Halldor Janetzko
Halldor Janetzko
Lucerne University of Applied Sciences
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Cited by
Cited by
Bring it to the pitch: Combining video and movement data to enhance team sport analysis
M Stein, H Janetzko, A Lamprecht, T Breitkreutz, P Zimmermann, ...
IEEE transactions on visualization and computer graphics 24 (1), 13-22, 2017
Visual opinion analysis of customer feedback data
D Oelke, M Hao, C Rohrdantz, DA Keim, U Dayal, LE Haug, H Janetzko
2009 IEEE symposium on visual analytics science and technology, 187-194, 2009
Anomaly detection for visual analytics of power consumption data
H Janetzko, F Stoffel, S Mittelstädt, DA Keim
Computers & Graphics 38, 27-37, 2014
Generalized scatter plots
DA Keim, MC Hao, U Dayal, H Janetzko, P Bak
Information Visualization 9 (4), 301-311, 2010
Feature-driven visual analytics of soccer data
H Janetzko, D Sacha, M Stein, T Schreck, DA Keim, O Deussen
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, 13-22, 2014
Visual sentiment analysis on twitter data streams
M Hao, C Rohrdantz, H Janetzko, U Dayal, DA Keim, LE Haug, MC Hsu
2011 IEEE conference on visual analytics science and technology (VAST), 277-278, 2011
How to make sense of team sport data: From acquisition to data modeling and research aspects
M Stein, H Janetzko, D Seebacher, A Jäger, M Nagel, J Hölsch, S Kosub, ...
Data 2 (1), 2, 2017
Spatiotemporal analysis of sensor logs using growth ring maps
P Bak, F Mansmann, H Janetzko, D Keim
IEEE transactions on visualization and computer graphics 15 (6), 913-920, 2009
Director's Cut: Analysis and Annotation of Soccer Matches
M Stein, H Janetzko, T Breitkreutz, D Seebacher, T Schreck, ...
IEEE Computer Graphics and Applications 36 (5), 50-60, 2016
Visual sentiment analysis of customer feedback streams using geo-temporal term associations
MC Hao, C Rohrdantz, H Janetzko, DA Keim, U Dayal, LE Haug, M Hsu, ...
Information Visualization 12 (3-4), 273-290, 2013
Visual soccer analytics: Understanding the characteristics of collective team movement based on feature-driven analysis and abstraction
M Stein, J Häußler, D Jäckle, H Janetzko, T Schreck, DA Keim
ISPRS International Journal of Geo-Information 4 (4), 2159-2184, 2015
Visual exploration of frequent patterns in multivariate time series
MC Hao, M Marwah, H Janetzko, U Dayal, DA Keim, D Patnaik, ...
Information Visualization 11 (1), 71-83, 2012
A Visual Analytics Approach for Peak‐Preserving Prediction of Large Seasonal Time Series
MC Hao, H Janetzko, S Mittelstädt, W Hill, U Dayal, DA Keim, M Marwah, ...
Computer Graphics Forum 30 (3), 691-700, 2011
Dynamic visual abstraction of soccer movement
D Sacha, F Al‐Masoudi, M Stein, T Schreck, DA Keim, G Andrienko, ...
Computer Graphics Forum 36 (3), 305-315, 2017
Visual boosting in pixel‐based visualizations
D Oelke, H Janetzko, S Simon, K Neuhaus, DA Keim
Computer Graphics Forum 30 (3), 871-880, 2011
Exploration through enrichment: a visual analytics approach for animal movement
D Spretke, P Bak, H Janetzko, B Kranstauber, F Mansmann, S Davidson
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances …, 2011
SimpliFly: A methodology for simplification and thematic enhancement of trajectories
K Vrotsou, H Janetzko, C Navarra, G Fuchs, D Spretke, F Mansmann, ...
IEEE Transactions on Visualization and Computer Graphics 21 (1), 107-121, 2014
Computing predicted data according to weighted peak preservation and time distance biasing
MC Hao, U Dayal, D Keim, W Hill, S Mittelstädt, H Janetzko
US Patent 9,355,357, 2016
Visual analytics for exploring local impact of air traffic
J Buchmüller, H Janetzko, G Andrienko, N Andrienko, G Fuchs, DA Keim
Computer Graphics Forum 34 (3), 181-190, 2015
Enhancing parallel coordinates: Statistical visualizations for analyzing soccer data
H Janetzko, M Stein, D Sacha, T Schreck
Electronic Imaging 2016 (1), 1-8, 2016
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