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2019
U. Schlegel, W. Jentner, J. Buchmüller, E. Cakmak, G. Castiglia, R. Canepa, S. Petralli, L. Oneto, D. A. Keim and D. Anguita.
Visual Analytics for Supporting Conflict Resolution in Large Railway Networks.
2019 INNS Big Data and Deep Learning (INNSBDDL 2019), to appear, 2019.
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M. Kraus, N. Weiler, T. Breitkreutz, D. A. Keim and M. Stein.
Breaking the Curse of Visual Data Exploration: Improving Analyses by Building Bridges between Data World and Real World.
10th International Conference on Information Visualization Theory and Applications, to appear, 2019.
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M. Stein, D. Seebacher, T. Karge, T. Polk, M. Grossniklaus and D. A. Keim.
From Movement to Events: Improving Soccer Match Annotations.
25th International Conference on MultiMedia Modeling, 2019.
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W. Jentner and D. A. Keim.
Visualization and Visual Analytic Techniques for Patterns.
High-Utility Pattern Mining: Theory, Algorithms and Applications, Springer International Publishing, pages 303-337, DOI: 10.1007/978-3-030-04921-8, 2019.
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M. El-Assady, F. Sperrle, O. Deussen, D. A. Keim and C. Collins.
Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution.
IEEE Transactions on Visualization and Computer Graphics, 25(1):374-384, DOI: 10.1109/TVCG.2018.2864769, 2019.
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J. Buchmüller, D. Jäckle, E. Cakmak, U. Brandes and D. A. Keim.
MotionRugs: Visualizing Collective Trends in Space and Time.
IEEE Transactions on Visualization and Computer Graphics, 25(1):76-86, DOI: 10.1109/TVCG.2018.2865049, 2019.
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