Manuel Stein
Manuel Stein
Ph.D. student at the chair for Data Analysis and Visualization, Konstanz
Verified email at dbvis.inf.uni-konstanz.de - Homepage
Title
Cited by
Cited by
Year
Feature-driven visual analytics of soccer data
D Sacha, M Stein, T Schreck, DA Keim, O Deussen
2014 IEEE conference on visual analytics science and technology (VAST), 13-22, 2014
842014
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
742017
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
472017
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, 50-60, 2016
342016
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
322015
Enhancing parallel coordinates: Statistical visualizations for analyzing soccer data
H Janetzko, M Stein, D Sacha, T Schreck
Electronic Imaging 2016 (1), 1-8, 2016
232016
Visual-interactive search for soccer trajectories to identify interesting game situations
L Shao, D Sacha, B Neldner, M Stein, T Schreck
Electronic Imaging 2016 (1), 1-10, 2016
222016
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
212017
Predictive visual analytics: Approaches for movie ratings and discussion of open research challenges
M El-Assady, W Jentner, M Stein, F Fischer, T Schreck, D Keim
An IEEE VIS 2014 Workshop: Visualization for Predictive Analytics, 2014
152014
Biggis: a continuous refinement approach to master heterogeneity and uncertainty in spatio-temporal big data (vision paper)
P Wiener, M Stein, D Seebacher, J Bruns, M Frank, V Simko, S Zander, ...
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances …, 2016
122016
Revealing the invisible: Visual analytics and explanatory storytelling for advanced team sport analysis
M Stein, T Breitkreutz, J Haussler, D Seebacher, C Niederberger, ...
2018 International Symposium on Big Data Visual and Immersive Analytics …, 2018
92018
From game events to team tactics: Visual analysis of dangerous situations in multi-match data
M Stein, H Janetzko, A Lamprecht, D Seebacher, T Schreck, D Keim, ...
2016 1st International Conference on Technology and Innovation in Sports …, 2016
82016
Visual analysis of spatio-temporal event predictions: Investigating the spread dynamics of invasive species
D Seebacher, J Häuäler, M Hundt, M Stein, H Müller, U Engelke, D Keim
IEEE Transactions on Big Data, 2018
72018
Patent retrieval: a multi-modal visual analytics approach
D Seebacher, M Stein, H Janetzko, D Keim
EuroVA: International Workshop on Visual Analytics, 2016
72016
How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects. Data, 2: 1, 2
M Stein, H Janetzko, D Seebacher, A Jäger, M Nagel, J Hölsch, S Kosub, ...
62017
Tackling similarity search for soccer match analysis: multimodal distance measure and interactive query definition
M Stein, H Janetzko, T Schreck, DA Keim
IEEE computer graphics and applications 39 (5), 60-71, 2019
52019
Video-based analysis of soccer matches
MT Fischer, DA Keim, M Stein
Proceedings Proceedings of the 2nd International Workshop on Multimedia …, 2019
42019
From movement to events: Improving soccer match annotations
M Stein, D Seebacher, T Karge, T Polk, M Grossniklaus, DA Keim
International Conference on Multimedia Modeling, 130-142, 2019
42019
Visualization-assisted development of deep learning models in offline handwriting recognition
M Schall, D Sacha, M Stein, MO Franz, DA Keim
Symposium on Visualization in Data Science (VDS) at IEEE VIS 2018, 2018
42018
Similarity-Driven Visual-Interactive Prediction of Movie Ratings and Box Office Results
F Al-Masoudi, D Seebacher, M Schreiner, M Stein, C Rohrdantz, F Fischer, ...
IEEE VIS, 2013
42013
The system can't perform the operation now. Try again later.
Articles 1–20