M. Hund et al., “Visual analytics for concept exploration in subspaces of patient groups.,” Brain Informatics, vol. 3, no. 4, pp. 233–247, 2016.
M. Behrisch et al., “Magnostics: Image-based Search of Interesting Matrix Views for Guided Network Exploration.,” 2016, vol. 23, no. 1–1, p. 99.
D. Jäckle, F. Stoffel, S. Mittelstädt, D. A. Keim, and H. Reiterer, “Interpretation of Dimensionally-Reduced Crime Data: A Study with Untrained Domain Experts.,” in Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Best Student Paper Award, 2017, no. 3, pp. 164–175.
D. Sacha et al., “SOMFlow: Guided exploratory cluster analysis with self-organizing maps and analytic provenance,” IEEE Conference on Visual Analytics Science and Technology, 2017.
C. Schulz et al., “Generative Data Models for Validation and Evaluation of Visualization Techniques.,” in BELIV Workshop 2016, 2016, pp. 112--124.
C. Schätzle, M. Hund, F. L. Dennig, M. Butt, and D. A. Keim, “HistoBankVis: Detecting Language Change via Data Visualization.,” in Proceedings of the NoDaLiDa 2017 Workshop on Processing Historical Language, 2017, no. 133, pp. 32–39.
M. Hund et al., “Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion,” in Similarity Search and Applications, vol. 1, no. 9371, G. Amato, R. Connor, F. Falchi, and C. Gennaro, Eds. Springer International Publishing, 2015, pp. 307–313.
L. Merino et al., “On the Impact of the Medium in the Effectiveness of 3D Software Visualizations,” in VISSOFT’17: Proceedings of the 5th IEEE Working Conference on Software Visualization, 2017.
M. Hund et al., “Visual Quality Assessment of Subspace Clusterings,” in KDD 2016 Interactive Data Exploration and Analytics (IDEA), 2016.
M. Stein et al., “Bring it to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis.,” in IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visual Analytics Science and Technology), 2017.
D. Jäckle, M. Hund, M. Behrisch, D. A. Keim, and T. Schreck, “Pattern Trails: Visual Analysis of Pattern Transitions in Subspaces,” in IEEE Conference on Visual Analytics Science and Technology (VAST), 2017.