matthias Miller, Daniel A. Keim, Mennatallah El-Assady
FS/DS: A Theoretical Framework for the Dual Analysis of Feature Space and Data Space. IEEE Trans. Vis. Comput. Graph. 30 (8) (2024)
Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim
Automorphism Faithfulness Metrics for Symmetric Graph Drawings. IEEE Trans. Vis. Comput. Graph. 30 (7) (2024)
Shijun Cai, Seok-Hee Hong, Amyra Meidiana, Peter Eades, Daniel A. Keim
Cluster-Faithful Graph Visualization: New Metrics and Algorithms. PacificVis (2024)
Matthias Miller, Daniel Fürst, Maximilian T. Fischer, Hanna Hauptmann, Daniel A. Keim, Mennatallah El-Assady
MelodyVis: Visual Analytics for Melodic Patterns in Sheet Music. CoRR (2024)
Julius Rauscher, Raphael Buchmüller, Daniel A. Keim, Matthias Miller
SkiVis: Visual Exploration and Route Planning in Ski Resorts. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Johannes Fuchs, Frederik L. Dennig, Maria-Viktoria Heinle, Daniel A. Keim, Sara Di Bartolomeo
Exploring the Design Space of BioFabric Visualization for Multivariate Network Analysis. Comput. Graph. Forum 43 (3) (2024)
Mohsen Jenadeleh, Frederik L. Dennig, René Cutura, Quynh Quang Ngo, Daniel A. Keim, Michael Sedlmair, Dietmar Saupe
An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling. QoMEX (2024)
Yannick Metz, Dennis Ackermann, Daniel A. Keim, Maximilian T. Fischer
Interactive Public Transport Infrastructure Analysis through Mobility Profiles: Making the Mobility Transition Transparent. CoRR (2024)
Nils Rodrigues, Frederik L. Dennig, Vincent Brandt, Daniel A. Keim, Daniel Weiskopf
Comparative Evaluation of Animated Scatter Plot Transitions. IEEE Trans. Vis. Comput. Graph. 30 (6) (2024)
Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova, Tobias Stähle, Daniel A. Keim, Oliver Deussen, Mennatallah El-Assady
generAItor: Tree-in-the-Loop Text Generation for Language Model Explainability and Adaptation. CoRR (2024)
Lucas Joos, Bastian Jäckl, Daniel A. Keim, Maximilian T. Fischer, Ladislav Peska, Jakub Lokoc
Known-Item Search in Video: An Eye Tracking-Based Study. ICMR (2024)
Frederik L. Dennig, Lucas Joos, Patrick Paetzold, Daniela Blumberg, Oliver Deussen, Daniel A. Keim, Maximilian T. Fischer
Toward the Categorical Data Map. CoRR (2024)
Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova, Tobias Stähle, Daniel A. Keim, Oliver Deussen, Mennatallah El-Assady
-generAItor: Tree-in-the-loop Text Generation for Language Model Explainability and Adaptation. ACM Trans. Interact. Intell. Syst. 14 (2) (2024)
Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady
Visual Explanations with Attributions and Counterfactuals on Time Series Classification. CoRR (2023)
Yannick Metz, Eugene Bykovets, Lucas Joos, Daniel A. Keim, Mennatallah El-Assady
VISITOR: Visual Interactive State Sequence Exploration for Reinforcement Learning. Comput. Graph. Forum 42 (3) (2023)
Udo Schlegel, Daniel A. Keim
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions. CoRR (2023)
Udo Schlegel, Daniel A. Keim
Interactive Dense Pixel Visualizations for Time Series and Model Attribution Explanations. MLVis@EuroVis (2023)
Yannick Metz, David Lindner, Raphaël Baur, Daniel A. Keim, Mennatallah El-Assady
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback. CoRR (2023)
Lucas Joos, Maximilian T. Fischer, Daniel A. Keim, Johannes Fuchs
Aesthetic-Driven Navigation for Node-Link Diagrams in VR. SUI (2023)
Wolfgang Jentner, Giuliana Lindholz, Hanna Hauptmann, Mennatallah El-Assady, Kwan-Liu Ma, Daniel A. Keim
Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data. ACM Trans. Interact. Intell. Syst. 13 (2) (2023)
Daniel Seebacher, Tom Polk, Halldor Janetzko, Daniel A. Keim, Tobias Schreck, Manuel Stein
Investigating the Sketchplan: A Novel Way of Identifying Tactical Behavior in Massive Soccer Datasets. IEEE Trans. Vis. Comput. Graph. 29 (4) (2023)
Julius Rauscher, Raphael Buchmüller, Daniel A. Keim, Matthias Miller
SkiVis: Visual Exploration and Route Planning in Ski Resorts. CoRR (2023)
Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova, Tobias Stähle, Daniel A. Keim, Oliver Deussen, Andreas Spitz, Mennatallah El-Assady
Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges. CoRR (2023)
Aoyu Wu, Dazhen Deng, Min Chen, Shixia Liu, Daniel A. Keim, Ross Maciejewski, Silvia Miksch, Hendrik Strobelt, Fernanda B. Viégas, Martin Wattenberg
Grand Challenges in Visual Analytics Applications. IEEE Computer Graphics and Applications 43 (5) (2023)
Udo Schlegel, Daniel A. Keim
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI. xAI (3) (2023)
Udo Schlegel, Daniel A. Keim
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI. CoRR (2023)
Lucas Joos, Karsten Klein, Maximilian T. Fischer, Frederik L. Dennig, Daniel A. Keim, Michael Krone
Exploring Trajectory Data in Augmented Reality: A Comparative Study of Interaction Modalities. ISMAR (2023)
Richard Brath, Daniel A. Keim, Johannes Knittel, Shimei Pan, Pia Sommerauer, Hendrik Strobelt
The Role of Interactive Visualization in Explaining (Large) NLP Models: from Data to Inference. CoRR (2023)
Lucas Joos, Sabrina Jaeger-Honz, Falk Schreiber, Daniel A. Keim, Karsten Klein
Visual Comparison of Networks in VR. IEEE Trans. Vis. Comput. Graph. 28 (11) (2022)
Matthias Miller, Julius Rauscher, Daniel A. Keim, Mennatallah El-Assady
CorpusVis: Visual Analysis of Digital Sheet Music Collections. CoRR (2022)
Matthias Kraus, Johannes Fuchs, Björn Sommer, Karsten Klein, Ulrich Engelke, Daniel A. Keim, Falk Schreiber
Immersive Analytics with Abstract 3D Visualizations: A Survey. Comput. Graph. Forum 41 (1) (2022)
Polo Chau, Alex Endert, Daniel A. Keim, Daniela Oelke
Interactive Visualization for Fostering Trust in ML (Dagstuhl Seminar 22351). Dagstuhl Reports 12 (8) (2022)
Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann
How to Enable Uncertainty Estimation in Proximal Policy Optimization. CoRR (2022)
Rita Sevastjanova, Mennatallah El-Assady, Adam Bradley, Christopher Collins, Miriam Butt, Daniel A. Keim
VisInReport: Complementing Visual Discourse Analytics Through Personalized Insight Reports. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Eren Cakmak, Johannes Fuchs, Dominik Jäckle, Tobias Schreck, Ulrik Brandes, Daniel A. Keim
Motif-Based Visual Analysis of Dynamic Networks. CoRR (2022)
Udo Schlegel, Samuel Schiegg, Daniel A. Keim
ViNNPruner: Visual Interactive Pruning for Deep Learning. CoRR (2022)
Maximilian T. Fischer, Simon David Hirsbrunner, Wolfgang Jentner, Matthias Miller, Daniel A. Keim, Paula Helm
Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications. CoRR (2022)
Matthias Miller, Daniel Fürst, Hanna Hauptmann, Daniel A. Keim, Mennatallah El-Assady
Augmenting Digital Sheet Music through Visual Analytics. Comput. Graph. Forum 41 (1) (2022)
Julius Rauscher, Matthias Miller, Daniel A. Keim
Visual Exploration of Preference-based Routes in Ski Resorts. EuroVis (Posters) (2022)
Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann
BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning. CoRR (2022)
Dirk Streeb, Yannick Metz, Udo Schlegel, Bruno Schneider, Mennatallah El-Assady, Hansjörg Neth, Min Chen, Daniel A. Keim
Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers. IEEE Trans. Vis. Comput. Graph. 28 (9) (2022)
Quynh Quang Ngo, Frederik L. Dennig, Daniel A. Keim, Michael Sedlmair
Machine learning meets visualization - Experiences and lessons learned. it Inf. Technol. 64 (4-5) (2022)
Udo Schlegel, Samuel Schiegg, Daniel A. Keim
ViNNPruner: Visual Interactive Pruning for Deep Learning. MLVis@EuroVis (2022)
Yannick Metz, Udo Schlegel, Daniel Seebacher, Mennatallah El-Assady, Daniel A. Keim
A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics. EuroVA@EuroVis (2022)
Maximilian T. Fischer, Simon David Hirsbrunner, Wolfgang Jentner, Matthias Miller, Daniel A. Keim, Paula Helm
Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications. FAccT (2022)
Matthias Miller, Julius Rauscher, Daniel A. Keim, Mennatallah El-Assady
