Publications
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cPro: Circular Projections Using Gradient DescentR. Buchmüller, B. Jäckl, M. Behrisch, D. A. Keim Proceedings of the 15th International EuroVis Workshop on Visual Analytics (EuroVA), DOI: 10.2312/eurova.20241111, 2024 |
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The Role of Interactive Visualization in Fostering Trust in AIE. Beauxis-Aussalet, M. Behrisch, R. Borgo, D. H. Chau, C. Collins, M. El-Assady, D. A. Keim, D. Oelke, T. Schreck, H. Strobelt IEEE Computer Graphics and Applications, DOI: 10.1109/MCG.2021.3107875, 2021 |
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FDive: Learning Relevance Models using Pattern-based Similarity MeasuresF. L. Dennig, T. Polk, Z. Lin, T. Schreck, H. Pfister, M. Behrisch Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST), DOI: 10.1109/VAST47406.2019.8986940, 2019 |
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Quality Metrics for Information VisualizationM. Behrisch, M. Blumenschein, N. W. Kim, L. Shao, M. El-Assady, J. Fuchs, D. Seebacher, A. Diehl, U. Brandes, H. Pfister, T. Schreck, D. Weiskopf, D. A. Keim Computer Graphics Forum, DOI: 10.1111/cgf.13446, 2018 |
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SMARTexplore: Simplifying High-Dimensional Data Analysis through a Table-Based Visual Analytics ApproachM. Blumenschein, M. Behrisch, S. Schmid, S. Butscher, D. R. Wahl, K. Villinger, B. Renner, H. Reiterer, D. A. Keim Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST), 2018 |
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Commercial Visual Analytics Systems-Advances in the Big Data Analytics FieldM. Behrisch, D. Streeb, F. Stoffel, D. Seebacher, B. Matejek, S. H. Weber, S. Mittelstädt, H. Pfister, D. A. Keim IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2018.2859973, 2018 |
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Visual Analytic Methods for Exploring Large Amounts of Relational Data with Matrix-based RepresentationsM. Behrisch 2017 |
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Interactive Ambiguity Resolution of Named Entities in Fictional LiteratureF. Stoffel, W. Jentner, M. Behrisch, J. Fuchs, D. A. Keim Eurographics Conference on Visualization (EuroVis 2017), 2017 |
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Urban Mobility Analysis with Mobile Network Data: A Visual Analytics ApproachH. Senaratne, M. Mueller, M. Behrisch, F. Lalanne, J. Bustos-Jiménez, J. Schneidewind, D. A. Keim, T. Schreck IEEE Transactions on Intelligent Transportation Systems, 2017 |
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SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic ProvenanceD. Sacha, M. Kraus, J. Bernard, M. Behrisch, T. Schreck, Y. Asano, D. A. Keim IEEE Trans. on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2017.2744805, 2017 |
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Pattern Trails: Visual Analysis of Pattern Transitions in SubspacesD. Jäckle, M. Hund, M. Behrisch, D. A. Keim, T. Schreck IEEE Conference on Visual Analytics Science and Technology (VAST), 2017 |
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On the Impact of the Medium in the Effectiveness of 3D Software VisualizationsL. Merino, J. Fuchs, M. Blumenschein, C. Anslow, M. Ghafari, O. Nierstrasz, M. Behrisch, D. A. Keim VISSOFT'17: Proceedings of the 5th IEEE Working Conference on Software Visualization, IEEE, 2017 |
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Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior.D. Seebacher, B. Schneider, M. Behrisch IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2017 MC2), DOI: 10.1109/VAST.2017.8585436, 2017 |
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Uncovering the Mistford Toxic ConspiracyD. Streeb, J. Buchmüller, U. Schlegel, W. Jentner, M. Behrisch, B. Schneider, D. Seebacher Conference on Visual Analytics Science and Technology, VAST 2017, Phoenix, AZ, USA, October 3-6, 2017, DOI: 10.1109/VAST.2017.8585661, 2017 |
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Matrix Reordering Methods for Table and Network VisualizationM. Behrisch, B. Bach, N. Henry Riche, T. Schreck, J.-D. Fekete Computer Graphics Forum, DOI: 10.1111/cgf.12935, 2016 |
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Magnostics: Image-based Search of Interesting Matrix Views for Guided Network ExplorationM. Behrisch, B. Bach, M. Hund, L. von Rüden, M. Delz, J.-D. Fekete, T. Schreck IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2016.2598467, 2016 |
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Guiding the exploration of scatter plot data using motif-based interest measures (Journal)L. Shao, T. Schleicher, M. Behrisch, T. Schreck, I. Sipiran, D. A. Keim Journal of Visual Languages & Computing , DOI: http://dx.doi.org/10.1016/j.jvlc.2016.07.003, 2016 |
