Daniel A. Keim

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 213

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

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)
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)
Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady
Visual Explanations with Attributions and Counterfactuals on Time Series Classification. CoRR (2023)
Udo Schlegel, Daniel A. Keim
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions. CoRR (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)
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)
Juri F. Buchmüller, Udo Schlegel, Eren Cakmak, Evanthia Dimara, Daniel A. Keim
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations. CoRR (2020)
Matthias Kraus, Katrin Angerbauer, Juri Buchmüller, Daniel Schweitzer, Daniel A. Keim, Michael Sedlmair, Johannes Fuchs
Assessing 2D and 3D Heatmaps for Comparative Analysis: An Empirical Study. CHI (2020)
Austin P. Wright, Zijie J. Wang, Haekyu Park, Grace Guo, Fabian Sperrle, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Duen Horng Chau
A Comparative Analysis of Industry Human-AI Interaction Guidelines. CoRR (2020)
Michael Blumenschein, Luka J. Debbeler, Nadine C. Lages, Britta Renner, Daniel A. Keim, Mennatallah El-Assady
v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions. Comput. Graph. Forum 39 (3) (2020)
Eren Cakmak, Hanna Schäfer, Juri Buchmüller, Johannes Fuchs, Tobias Schreck, Alex Jordan, Daniel A. Keim
MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior. Comput. Graph. Forum 39 (3) (2020)
Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady
Visual Analytics of Conversational Dynamics. EuroVA@EuroVis (2019)
Astrik Jeitler, Alpin Türkoglu, Denis Makarov, Timo Jockers, Juri Buchmüller, Udo Schlegel, Daniel A. Keim
RescueMark: Visual Analytics of Social Media Data for Guiding Emergency Response in Disaster Situations: Award for Skillful Integration of Language Model. VAST (2019)
David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein
Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters. CoRR (2019)
Juri Buchmüller, Eren Cakmak, Natalia V. Andrienko, Gennady L. Andrienko, Jolle W. Jolles, Daniel A. Keim
Moving Together: Towards a Formalization of Collective Movement. EuroVA@EuroVis (2019)
Mennatallah El-Assady, Rebecca Kehlbeck, Christopher Collins, Daniel A. Keim, Oliver Deussen
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections. CoRR (2019)
Thomas Pollok, Matthias Kraus, Chengchao Qu, Matthias Miller, Tobias Moritz, Timon Urs Kilian, Daniel A. Keim, Wolfgang Jentner
Computer vision meets visual analytics: Enabling 4D crime scene investigation from image and video data. ICDP (2019)
Björn Sommer, Alexandra Diehl, Michael Aichem, Philipp Meschenmoser, Kim Rehberg, David Weber, Ying Zhang, Karsten Klein, Daniel A. Keim, Falk Schreiber
Tiled Stereoscopic 3D Display Wall - Concept, Applications and Evaluation. SD&A (2019)
Shixia Liu, Xiting Wang, Christopher Collins, Wenwen Dou, Fang-Xin Ou-Yang, Mennatallah El-Assady, Liu Jiang, Daniel A. Keim
Bridging Text Visualization and Mining: A Task-Driven Survey. IEEE Trans. Vis. Comput. Graph. 25 (7) (2019)
Christin Schätzle, Frederik L. Dennig, Michael Blumenschein, Daniel A. Keim, Miriam Butt
Visualizing Linguistic Change as Dimension Interactions. LChange@ACL (2019)
Mennatallah El-Assady, Fabian Sperrle, Oliver Deussen, Daniel A. Keim, Christopher Collins
Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Daniel Seebacher, Matthias Miller, Tom Polk, Johannes Fuchs, Daniel A. Keim
Visual Analytics of Volunteered Geographic Information: Detection and Investigation of Urban Heat Islands. IEEE Computer Graphics and Applications 39 (5) (2019)
David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, Michael Blumenschein
Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters. IEEE VIS (Short Papers) (2019)
Manuel Stein, Halldór Janetzko, Tobias Schreck, Daniel A. Keim
Tackling Similarity Search for Soccer Match Analysis: Multimodal Distance Measure and Interactive Query Definition. IEEE Computer Graphics and Applications 39 (5) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniel A. Keim