2019
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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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