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2020 – today
- 2023
[j10]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): 1920-1936 (2023)- 2022
- [c17]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: 19-23 - 2021
- [b1]Daniel Seebacher:
Visual Analytics of Spatial Events: Methods for the Interactive Analysis of Spatio-Temporal Data Abstractions. University of Konstanz, Germany, 2021 - [j9]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): 25-36 (2021) - [j8]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): 497-509 (2021) - [j7]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): 550-560 (2021) - [j6]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): 1623-1633 (2021) - [c16]Ivona Ivkovic-Kihic, Daniel Seebacher, Manuel Stein, Tobias Schreck, Reinhold Preiner:
Visual Analysis of Player Interactions in Soccer Games. EDBT/ICDT Workshops 2021 - [c15]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: 5-14 - [c14]Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher:
Towards a Survey on Static and Dynamic Hypergraph Visualizations. IEEE VIS (Short Papers) 2021: 81-85 - [i8]Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
Visual Analytics of Conversational Dynamics. CoRR abs/2105.04897 (2021) - [i7]Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling. CoRR abs/2106.06334 (2021) - [i6]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 abs/2106.14802 (2021) - [i5]Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher:
Towards a Survey on Static and Dynamic Hypergraph Visualizations. CoRR abs/2107.13936 (2021) - [i4]Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher:
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. CoRR abs/2109.08438 (2021) - 2020
- [i3]Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring:
Visual Analytics for Temporal Hypergraph Model Exploration. CoRR abs/2008.07299 (2020) - [i2]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 abs/2009.00548 (2020)
2010 – 2019
- 2019
- [j5]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): 83-95 (2019) - [j4]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): 3011-3031 (2019) - [c13]Manuel Stein, Daniel Seebacher, Tassilo Karge, Tom Polk, Michael Grossniklaus, Daniel A. Keim:
From Movement to Events: Improving Soccer Match Annotations. MMM (1) 2019: 130-142 - [c12]Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady:
Visual Analytics of Conversational Dynamics. EuroVA@EuroVis 2019: 83-87 - 2018
- [j3]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): 625-662 (2018) - [c11]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: 1-11 - [c10]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: 1-9 - [c9]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: 55-62 - [c8]Eren Cakmak, Daniel Seebacher, Juri Buchmüller, Daniel A. Keim:
Time Series Projection to Highlight Trends and Outliers. VAST 2018: 104-105 - [c7]Norman Meuschke, Christopher Gondek, Daniel Seebacher, Corinna Breitinger, Daniel A. Keim, Bela Gipp:
An Adaptive Image-based Plagiarism Detection Approach. JCDL 2018: 131-140 - 2017
- [j2]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): 2 (2017) - [c6]Daniel Seebacher, Bruno Schneider, Michael Behrisch:
Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior. VAST 2017: 225-226 - [c5]Dirk Streeb, Juri Buchmüller, Udo Schlegel, Wolfgang Jentner, Michael Behrisch, Bruno Schneider, Daniel Seebacher:
Uncovering the Mistford Toxic Conspiracy. VAST 2017: 243-244 - [c4]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: 324-332 - [i1]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 abs/1710.07029 (2017) - 2016
- [j1]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): 50-60 (2016) - [c3]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: 8:1-8:4 - [c2]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: 8:1-8:9 - [c1]Daniel Seebacher, Manuel Stein, Halldór Janetzko, Daniel A. Keim:
Patent Retrieval: A Multi-Modal Visual Analytics Approach. EuroVA@EuroVis 2016: 13-17
Coauthor Index
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