Poster: Visual prediction of time series. - Ming C. Hao; Halldór Janetzko; Ratnesh K. Sharma; Umeshwar Dayal; Daniel A. Keim; Malú Castellanos (IEEE VAST, 2009)

Visual opinion analysis of customer feedback data. - Daniela Oelke; Ming C. Hao; Christian Rohrdantz; Daniel A. Keim; Umeshwar Dayal; Lars-Erik Haug; Halldór Janetzko (IEEE VAST, 2009)

Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps. - Peter Bak; Florian Mansmann; Halldor Janetzko; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2009)

Visual analysis of frequent patterns in large time series. - Ming C. Hao; Manish Marwah; Halldor Janetzko; Daniel A. Keim; Umeshwar Dayal; Ratnesh K. Sharma; Debprakash Patnaik; Naren Ramakrishnan (IEEE VAST, 2010)

Visual analytics of large multidimensional data using variable binned scatter plots. - Ming C. Hao; Umeshwar Dayal; Ratnesh K. Sharma; Daniel A. Keim; Halldor Janetzko (VDA, 2010)

Variable binned scatter plots. - Ming C. Hao; Umeshwar Dayal; Ratnesh K. Sharma; Daniel A. Keim; Halldor Janetzko (Inf. Vis., 2010)

Generalized scatter plots. - Daniel A. Keim; Ming C. Hao; Umeshwar Dayal; Halldor Janetzko; Peter Bak (Inf. Vis., 2010)

Exploration through enrichment: a visual analytics approach for animal movement. - David Spretke; Peter Bak; Halldor Janetzko; Bart Kranstauber; Florian Mansmann; Sarah Davidson (GIS, 2011)

Visual sentiment analysis on twitter data streams. - Ming C. Hao; Christian Rohrdantz; Halldor Janetzko; Umeshwar Dayal; Daniel A. Keim; Lars-Erik Haug; Meichun Hsu (IEEE VAST, 2011)

Visualizing frequent patterns in large multivariate time series. - Ming C. Hao; Manish Marwah; Halldór Janetzko; Ratnesh Sharma; Daniel A. Keim; Umeshwar Dayal; Debprakash Patnaik; Naren Ramakrishnan (Visualization and Data Analysis, 2011)

A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time Series. - Ming C. Hao; Halldór Janetzko; Sebastian Mittelstädt; W. Hill; Umeshwar Dayal; Daniel A. Keim; Manish Marwah; Ratnesh K. Sharma (Comput. Graph. Forum, 2011)

Visual Boosting in Pixel-based Visualizations. - Daniela Oelke; Halldor Janetzko; Svenja Simon; Klaus Neuhaus; Daniel A. Keim (Comput. Graph. Forum, 2011)

Proportions in categorical and geographic data: visualizing the results of political elections. - Florian Stoffel; Halldor Janetzko; Florian Mansmann (AVI, 2012)

Exploring cyber physical data streams using Radial Pixel Visualizations. - Ming C. Hao; Manish Marwah; Sebastian Mittelstädt; Halldór Janetzko; Daniel A. Keim; Umeshwar Dayal; Cullen E. Bash; Carlos J. Felix; Chandrakant D. Patel; Meichun Hsu; Yuan Chen 001 (IEEE VAST, 2012)

Integrating sentiment analysis and term associations with geo-temporal visualizations on customer feedback streams. - Ming C. Hao; Christian Rohrdantz; Halldór Janetzko; Daniel A. Keim; Umeshwar Dayal; Lars-Erik Haug; Meichun Hsu (Visualization and Data Analysis, 2012)

Visual exploration of frequent patterns in multivariate time series. - Ming C. Hao; Manish Marwah; Halldór Janetzko; Umeshwar Dayal; Daniel A. Keim; Debprakash Patnaik; Naren Ramakrishnan; Ratnesh K. Sharma (Inf. Vis., 2012)

Enhancing Scatter Plots Using Ellipsoid Pixel Placement and Shading. - Halldor Janetzko; Ming C. Hao; Sebastian Mittelstädt; Umeshwar Dayal; Daniel A. Keim (HICSS, 2013)

Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualization. - Ming C. Hao; Manish Marwah; Sebastian Mittelstädt; Halldór Janetzko; Daniel A. Keim; Umeshwar Dayal; Cullen E. Bash; Carlos J. Felix; Chandrakant D. Patel; Meichun Hsu; Yuan Chen 001; Michael Hund (Visualization and Data Analysis, 2013)

Visual sentiment analysis of customer feedback streams using geo-temporal term associations. - Ming C. Hao; Christian Rohrdantz; Halldor Janetzko; Daniel A. Keim; Umeshwar Dayal; Lars-Erik Haug; Meichun Hsu; Florian Stoffel (Inf. Vis., 2013)

Feature-driven visual analytics of soccer data. - Halldór Janetzko; Dominik Sacha; Manuel Stein; Tobias Schreck; Daniel A. Keim; Oliver Deussen (IEEE VAST, 2014)

Visual abstraction of complex motion patterns. - Halldór Janetzko; Dominik Jäckle; Oliver Deussen; Daniel A. Keim (Visualization and Data Analysis, 2014)

Anomaly detection for visual analytics of power consumption data. - Halldór Janetzko; Florian Stoffel; Sebastian Mittelstädt; Daniel A. Keim (Comput. Graph., 2014)

Visual Analytics for Exploring Local Impact of Air Traffic. - Juri Buchmüller; Halldór Janetzko; Gennady L. Andrienko; Natalia V. Andrienko; Georg Fuchs; Daniel A. Keim (Comput. Graph. Forum, 2015)

Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction. - Manuel Stein; Johannes Häussler; Dominik Jäckle; Halldór Janetzko; Tobias Schreck; Daniel A. Keim (ISPRS Int. J. Geo Inf., 2015)

SimpliFly: A Methodology for Simplification and Thematic Enhancement of Trajectories. - Katerina Vrotsou; Halldor Janetzko; Carlo Navarra; Georg Fuchs; David Spretke; Florian Mansmann; Natalia V. Andrienko; Gennady L. Andrienko (IEEE Trans. Vis. Comput. Graph., 2015)

Enhancements for Visualizing Temporal and Geospatial Datasets. - Halldór Janetzko (2015)

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)

Enhancing Parallel Coordinates: Statistical Visualizations for Analyzing Soccer Data. - Halldór Janetzko; Manuel Stein; Dominik Sacha; Tobias Schreck (Visualization and Data Analysis, 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 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)

Dynamic Visual Abstraction of Soccer Movement. - Dominik Sacha; F. Al-amoody; Manuel Stein; Tobias Schreck; Daniel A. Keim; Gennady L. Andrienko; Halldór Janetzko (Comput. Graph. Forum, 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)

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)

Pixel Wise Pie Charts: Placement of Data Points Visualizing Spatial Value Distributions. - Halldor Janetzko; Manuel Stein (EuroVis (Short Papers), 2018)

Bring It to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis. - Manuel Stein; Halldor Janetzko; Andreas Lamprecht; Thorsten Breitkreutz; Philipp Zimmermann; Bastian Goldlücke; Tobias Schreck; Gennady L. Andrienko; Michael Grossniklaus; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2018)

Tackling Similarity Search for Soccer Match Analysis: Multimodal Distance Measure and Interactive Query Definition. - Manuel Stein; Halldór Janetzko; Tobias Schreck; Daniel A. Keim (IEEE Computer Graphics and Applications, 2019)

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)