Publications

Michael Blumenschein, Xuan Zhang, David Pomerenke, Daniel A. Keim, and Johannes Fuchs. Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates. Computer Graphics Forum, (39)3:537-549, The Eurographics Association and John Wiley & Sons Ltd., 2020. [PUMA: 2020 A03 sfbtrr161] URL

D. R. Wahl, K. Villinger, M. Blumenschein, L. M. König, K. Ziesemer, G. Sproesser, H. T. Schupp, and B. Renner. Why We Eat What We Eat: Assessing Dispositional and In-the-Moment Eating Motives by Using Ecological Momentary Assessment. JMIR mHealth and uHealth., (8)1:e13191, 2020. [PUMA: 2020 A03 sfbtrr161]

Christin Schätzle, F. L. Denning, M. Blumenschein, D. A. Keim, and M. Butt. Visualizing Linguistic Change as Dimension Interactions. Proceedings of the International Workshop on Computational Approaches to Historical Language Change, 272-278, 2019. [PUMA: 2019 A03 D02 sfbtrr161] URL

Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, and Michael Behrisch. FDive: Learning Relevance Models using Pattern-based Similarity Measures.. Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST), 2019. [PUMA: 2019 A03 sfbtrr161] URL

David Pomerenke, Frederik L. Dennig, Daniel A. Keim, Johannes Fuchs, and Michael Blumenschein. Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters.. Proceedings of the IEEE Visualization Conference (VIS), 86-90, IEEE, 2019. [PUMA: 2019 A03 sfbtrr161] URL

Matthias Miller, Xuan Zhang, Johannes Fuchs, and Michael Blumenschein. Evaluating Ordering Strategies of Star Glyph Axes. Proceedings of the IEEE Visualization Conference (VIS), 91-95, IEEE, 2019. [PUMA: 2019 A03 sfbtrr161] URL

Dominik Jäckle, Michael Hund, Michael Behrisch, Daniel A. Keim, and Tobias Schreck. Pattern Trails: Visual Analysis of Pattern Transitions in Subspaces.. In Brian Fisher, Shixia Liu, and Tobias Schreck (Eds.), Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST), 1-12, IEEE, 2017. [PUMA: 2017 A03 sfbtrr161] URL

M. Stein, H. Janetzko, A. Lamprecht, T. Breitkreutz, P. Zimmermann, B. Goldlücke, T. Schreck, G. Andrienko, M. Grossniklaus, and D. A. Keim. Bring it to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis.. IEEE Transactions on Visualization and Computer Graphics, (24)1:13-22, 2017. [PUMA: 2017 A03 sfbtrr161] URL

Michael Hund, Ines Färber, Michael Behrisch, Andrada Tatu, Tobias Schreck, Daniel A. Keim, and Thomas Seidl. Visual Quality Assessment of Subspace Clusterings. In IDEA KDD 2016 (Eds.), Proceedings of the KDD Workshop on Interactive Data Exploration and Analytics (IDEA), 53-62, 2016. [PUMA: 2016 A03 sfbtrr161]

Michael Blumenschein, Michael Behrisch, Stefanie Schmid, Simon Butscher, Deborah R. Wahl, Karoline Villinger, Britta Renner, Harald Reiterer, and Daniel A. Keim. SMARTexplore: Simplifying High-Dimensional Data Analysis through a Table-Based Visual Analytics Approach.. In Remco Chang, Huamin Qu, and Tobias Schreck (Eds.), Proceedings of the IEEE Conference on Visual Analytics Science and Technology (VAST), 36-47, IEEE, 2018. [PUMA: 2018 A03 sfbtrr161] URL

Leonel Merino, Johannes Fuchs, Michael Blumenschein, Craig Anslow, Mohammad Ghafari, Oscar Nierstrasz, Michael Behrisch, and Daniel A. Keim. On the Impact of the Medium in the Effectiveness of 3D Software Visualizations.. Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT), 11-21, IEEE, 2017. [PUMA: 2017 A03 sfbtrr161 visus:merinoll] URL

M. Behrisch, M. Blumenschein, N. W. Kim, L. Shao, M. El-Assady, J. Fuchs, D. Seebacher, A. Diehl, U. Brandes, H. Pfister, T. Schreck, Daniel Weiskopf, and D. A. Keim. Quality Metrics for Information Visualization. Computer Graphics Forum, (37)3:625-662, 2018. [PUMA: 2018 A03 sfbtrr161 visus:weiskopf]

L. J. Debbeler, M. Gamp, M. Blumenschein, D. A. Keim, and B. Renner. Polarized But Illusory Beliefs About Tap and Bottled Water: A Product- and Consumer-Oriented Survey and Blind Tasting Experiment. Science of the Total Environment, (643):1400-1410, 2018. [PUMA: 2018 A03 sfbtrr161] URL

Dominik Sacha, Matthias Kraus, Jürgen Bernard, Michael Behrisch, Tobias Schreck, Yuki Asano, and Daniel A. Keim. SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance. IEEE Transactions on Visualization and Computer Graphics, (24)1:120-130, 2018. [PUMA: 2018 A03 sfbtrr161] URL

Dominik Jäckle, Florian Stoffel, Sebastian Mittelstädt, Daniel A. Keim, and Harald Reiterer. Interpretation of Dimensionally-Reduced Crime Data: A Study with Untrained Domain Experts. Proceedings of the 12th International Joint Conference on Computer VisionProceedings of the 12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – Volume 3: IVAPP (VISIGRAPP), Imaging and Computer Graphics Theory and Applications, Best Student Paper Award, (3)3:164-175, 2017. [PUMA: 2017 A03 sfbtrr161] URL

Michael Hund, Michael Behrisch, Ines Farber, Michael Sedlmair, Tobias Schreck, Thomas Seidl, and Daniel Keim. Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion. In Giuseppe Amato, Richard Connor, Fabrizio Falchi, and Claudio Gennaro (Eds.), Similarity Search and Applications. International Conference on Similarity Search and Applications (SISAP). Lecture Notes in Computer Science, (9371):307-313, Springer, Cham, 2015. [PUMA: 2015 A03 sfbtrr161]

Michael Behrisch, Benjamin Bach, Michael Hund, Michael Delz, Laura von Rüden, Jean-Daniel Fekete, and Tobias Schreck. Magnostics: Image-Based Search of Interesting Matrix Views for Guided Network Exploration. IEEE Transactions on Visualization and Computer Graphics, (23)1:31-40, 2017. [PUMA: 2017 A03 sfbtrr161] URL

Michael Hund, Dominic Böhm, Werner Sturm, Michael Sedlmair, Tobias Schreck, Torsten Ullrich, Daniel A. Keim, Ljiljana Majnaric, and Andreas Holzinger. Visual Analytics for Concept Exploration in Subspaces of Patient Groups.. Brain Informatics, (3)4:233-247, 2016. [PUMA: A03 sfbtrr161 visus:sedlmaml] URL