CorpusVis: Visual Analysis of Digital Sheet Music Collections. Comput. Graph. Forum 41 (3) (2022)
Eren Cakmak, Dominik Jäckle, Tobias Schreck, Daniel A. Keim, Johannes Fuchs
Multiscale Visualization: A Structured Literature Analysis. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady
CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling. Comput. Graph. Forum 40 (3) (2021)
Fabian Sperrle, Hanna Schäfer, Daniel A. Keim, Mennatallah El-Assady
Learning Contextualized User Preferences for Co-Adaptive Guidance in Mixed-Initiative Topic Model Refinement. Comput. Graph. Forum 40 (3) (2021)
Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Rita Borgo, Duen Horng Chau, Alex Endert, Daniel A. Keim
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning. Comput. Graph. Forum 40 (3) (2021)
Matthias Kraus, Karsten Klein, Johannes Fuchs, Daniel A. Keim, Falk Schreiber, Michael Sedlmair, Theresa-Marie Rhyne
The Value of Immersive Visualization. IEEE Computer Graphics and Applications 41 (4) (2021)
Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady
CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling. CoRR (2021)
Daniel Seebacher, Johannes Häußler, Michael Hundt, Manuel Stein, Hannes Müller, Ulrich Engelke, Daniel A. Keim
Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species. IEEE Trans. Big Data 7 (3) (2021)
Frederik L. Dennig, Eren Cakmak, Henrik Plate, Daniel A. Keim
VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure. CoRR (2021)
Thilo Spinner, Udo Schlegel, Martin Schall, Fabian Sperrle, Rita Sevastjanova, Beatrice Gobbo, Julius Rauscher, Mennatallah El-Assady, Daniel A. Keim
Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual Exploration. EDBT/ICDT Workshops (2021)
Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. PKDD/ECML Workshops (1) (2021)
Maximilian T. Fischer, Daniel A. Keim, Manuel Stein
Video-based Analysis of Soccer Matches. CoRR (2021)
Bruno Schneider, Dominik Jäckle, Florian Stoffel, Alexandra Diehl, Johannes Fuchs, Daniel A. Keim
Integrating Data and Model Space in Ensemble Learning by Visual Analytics. IEEE Trans. Big Data 7 (3) (2021)
Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring
Visual Analytics for Temporal Hypergraph Model Exploration. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Fabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel A. Keim, Mennatallah El-Assady
Co-adaptive visual data analysis and guidance processes. Comput. Graph. 100 (2021)
Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Udo Schlegel, Daniel A. Keim
Time Series Model Attribution Visualizations as Explanations. CoRR (2021)
Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk, Theresa-Marie Rhyne
The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41 (6) (2021)
Dirk Streeb, Mennatallah El-Assady, Daniel A. Keim, Min Chen
Why Visualize? Untangling a Large Network of Arguments. IEEE Trans. Vis. Comput. Graph. 27 (3) (2021)
Maximilian T. Fischer, Frederik L. Dennig, Daniel Seebacher, Daniel A. Keim, Mennatallah El-Assady
Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers. CoRR (2021)
Dirk Streeb, Mennatallah El-Assady, Daniel A. Keim, Min Chen, André Stork, Rahul C. Basole
Why Visualize? Arguments for Visual Support in Decision Making. IEEE Computer Graphics and Applications 41 (2) (2021)
Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. CoRR (2021)
Eren Cakmak, Manuel Plank, Daniel S. Calovi, Alex Jordan, Daniel A. Keim
Spatio-temporal clustering benchmark for collective animal behavior. HANIMOB@SIGSPATIAL (2021)
Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara
SpatialRugs: A compact visualization of space and time for analyzing collective movement data. Comput. Graph. 101 (2021)
Frederik L. Dennig, Maximilian T. Fischer, Michael Blumenschein, Johannes Fuchs, Daniel A. Keim, Evanthia Dimara
ParSetgnostics: Quality Metrics for Parallel Sets. Comput. Graph. Forum 40 (3) (2021)
Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher
Towards a Survey on Static and Dynamic Hypergraph Visualizations. IEEE VIS (Short Papers) (2021)
Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher
Towards a Survey on Static and Dynamic Hypergraph Visualizations. CoRR (2021)
Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady
Visual Analytics of Conversational Dynamics. CoRR (2021)
Frederik L. Dennig, Eren Cakmak, Henrik Plate, Daniel A. Keim
VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure. VizSec (2021)
Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks. CoRR (2020)
Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Duen Horng Chau, Alex Endert, Daniel A. Keim
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations. CoRR (2020)
Daniela Oelke, Daniel A. Keim, Polo Chau, Alex Endert
Interactive Visualization for Fostering Trust in AI (Dagstuhl Seminar 20382). Dagstuhl Reports 10 (4) (2020)
Fabian Sperrle, Astrik Jeitler, Jürgen Bernard, Daniel A. Keim, Mennatallah El-Assady
Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics. EuroVA@Eurographics/EuroVis (2020)
Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales. CoRR (2020)
Amyra Meidiana, Seok-Hee Hong, Peter Eades, Daniel A. Keim
Quality Metrics for Symmetric Graph Drawings. PacificVis (2020)
Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring
Visual Analytics for Temporal Hypergraph Model Exploration. CoRR (2020)
Matthias Kraus, Niklas Weiler, Daniela Oelke, Johannes Kehrer, Daniel A. Keim, Johannes Fuchs
The Impact of Immersion on Cluster Identification Tasks. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Johannes Fuchs, Petra Isenberg, Anastasia Bezerianos, Matthias Miller, Daniel A. Keim, Beatriz Sousa Santos, Ginger Alford
Teaching Clustering Algorithms With EduClust: Experience Report and Future Directions. IEEE Computer Graphics and Applications 40 (2) (2020)
Udo Schlegel, Eren Cakmak, Hiba Arnout, Mennatallah El-Assady, Daniela Oelke, Daniel A. Keim
Towards visual debugging for multi-target time series classification. IUI (2020)
Eren Cakmak, Udo Schlegel, Dominik Jäckle, Daniel A. Keim, Tobias Schreck
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs. CoRR (2020)
Matthias Kraus, Hanna Schäfer, Philipp Meschenmoser, Daniel Schweitzer, Daniel A. Keim, Michael Sedlmair, Johannes Fuchs
A Comparative Study of Orientation Support Tools in Virtual Reality Environments with Virtual Teleportation. ISMAR (2020)
Udo Schlegel, Eren Cakmak, Daniel A. Keim
ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods. MLVis@Eurographics/EuroVis (2020)
Daniel Fürst, Matthias Miller, Daniel A. Keim, Alexandra Bonnici, Hanna Schäfer, Mennatallah El-Assady
Augmenting Sheet Music with Rhythmic Fingerprints. CoRR (2020)
Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins, Daniel A. Keim, Oliver Deussen
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Bruno Schneider, Daniel A. Keim, Mennatallah El-Assady
DataShiftExplorer: Visualizing and Comparing Change in Multidimensional Data for Supervised Learning. VISIGRAPP (3: IVAPP) (2020)
Michael Blumenschein, Xuan Zhang, David Pomerenke, Daniel A. Keim, Johannes Fuchs
Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates. Comput. Graph. Forum 39 (3) (2020)
Eren Cakmak, Dominik Jäckle, Tobias Schreck, Daniel A. Keim
dg2pix: Pixel-Based Visual Analysis of Dynamic Graphs. CoRR (2020)
Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Daniel A. Keim, Evanthia Dimara
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations. EuroVA@Eurographics/EuroVis (2020)
Alexandra Diehl, Matthias Kraus, Alfie Abdul-Rahman, Mennatallah El-Assady, Benjamin Bach, Robert S. Laramee, Daniel A. Keim, Min Chen
Studying Visualization Guidelines According to Grounded Theory. CoRR (2020)
Matthias Kraus, Thomas Pollok, Matthias Miller, Timon Urs Kilian, Tobias Moritz, Daniel Schweitzer, Jürgen Beyerer, Daniel A. Keim, Chengchao Qu, Wolfgang Jentner
Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene Reconstruction. Sensors 20 (18) (2020)

Daniel A. Keim.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Daniel A. Keim