M. Stein, D. Seebacher, R. Marcelino, T. Schreck, M. Grossniklaus, D. A. Keim and H. Janetzko.
Where to Go: Computational and Visual What-If Analyses in Soccer.
Journal of Sports Sciences, 1-9, DOI: 10.1080/02640414.2019.1652541, 2019. M. Stein, H. Janetzko, T. Schreck and D. A. Keim.
Tackling Similarity Search for Soccer Match Analysis: Multimodal Distance Measure and Interactive Query Definition.
IEEE Computer Graphics and Applications, 39(5):60-71, DOI: 10.1109/MCG.2019.2922224, 2019. M. Stein, T. Breitkreutz, J. Häußler, D. Seebacher, C. Niederberger, T. Schreck, M. Grossniklaus, D. A. Keim and H. Janetzko.
Revealing the Invisible: Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis.
4th International Symposium on Big Data Visual and Immersive Analytics (BDVA 2018), DOI: 10.1109/BDVA.2018.8534022, 2018. A. Cöltekin, H. Janetzko and S. I. Fabrikant.
Geovisualization.
Geographic Infomation Science and Technology, Body of Knowledge, UCGIS, DOI: 10.22224/gistbok/2018.2.6, 2018. H. Janetzko and M. Stein.
Pixel Wise Pie Charts: Placement of Data Points Visualizing Spatial Value Distributions.
EG Conference on Visualization (2018), Short Paper, 2018.
J. Häußler, M. Stein, D. Seebacher, H. Janetzko, T. Schreck and D. A. Keim.
Visual Analysis of Urban Traffic Data based on High-Resolution and High-Dimensional Environmental Sensor Data.
Workshop on Visualisation in Environmental Sciences (EnvirVis) (2018), 2018.
D. Seebacher, J. Häußler, M. Stein, H. Janetzko, T. Schreck and D. A. Keim.
Visual Analytics and Similarity Search: Concepts and Challenges for Effective Retrieval Considering Users, Tasks, and Data.
Similarity Search and Applications: 10th International Conference, SISAP 2017, Munich, Germany, October 4-6, 2017, Proceedings, Springer International Publishing, 324--332, DOI: 10.1007/978-3-319-68474-1_23, 2017. M. Stein, H. Janetzko, A. Lamprecht, T. Breitkreutz, P. Zimmermann, B. Goldlücke, T. Schreck, N. Andrienko, M. Grossniklaus and D. A. Keim.
Bring it to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis.
IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visual Analytics Science and Technology), 24(1):13--22, DOI: 10.1109/TVCG.2017.2745181, 2017. H. Janetzko and S. I. Fabrikant.
Conveying Uncertainty in Visual Cluster Representations of Soccer Player Trajectories.
The 28th International Cartographic Conference (ICC 2017), Abstract, 2017.
D. Sacha, F. Al-Masoudi, M. Stein, T. Schreck, D. A. Keim, G. Andrienko and H. Janetzko.
Dynamic Visual Abstraction of Soccer Movement.
Computer Graphics Forum, 36(3):305--315, Honorable Mention Award, DOI: 10.1111/cgf.13189, 2017. M. Stein, H. Janetzko, D. Seebacher, A. Jäger, M. Nagel, J. Hölsch, S. Kosub, T. Schreck, D. A. Keim and M. Grossniklaus.
How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects.
Data, Special Issue Geospatial Data, 2(1):DOI: 10.3390/data2010002, 2017. J. Buchmüller, M. Stein, A. Jäger, H. Senaratne and H. Janetzko.
Fusing Events, Tasks and Spatial Awareness in an Ambient-Enabled Work Environment.
IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2016 MC1), Honorable Mention - Excellent Storyboard, 2016.
M. Stein, H. Janetzko, T. Breitkreutz, D. Seebacher, T. Schreck, M. Grossniklaus, I. Couzin and D. A. Keim.
Director's Cut: Analysis and Annotation of Soccer Matches.
IEEE Computer Graphics and Applications (CG&A), Special Issue Sports Data Visualization, 2016.
D. Seebacher, M. Stein, H. Janetzko and D. A. Keim.
Patent Retrieval: A Multi-Modal Visual Analytics Approach.
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, 013-017, DOI: 10.2312/eurova.20161118, 2016. H. Janetzko, M. Stein, D. Sacha and T. Schreck.
Enhancing Parallel Coordinates: Statistical Visualizations for Analyzing Soccer Data.
IS&T Electronic Imaging Conference on Visualization and Data Analysis, 2016.
M. Stein, J. Häußler, D. Jäckle, H. Janetzko, T. Schreck and D. A. Keim.
Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction.
