Daniel Seebacher
Cited by
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Quality metrics for information visualization
M Behrisch, M Blumenschein, NW Kim, L Shao, M El‐Assady, J Fuchs, ...
Computer Graphics Forum 37 (3), 625-662, 2018
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
Commercial visual analytics systems–advances in the big data analytics field
M Behrisch, D Streeb, F Stoffel, D Seebacher, B Matejek, SH Weber, ...
IEEE Transactions on Visualization and Computer Graphics 25 (10), 3011-3031, 2018
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
An adaptive image-based plagiarism detection approach
N Meuschke, C Gondek, D Seebacher, C Breitinger, D Keim, B Gipp
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries …, 2018
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
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
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
Patent Retrieval: A Multi-Modal Visual Analytics Approach
D Seebacher, M Stein, H Janetzko, DA Keim
EuroVis Workshop on Visual Analytics (EuroVA), 013-017, 2016
Visual Analytics of Volunteered Geographic Information: Detection and Investigation of Urban Heat Islands
D Seebacher, M Miller, T Polk, J Fuchs, DA Keim
IEEE computer graphics and applications 39 (5), 83-95, 2019
Visual analysis of spatio-temporal event predictions: Investigating the spread dynamics of invasive species
D Seebacher, J Häußler, M Hundt, M Stein, H Müller, U Engelke, D Keim
2017 IEEE Visualization in Data Science (VDS), 1-6, 2017
Visual analysis of urban traffic data based on high-resolution and high-dimensional environmental sensor data
J Häußler, M Stein, D Seebacher, H Janetzko, T Schreck, DA Keim
EnvirVis 2018: Workshop on Visualisation in Environmental Sciences, 2018
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
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
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
Time Series Projection to Highlight Trends and Outliers
E Cakmak, D Seebacher, J Buchmüller, DA Keim
2018 IEEE Conference on Visual Analytics Science and Technology (VAST), 104-105, 2018
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales
P Meschenmoser, JF Buchmüller, D Seebacher, M Wikelski, DA Keim
arXiv preprint arXiv:2009.00548, 2020
Visual Analytics for Temporal Hypergraph Model Exploration
MT Fischer, D Arya, D Streeb, D Seebacher, DA Keim, M Worring
arXiv preprint arXiv:2008.07299, 2020
Where to go: Computational and visual what-if analyses in soccer
M Stein, D Seebacher, R Marcelino, T Schreck, M Grossniklaus, DA Keim, ...
Journal of sports sciences 37 (24), 2774-2782, 2019
Visual Analytics of Conversational Dynamics
D Seebacher, MT Fischer, R Sevastjanova, DA Keim, M El-Assady
EuroVis Workshop on Visual Analytics (EuroVA), 2019
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