BigGIS: a continuous refinement approach to master heterogeneity and uncertainty in spatio-temporal big data (vision paper). - Patrick Wiener; Manuel Stein; Daniel Seebacher; Julian Bruns; Matthias Frank 002; Viliam Simko; Stefan Zander; Jens Nimis (SIGSPATIAL/GIS, 2016)

From game events to team tactics: Visual analysis of dangerous situations in multi-match data. - Manuel Stein; Halldór Janetzko; Andreas Lamprecht; Daniel Seebacher; Tobias Schreck; Daniel A. Keim; Michael Grossniklaus (TISHW, 2016)

Patent Retrieval: A Multi-Modal Visual Analytics Approach. - Daniel Seebacher; Manuel Stein; Halldór Janetzko; Daniel A. Keim (EuroVA@EuroVis, 2016)

Director's Cut: Analysis and Annotation of Soccer Matches. - Manuel Stein; Halldor Janetzko; Thorsten Breitkreutz; Daniel Seebacher; Tobias Schreck; Michael Grossniklaus; Iain D. Couzin; Daniel A. Keim (IEEE Computer Graphics and Applications, 2016)

Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior. - Daniel Seebacher; Bruno Schneider; Michael Behrisch 001 (VAST, 2017)

Uncovering the Mistford Toxic Conspiracy. - Dirk Streeb; Juri Buchmüller; Udo Schlegel; Wolfgang Jentner; Michael Behrisch 001; Bruno Schneider; Daniel Seebacher (VAST, 2017)

Visual Analytics and Similarity Search: Concepts and Challenges for Effective Retrieval Considering Users, Tasks, and Data. - Daniel Seebacher; Johannes Häußler; Manuel Stein; Halldor Janetzko; Tobias Schreck; Daniel A. Keim (SISAP, 2017)

How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects. - Manuel Stein; Halldór Janetzko; Daniel Seebacher; Alexander Jäger; Manuel Nagel; Jürgen Hölsch; Sven Kosub; Tobias Schreck; Daniel A. Keim; Michael Grossniklaus (Data, 2017)

SocialOcean: Visual Analysis and Characterization of Social Media Bubbles. - Alexandra Diehl; Michael Hundt; Johannes Häussler; Daniel Seebacher; Siming Chen 001; Nida Cilasun; Daniel A. Keim; Tobias Schreck (BDVA, 2018)

Revealing the Invisible: Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis. - Manuel Stein; Thorsten Breitkreutz; Johannes Häussler; Daniel Seebacher; Christoph Niederberger; Tobias Schreck; Michael Grossniklaus; Daniel A. Keim; Halldor Janetzko (BDVA, 2018)

Visual Analysis of Urban Traffic Data based on High-Resolution and High-Dimensional Environmental Sensor Data. - Johannes Häußler; Manuel Stein; Daniel Seebacher; Halldor Janetzko; Tobias Schreck; Daniel A. Keim (EnvirVis@EuroVis, 2018)

Time Series Projection to Highlight Trends and Outliers. - Eren Cakmak; Daniel Seebacher; Juri Buchmüller; Daniel A. Keim (VAST, 2018)

An Adaptive Image-based Plagiarism Detection Approach. - Norman Meuschke; Christopher Gondek; Daniel Seebacher; Corinna Breitinger; Daniel A. Keim; Bela Gipp (JCDL, 2018)

Quality Metrics for Information Visualization. - Michael Behrisch 001; Michael Blumenschein; Nam Wook Kim; Lin Shao 001; Mennatallah El-Assady; Johannes Fuchs 001; Daniel Seebacher; Alexandra Diehl; Ulrik Brandes; Hanspeter Pfister; Tobias Schreck; Daniel Weiskopf; et al. (Comput. Graph. Forum, 2018)

From Movement to Events: Improving Soccer Match Annotations. - Manuel Stein; Daniel Seebacher; Tassilo Karge; Tom Polk; Michael Grossniklaus; Daniel A. Keim (MMM (1), 2019)

Visual Analytics of Conversational Dynamics. - Daniel Seebacher; Maximilian T. Fischer; Rita Sevastjanova; Daniel A. Keim; Mennatallah El-Assady (EuroVA@EuroVis, 2019)

Visual Analytics of Volunteered Geographic Information: Detection and Investigation of Urban Heat Islands. - Daniel Seebacher; Matthias Miller; Tom Polk; Johannes Fuchs 001; Daniel A. Keim (IEEE Computer Graphics and Applications, 2019)

Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field. - Michael Behrisch 001; Dirk Streeb; Florian Stoffel; Daniel Seebacher; Brian Matejek; Stefan Hagen Weber; Sebastian Mittelstädt; Hanspeter Pfister; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2019)

Visual Analysis of Player Interactions in Soccer Games. - Ivona Ivkovic-Kihic; Daniel Seebacher; Manuel Stein; Tobias Schreck; Reinhold Preiner (EDBT/ICDT Workshops, 2021)

TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. - Udo Schlegel; Duy Vo Lam; Daniel A. Keim; Daniel Seebacher (PKDD/ECML Workshops (1), 2021)

Towards a Survey on Static and Dynamic Hypergraph Visualizations. - Maximilian T. Fischer; Alexander Frings; Daniel A. Keim; Daniel Seebacher (IEEE VIS (Short Papers), 2021)

CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling. - Maximilian T. Fischer; Daniel Seebacher; Rita Sevastjanova; Daniel A. Keim; Mennatallah El-Assady (Comput. Graph. Forum, 2021)

Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers. - Maximilian T. Fischer; Frederik L. Dennig; Daniel Seebacher; Daniel A. Keim; Mennatallah El-Assady (CoRR, 2021)

Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species. - Daniel Seebacher; Johannes Häußler; Michael Hundt; Manuel Stein; Hannes Müller; Ulrich Engelke; Daniel A. Keim (IEEE Trans. Big Data, 2021)

Visual Analytics for Temporal Hypergraph Model Exploration. - Maximilian T. Fischer; Devanshu Arya; Dirk Streeb; Daniel Seebacher; Daniel A. Keim; Marcel Worring (IEEE Trans. Vis. Comput. Graph., 2021)

MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales. - Philipp Meschenmoser; Juri F. Buchmüller; Daniel Seebacher; Martin Wikelski; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2021)

Visual Analytics of Spatial Events: Methods for the Interactive Analysis of Spatio-Temporal Data Abstractions. - Daniel Seebacher (2021)

A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics. - Yannick Metz; Udo Schlegel; Daniel Seebacher; Mennatallah El-Assady; Daniel A. Keim (EuroVA@EuroVis, 2022)

Investigating the Sketchplan: A Novel Way of Identifying Tactical Behavior in Massive Soccer Datasets. - Daniel Seebacher; Tom Polk; Halldor Janetzko; Daniel A. Keim; Tobias Schreck; Manuel Stein (IEEE Trans. Vis. Comput. Graph., 2023)

Validation of AI-Based 3D Human Pose Estimation in a Cyber-Physical Environment. - Lisa Marie Otto; Michael Kaiser; Daniel Seebacher; Steffen Müller (CoRR, 2025)