ISPRS International Journal of Geo-Information, Special Issue Advances in Spatio-Temporal Data Analysis and Mining , DOI: 10.3390/ijgi4042159, 2015. J. Buchmüller, H. Janetzko, G. Andrienko, N. Andrienko, G. Fuchs and D. A. Keim.
Visual Analytics for Exploring Local Impact of Air Traffic.
Eurographics Conference on Visualization (EuroVis 2015), DOI: 10.1111/cgf.12630, 2015. K. Vrotsou, H. Janetzko, C. Navarra, G. Fuchs, D. Spretke, F. Mansmann, N. Andrienko and G. Andrienko.
SimpliFly: A Methodology for Simplification and Thematic Enhancement of Trajectories.
IEEE Transactions on Visualization and Computer Graphics, 21(1):107-121, DOI: 10.1109/TVCG.2014.2337333, 2015. H. Janetzko, D. Jäckle and T. Schreck.
Geo-Temporal Visual Analysis of Customer Feedback Data Based on Self-Organizing Sentiment Maps.
International Journal On Advances in Intelligent Systems, International Academy, Research, and Industry Association (IARIA), 7(1 and 2):237--246, 2014.
H. Janetzko, D. Sacha, M. Stein, T. Schreck, D. A. Keim and O. Deussen.
Feature-Driven Visual Analytics of Soccer Data.
Proceedings of the 2014 IEEE Symposium on Visual Analytics Science and Technology (VAST '14), IEEE Transactions on Visualization and Computer Graphics (Proceedings Visual Analytics Science and Technology 2014), DOI: 10.1109/VAST.2014.7042477, 2014. H. Janetzko, D. Jäckle, O. Deussen and D. A. Keim.
Visual Abstraction of Complex Motion Patterns.
SPIE 2014 Conference on Visualization and Data Analysis (VDA 2014), IS&T/SPIE, 9017:90170J-0-90170J-12, Best Paper Award, 2014.
H. Janetzko, F. Stoffel, S. Mittelstädt and D. A. Keim.
Anomaly Detection for Visual Analytics of Power Consumption Data.
Computer & Graphics, Elsevier, 38:27-37, DOI: 10.1016/j.cag.2013.10.006, 2014. H. Janetzko, D. Jäckle and T. Schreck.
Comparative visual analysis of large customer feedback based on self-organizing sentiment maps.
Proc. International Conference on Advances in Information Mining and Management, 12-17, Best Paper Award, 2013.
M. C. Hao, C. Rohrdantz, H. Janetzko, D. A. Keim, U. Dayal, L.-E. Haug, M. Hsu and F. Stoffel.
Visual sentiment analysis of customer feedback streams using geo-temporal term associations.
Information Visualization, SAGE Publications, 12(3-4):273-290, DOI: 10.1177/1473871613481691, 2013. H. Janetzko, M. C. Hao, S. Mittelstädt, U. Dayal and D. A. Keim.
Enhancing Scatter Plots Using Ellipsoid Pixel Placement and Shading.
Proceedings of the 46th Annual Hawaii International Conference on System Sciences, IEEE Computer Society, 1522-1531, DOI: 10.1109/HICSS.2013.197, 2013. M. C. Hao, M. Marwah, S. Mittelstädt, H. Janetzko, M. Hund, D. A. Keim, U. Dayal, C. Bash, C. Felix, C. Patel and M. Hsu.
Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualization.
In Proceedings of Visualization and Data Analysis, 8654:865404--865412, DOI: 10.1117/12.2002948, 2013. M. C. Hao, M. Marwah, S. Mittelstädt, H. Janetzko, D. A. Keim, U. Dayal, C. Bash, C. Felix, C. Patel and M. Hsu.
Exploring Cyber Physical Data Streams Using Radial Pixel Visualizations.
Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper), Honorable Mention Award, DOI: 10.1109/VAST.2012.6400541, 2012. F. Mansmann, D. Spretke, H. Janetzko, B. Kranstauber and K. Safi.
Correlation-based Arrangement of Time Series for Movement Analysis in Behavioural Ecology.
Progress on Movement Analysis Workshop, Zurich, Switzerland, November 15-16, 2012.
M. C. Hao, M. Marwah, H. Janetzko, U. Dayal, D. A. Keim, D. Patnaik, N. Ramakrishnan and R. K. Sharma.
Visual exploration of frequent patterns in multivariate time series.
Information Visualization (IVS), Palgrave Macmillan, 11(1):71--83, DOI: 10.1177/1473871611430769, 2012. F. Stoffel, H. Janetzko and F. Mansmann.
Proportions in Categorical and Geographic Data: Visualizing the Results of Political Elections.
