Daniel Seebacher

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 35

Top Topics

Big Data Analytics

Visual Analytics

Effective Retrieval

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

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)
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, 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)
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)
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, 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)
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)
Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. CoRR (2021)
Ivona Ivkovic-Kihic, Daniel Seebacher, Manuel Stein, Tobias Schreck, Reinhold Preiner
Visual Analysis of Player Interactions in Soccer Games. EDBT/ICDT Workshops (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)
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)
Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring
Visual Analytics for Temporal Hypergraph Model Exploration. CoRR (2020)
Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady
Visual Analytics of Conversational Dynamics. EuroVA@EuroVis (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)
Michael Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim
Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field. IEEE Trans. Vis. Comput. Graph. 25 (10) (2019)
Manuel Stein, Daniel Seebacher, Tassilo Karge, Tom Polk, Michael Grossniklaus, Daniel A. Keim
From Movement to Events: Improving Soccer Match Annotations. MMM (1) (2019)
Manuel Stein, Thorsten Breitkreutz, Johannes Häussler, Daniel Seebacher, Christoph Niederberger, Tobias Schreck, Michael Grossniklaus, Daniel A. Keim, Halldor Janetzko
Revealing the Invisible: Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis. BDVA (2018)
Johannes Häußler, Manuel Stein, Daniel Seebacher, Halldor Janetzko, Tobias Schreck, Daniel A. Keim
Visual Analysis of Urban Traffic Data based on High-Resolution and High-Dimensional Environmental Sensor Data. EnvirVis@EuroVis (2018)
Eren Cakmak, Daniel Seebacher, Juri Buchmüller, Daniel A. Keim
Time Series Projection to Highlight Trends and Outliers. VAST (2018)
Alexandra Diehl, Michael Hundt, Johannes Häussler, Daniel Seebacher, Siming Chen, Nida Cilasun, Daniel A. Keim, Tobias Schreck
SocialOcean: Visual Analysis and Characterization of Social Media Bubbles. BDVA (2018)
Norman Meuschke, Christopher Gondek, Daniel Seebacher, Corinna Breitinger, Daniel A. Keim, Bela Gipp
An Adaptive Image-based Plagiarism Detection Approach. JCDL (2018)
Michael Behrisch, Michael Blumenschein, Nam Wook Kim, Lin Shao, Mennatallah El-Assady, Johannes Fuchs, Daniel Seebacher, Alexandra Diehl, Ulrik Brandes, Hanspeter Pfister, Tobias Schreck, Daniel Weiskopf, Daniel A. Keim
Quality Metrics for Information Visualization. Comput. Graph. Forum 37 (3) (2018)
Dirk Streeb, Juri Buchmüller, Udo Schlegel, Wolfgang Jentner, Michael Behrisch, Bruno Schneider, Daniel Seebacher
Uncovering the Mistford Toxic Conspiracy. VAST (2017)
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. CoRR (2017)
Daniel Seebacher, Johannes Häußler, Manuel Stein, Halldor Janetzko, Tobias Schreck, Daniel A. Keim
Visual Analytics and Similarity Search: Concepts and Challenges for Effective Retrieval Considering Users, Tasks, and Data. SISAP (2017)
Manuel Stein, Halldór Janetzko, Daniel Seebacher, Alexander Jäger, Manuel Nagel, Jürgen Hölsch, Sven Kosub, Tobias Schreck, Daniel A. Keim, Michael Grossniklaus
How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects. Data 2 (1) (2017)
Daniel Seebacher, Bruno Schneider, Michael Behrisch
Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior. VAST (2017)
Manuel Stein, Halldór Janetzko, Andreas Lamprecht, Daniel Seebacher, Tobias Schreck, Daniel A. Keim, Michael Grossniklaus
From game events to team tactics: Visual analysis of dangerous situations in multi-match data. TISHW (2016)
Daniel Seebacher, Manuel Stein, Halldór Janetzko, Daniel A. Keim
Patent Retrieval: A Multi-Modal Visual Analytics Approach. EuroVA@EuroVis (2016)
Manuel Stein, Halldor Janetzko, Thorsten Breitkreutz, Daniel Seebacher, Tobias Schreck, Michael Grossniklaus, Iain D. Couzin, Daniel A. Keim
Director's Cut: Analysis and Annotation of Soccer Matches. IEEE Computer Graphics and Applications 36 (5) (2016)
Patrick Wiener, Manuel Stein, Daniel Seebacher, Julian Bruns, Matthias Frank, Viliam Simko, Stefan Zander, Jens Nimis
BigGIS: a continuous refinement approach to master heterogeneity and uncertainty in spatio-temporal big data (vision paper). SIGSPATIAL/GIS (2016)