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Visual Quality Assessment of Subspace ClusteringsM. Hund, I. Färber, M. Behrisch, A. Tatu, T. Schreck, D. A. Keim, T. Seidl KDD 2016 Workshop on Interactive Data Exploration and Analytics (IDEA’16), 2016 |
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The Visual Exploration of Aggregate Similarity for Multi-Dimensional ClusteringJ. Twellmeyer, M. Hutter, M. Behrisch, J. Kohlhammer, T. Schreck Proc. Int. Conference on Information Visualization Theory and Applications, 2015 |
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Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot MatrixM. Behrisch, L. Shao, J. Buchmüller, T. Schreck Eurographics Conference on Visualization (poster paper), 2015 |
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Subspace Nearest Neighbor Search - Problem Statement, Approaches, and DiscussionM. Hund, M. Behrisch, I. Färber, M. Sedlmair, T. Schreck, T. Seidl, D. A. Keim Similarity Search and Applications, DOI: 10.1007/978-3-319-25087-8_29, 2015 |
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Guiding the Exploration of Scatter Plot Data Using Motif-based Interest MeasuresL. Shao, T. Schleicher, M. Behrisch, T. Schreck, I. Sipiran, D. A. Keim IEEE Int. Symposium on Big Data Visual Analytics (Best Paper Award), DOI: 10.1109/BDVA.2015.7314294, 2015 |
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Separating the Wheat from the Chaff: Identifying Relevant and Similar Performance Data with Visual AnalyticsL. von Rüden, M.-A. Hermanns, M. Behrisch, D. A. Keim, B. Mohr, F. Wolf Proceedings of the 2nd Workshop on Visual Performance Analysis, DOI: 10.1145/2835238.2835242, 2015 |
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Visual Analysis of Sets of Heterogeneous Matrices Using Projection-Based Distance Functions and Semantic ZoomM. Behrisch, J. Davey, F. Fischer, O. Thonnard, T. Schreck, D. A. Keim, J. Kohlhammer Computer Graphics Forum, DOI: 10.1111/cgf.12397, 2014 |
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Guided Sketching for Visual Search and Exploration in Large Scatter Plot SpacesL. Shao, M. Behrisch, T. Schreck, T. von Landesberger, M. Scherer, S. Bremm, D. A. Keim Proc. EuroVA International Workshop on Visual Analytics, DOI: 10.2312/eurova.20141140, 2014 |
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Feedback-Driven Interactive Exploration of Large Multidimensional Data Supported by Visual ClassifierM. Behrisch, F. Korkmaz, L. Shao, T. Schreck Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, DOI: 10.1109/VAST.2014.7042480, 2014 |
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Identifying Locally Interesting Motifs for Exploration of Scatter Plot MatricesL. Shao, M. Behrisch, T. Schreck, I. Sipiran, B. C. Kwon, D. A. Keim Poster Presentation at GI Workshop Big Data Visual Computing – Quantitative Perspectives for Visual Computing, September 22, 2014 Stuttgart, Germany, 2014 |
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Towards a User-Defined Visual-Interactive Definition of Similarity Functions for Mixed DataJ. Bernard, D. Sessler, M. Behrisch, M. Hutter, T. Schreck, J. Kohlhammer Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, DOI: 10.1109/VAST.2014.7042503, 2014 |
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Quality Metrics Driven Approach to Visualize Multidimensional Data in Scatterplot MatrixM. Behrisch, L. Shao, B. C. Kwon, T. Schreck, I. Sipiran, D. A. Keim Poster Presentation at GI Workshop Big Data Visual Computing – Quantitative Perspectives for Visual Computing, September 22, 2014 Stuttgart, Germany, 2014 |
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Visual Comparison of Orderings and RankingsM. Behrisch, J. Davey, S. Simon, T. Schreck, D. A. Keim, J. Kohlhammer EuroVis Workshop on Visual Analytics, DOI: 10.2312/PE.EuroVAST.EuroVA13.007-011, 2013 |
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The News Auditor: Visual Exploration of Clusters of StoriesM. Behrisch, M. Krstajic, T. Schreck, D. A. Keim Proc. EuroVA International Workshop on Visual Analytics, DOI: 10.2312/PE/EuroVAST/EuroVA12/061-065, 2012 |
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Visual analytics for the big data era - a comparative review of state-of-the-art commercial systemsL. Zhang, A. Stoffel, M. Behrisch, S. Mittelstädt, T. Schreck, R. Pompl, S. Weber, H. Last, D. A. Keim Proc. IEEE Symposium on Visual Analytics Science and Technology (accepted for publication), DOI: 10.1109/VAST.2012.6400554, 2012 |
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Matrix-Based Visual Correlation Analysis on Large Timeseries DataM. Behrisch, J. Davey, T. Schreck, J. Kohlhammer, D. A. Keim Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper), DOI: 10.1109/VAST.2012.6400549, 2012 |