Proceedings of the AVI 2012, May 21 - 25, Capri Island (Naples), Italy, ACM Press, DOI: 10.1145/2254556.2254644, 2012. M. C. Hao, C. Rohrdantz, H. Janetzko, D. A. Keim, U. Dayal, L.-E. Haug and M. Hsu.
Integrating Sentiment Analysis and Term Associations with Geo-Temporal Visualizations on Customer Feedback Streams.
SPIE 2012 Conference on Visualization and Data Analysis (VDA 2012), Best Paper Award, DOI: http://dx.doi.org/10.1117/12.912202, 2012. D. Spretke, H. Janetzko, F. Mansmann, P. Bak, B. Kranstauber, S. Davidson and M. Mueller.
Exploration through Enrichment: A Visual Analytics Approach for Animal Movement.
Proceedings of the 19th SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, 421--424, 2011.
D. Oelke, H. Janetzko, S. Simon, K. Neuhaus and D. A. Keim.
Visual Boosting in Pixel-based Visualizations.
Computer Graphics Forum, 30(3):871-880, DOI: 10.1111/j.1467-8659.2011.01936.x, 2011. F. Mansmann, D. Spretke and H. Janetzko.
Lessons Learned from Tool Development for Animal Movement Analysis.
Poster Proc. 1st IEEE Symposium on Biological Data Visualization (IEEE BioVis), Poster Paper, 2011.
M. C. Hao, H. Janetzko, S. Mittelstädt, W. Hill, U. Dayal, D. A. Keim, M. Marwah and R. K. Sharma.
A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time Series.
Computer Graphics Forum, 30(3):691--700, DOI: 10.1111/j.1467-8659.2011.01918.x, 2011. M. C. Hao, C. Rohrdantz, H. Janetzko, U. Dayal, D. A. Keim, L.-E. Haug and M. Hsu.
Visual Sentiment Analysis on Twitter Data Streams (Poster Paper).
Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST 2011), IEEE, 277-278, DOI: 10.1109/VAST.2011.6102472, 2011. M. C. Hao, M. Marwah, H. Janetzko, R. K. Sharma, D. A. Keim, U. Dayal, D. Patnaik and N. Ramakrishnan.
Visualizing Frequent Patterns in Large Multivariate Time Series.
Proceedings of Visualization and Data Analysis 2011 (VDA 11), 7868:10, Best Paper Award, DOI: 10.1117/12.872169, 2011. M. C. Hao, U. Dayal, R. K. Sharma, D. A. Keim and H. Janetzko.
Variable binned scatter plots.
Information Visualization Journal (IVS), 9:194-203, DOI: 10.1057/ivs.2010.4, 2010. M. C. Hao, U. Dayal, R. K. Sharma, D. A. Keim and H. Janetzko.
Visual Analytics of Large Multi-Dimensional Data Using Variable Binned Scatter Plots.
Proceedings of Visualization and Data Analysis 2010 (VDA 10), SPIE, DOI: 10.1117/12.840142, 2010. D. Oelke, M. C. Hao, C. Rohrdantz, D. A. Keim, U. Dayal, L.-E. Haug and H. Janetzko.
Visual Opinion Analysis of Customer Feedback Data.
Proceedings of the 2009 IEEE Symposium on Visual Analytics Science and Technology (VAST '09), IEEE, 187-194, DOI: 10.1109/VAST.2009.5333919, 2009. D. A. Keim, M. C. Hao, U. Dayal, H. Janetzko and P. Bak.
Generalized Scatter Plots.
Information Visualization Journal (IVS), Macmillan Publishers Ltd., DOI: 10.1057/ivs.2009.34, 2009. H. Janetzko, F. Mansmann, P. Bak and D. A. Keim.
Northern Lights Maps: Spatiotemporal Exploration of Mice Movement.
EuroVis2009 (Poster Paper), 2009.
M. C. Hao, H. Janetzko, R. K. Sharma, U. Dayal, D. A. Keim and M. Castellanos.
Visual Prediction of Time Series (Poster).
Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST 2009), 229 - 230, Best Poster Award, DOI: 10.1109/VAST.2009.5333420, 2009. P. Bak, F. Mansmann, H. Janetzko and D. A. Keim.
Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 15(6):913-920, 2009.
M. Kramis, V. Wildi, B. Lemke, S. Graf, H. Janetzko and M. Waldvogel.
jSCSI - A Java iSCSI Initiator.
Proc. Jazoon '07, The International Conference on Java Technology, 2007.
H. Janetzko, D. A. Keim, M. Kramis, F. Mansmann and M. Waldvogel.
Interactive Poster: Exploring Block Access Patterns of Native XML Storage.
Conference Compendium of IEEE Symposium on Information Visualization (InfoVis 2006), IEEE, 2006.
