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Speculative Execution for Guided Visual Analytics

F. Sperrle, J. Bernard, M. Sedlmair, D. Keim, and M. El-Assady. Workshop forWorkshop for Machine Learning from User Interaction for Visualization and Analytics at IEEE VIS, 2018, (2019)

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Univ. -Prof. Dr. rer. nat. Michael Sedlmair University of Stuttgart

Michael Böhm

Michael Funk

Hon. -Prof. Dr. -Ing. Michael Bauer University of Stuttgart

Dr. Michael Wachowsky University of Stuttgart

Other publications of authors with the same name

Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion - Position Paper.M. Hund, M. Behrisch, I. Färber, M. Sedlmair, T. Schreck, T. Seidl, and D. Keim. SISAP, volume 9371 of Lecture Notes in Computer Science, page 307-313. Springer, (2015)Toward a deeper understanding of Visualization through keyword analysis.P. Isenberg, T. Isenberg, M. Sedlmair, J. Chen, and T. Möller. CoRR, (2014)TagFlip: Active Mobile Music Discovery with Social Tags.M. Kamalzadeh, C. Kralj, T. Möller, and M. Sedlmair. IUI, page 19-30. ACM, (2016)Cardiogram: visual analytics for automotive engineers.M. Sedlmair, P. Isenberg, D. Baur, M. Mauerer, C. Pigorsch, and A. Butz. CHI, page 1727-1736. ACM, (2011)Information visualization evaluation in large companies: Challenges, experiences and recommendations.M. Sedlmair, P. Isenberg, D. Baur, and A. Butz. Information Visualization, 10 (3): 248-266 (2011)A Taxonomy of Visual Cluster Separation FactorsM. Sedlmair, A. Tatu, T. Munzner, and M. Tory. Computer Graphics Forum, 31 (3): 1335-1344 (2012)Design Study Methodology: Reflections from the Trenches and the StacksM. Sedlmair, M. Meyer, and T. Munzner. IEEE Transactions on Visualization and Computer Graphics, 18 (12): 2431-2440 (2012)VIS30K: A collection of figures and tables from IEEE visualization conference publicationsJ. Chen, M. Ling, R. Li, P. Isenberg, T. Isenberg, M. Sedlmair, T. Möller, R. Laramee, H. Shen, K. Wünsche and 1 other author(s). IEEE Transactions on Visualization and Computer Graphics (TVCG), 27 (9): 3826--3833 (2021)Document Domain Randomization for Deep Learning Document Layout ExtractionM. Ling, J. Chen, T. Möller, P. Isenberg, T. Isenberg, M. Sedlmair, R. Laramee, H. Shen, J. Wu, and C. Giles. Document Analysis and Recognition (ICDAR), page 497--513. Springer International Publishing, (2021)DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection QualityC. Morariu, A. Bibal, R. Cutura, B. Frenay, and M. Sedlmair. Technical Report, arXiv:2105.09275. arXiv preprint, (2021)