Daniel Seebacher

37 papers B 1Journal 19Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Validation of AI-Based 3D Human Pose Estimation in a Cyber-Physical Environment. CoRR Lisa Marie Otto, Michael Kaiser, Daniel Seebacher, Steffen Müller
2023	J	`jnl`	Investigating the Sketchplan: A Novel Way of Identifying Tactical Behavior in Massive Soccer Datasets. IEEE Trans. Vis. Comput. Graph. Daniel Seebacher, Tom Polk, Halldor Janetzko, Daniel A. Keim, Tobias Schreck, Manuel Stein
2022	—	`conf`	A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics. EuroVA@EuroVis Yannick Metz, Udo Schlegel, Daniel Seebacher, Mennatallah El-Assady, Daniel A. Keim
2021	J	`jnl`	CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling. Comput. Graph. Forum Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady
2021	J	`jnl`	CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling. CoRR Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady
2021	J	`jnl`	Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers. CoRR Maximilian T. Fischer, Frederik L. Dennig, Daniel Seebacher, Daniel A. Keim, Mennatallah El-Assady
2021	J	`jnl`	MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales. IEEE Trans. Vis. Comput. Graph. Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim
2021	—	`conf`	TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. PKDD/ECML Workshops (1) Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher
2021	J	`jnl`	TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. CoRR Udo Schlegel, Duy Vo Lam, Daniel A. Keim, Daniel Seebacher
2021	—	`conf`	Towards a Survey on Static and Dynamic Hypergraph Visualizations. IEEE VIS (Short Papers) Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher
2021	J	`jnl`	Towards a Survey on Static and Dynamic Hypergraph Visualizations. CoRR Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher
2021	—	`conf`	Visual Analysis of Player Interactions in Soccer Games. EDBT/ICDT Workshops Ivona Ivkovic-Kihic, Daniel Seebacher, Manuel Stein, Tobias Schreck, Reinhold Preiner
2021	J	`jnl`	Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species. IEEE Trans. Big Data Daniel Seebacher, Johannes Häußler, Michael Hundt, Manuel Stein, Hannes Müller, Ulrich Engelke, Daniel A. Keim
2021	J	`jnl`	Visual Analytics for Temporal Hypergraph Model Exploration. IEEE Trans. Vis. Comput. Graph. Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring
2021	J	`jnl`	Visual Analytics of Conversational Dynamics. CoRR Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady
2021	—	`—`	Visual Analytics of Spatial Events: Methods for the Interactive Analysis of Spatio-Temporal Data Abstractions. Daniel Seebacher
2020	J	`jnl`	MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales. CoRR Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim
2020	J	`jnl`	Visual Analytics for Temporal Hypergraph Model Exploration. CoRR Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring
2019	J	`jnl`	Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field. IEEE Trans. Vis. Comput. Graph. Michael Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim
2019	—	`conf`	From Movement to Events: Improving Soccer Match Annotations. MMM (1) Manuel Stein, Daniel Seebacher, Tassilo Karge, Tom Polk, Michael Grossniklaus, Daniel A. Keim
2019	—	`conf`	Visual Analytics of Conversational Dynamics. EuroVA@EuroVis Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova, Daniel A. Keim, Mennatallah El-Assady
2019	J	`jnl`	Visual Analytics of Volunteered Geographic Information: Detection and Investigation of Urban Heat Islands. IEEE Computer Graphics and Applications Daniel Seebacher, Matthias Miller, Tom Polk, Johannes Fuchs, Daniel A. Keim
2018	—	`conf`	An Adaptive Image-based Plagiarism Detection Approach. JCDL Norman Meuschke, Christopher Gondek, Daniel Seebacher, Corinna Breitinger, Daniel A. Keim, Bela Gipp
2018	J	`jnl`	Quality Metrics for Information Visualization. Comput. Graph. Forum 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
2018	—	`conf`	Revealing the Invisible: Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis. BDVA Manuel Stein, Thorsten Breitkreutz, Johannes Häussler, Daniel Seebacher, Christoph Niederberger, Tobias Schreck, Michael Grossniklaus, Daniel A. Keim, Halldor Janetzko
2018	—	`conf`	SocialOcean: Visual Analysis and Characterization of Social Media Bubbles. BDVA Alexandra Diehl, Michael Hundt, Johannes Häussler, Daniel Seebacher, Siming Chen, Nida Cilasun, Daniel A. Keim, Tobias Schreck
2018	—	`conf`	Time Series Projection to Highlight Trends and Outliers. VAST Eren Cakmak, Daniel Seebacher, Juri Buchmüller, Daniel A. Keim
2018	—	`conf`	Visual Analysis of Urban Traffic Data based on High-Resolution and High-Dimensional Environmental Sensor Data. EnvirVis@EuroVis Johannes Häußler, Manuel Stein, Daniel Seebacher, Halldor Janetzko, Tobias Schreck, Daniel A. Keim
2017	J	`jnl`	How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects. Data Manuel Stein, Halldór Janetzko, Daniel Seebacher, Alexander Jäger, Manuel Nagel, Jürgen Hölsch, Sven Kosub, Tobias Schreck, Daniel A. Keim, Michael Grossniklaus
2017	—	`conf`	Uncovering the Mistford Toxic Conspiracy. VAST Dirk Streeb, Juri Buchmüller, Udo Schlegel, Wolfgang Jentner, Michael Behrisch, Bruno Schneider, Daniel Seebacher
2017	J	`jnl`	Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species. CoRR Daniel Seebacher, Johannes Häußler, Michael Hundt, Manuel Stein, Hannes Müller, Ulrich Engelke, Daniel A. Keim
2017	B	`conf`	Visual Analytics and Similarity Search: Concepts and Challenges for Effective Retrieval Considering Users, Tasks, and Data. SISAP Daniel Seebacher, Johannes Häußler, Manuel Stein, Halldor Janetzko, Tobias Schreck, Daniel A. Keim
2017	—	`conf`	Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior. VAST Daniel Seebacher, Bruno Schneider, Michael Behrisch
2016	—	`conf`	BigGIS: a continuous refinement approach to master heterogeneity and uncertainty in spatio-temporal big data (vision paper). SIGSPATIAL/GIS Patrick Wiener, Manuel Stein, Daniel Seebacher, Julian Bruns, Matthias Frank, Viliam Simko, Stefan Zander, Jens Nimis
2016	J	`jnl`	Director's Cut: Analysis and Annotation of Soccer Matches. IEEE Computer Graphics and Applications Manuel Stein, Halldor Janetzko, Thorsten Breitkreutz, Daniel Seebacher, Tobias Schreck, Michael Grossniklaus, Iain D. Couzin, Daniel A. Keim
2016	—	`conf`	From game events to team tactics: Visual analysis of dangerous situations in multi-match data. TISHW Manuel Stein, Halldór Janetzko, Andreas Lamprecht, Daniel Seebacher, Tobias Schreck, Daniel A. Keim, Michael Grossniklaus
2016	—	`conf`	Patent Retrieval: A Multi-Modal Visual Analytics Approach. EuroVA@EuroVis Daniel Seebacher, Manuel Stein, Halldór Janetzko, Daniel A. Keim