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2019
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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2018
B. Schneider, D. Jäckle, F. Stoffel, A. Diehl, J. Fuchs and D. A. Keim.
Integrating Data and Model Space in Ensemble Learning by Visual Analytics.
IEEE Transactions on Big Data, DOI: 10.1109/TBDATA.2018.2877350, to appear, 2018.
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D. Seebacher, J. Häußler, M. Hundt, M. Stein, H. Müller, U. Engelke and D. A. Keim.
Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species.
IEEE Transactions on Big Data, DOI: 10.1109/TBDATA.2018.2877352, 2018.
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M. Miller, J. Häußler, M. Kraus, D. A. Keim and M. El-Assady.
Analyzing Visual Mappings of Traditional and Alternative Music Notation.
3rd IEEE VIS Workshop on Visualization for the Digital Humanities as part of the IEEE VIS 2018, 2018.
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M. Behrisch, D. Streeb, F. Stoffel, D. Seebacher, B. Matejek, S. H. Weber, S. Mittelstädt, H. Pfister and D. A. Keim.
Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field.
IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2018.2859973, 2018.
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D. Sacha, M. Kraus, D. A. Keim and M. Chen.
VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning.
IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2018.2864838, 2018.
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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, DOI: 10.1109/TVCG.2018.2864769, to appear, 2018.
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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, DOI: 10.1016/j.scitotenv.2018.06.190, 2018.
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S. Liu, X. Wang, C. Collins, W. Dou, F. Ouyang, M. El-Assady, L. Jiang and D. A. Keim.
Bridging Text Visualization and Mining: A Task-Driven Survey.
IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2018.2834341, 2018.
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M. El-Assady, R. Sevastjanova, D. A. Keim and C. Collins.
ThreadReconstructor: Modeling Reply-Chains to Untangle Conversational Text through Visual Analytics.
Computer Graphics Forum, 37(3):351-365, DOI: 10.1111/cgf.13425, 2018.
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M. 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 and D. A. Keim.
Quality Metrics for Information Visualization.
Computer Graphics Forum, The Eurographics Association and John Wiley & Sons Ltd., DOI: 10.1111/cgf.13446, 2018.
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W. Jentner, F. Stoffel, D. Jäckle, A. Gärtner and D. A. Keim.
DeepClouds: Stereoscopic 3D Wordle based on Conical Spirals.
Workshop on Visualization as Added Value in the Development, Use and Evaluation of Language Resources (VisLR III) @LREC, 2018.
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F. Stoffel, H. Post, M. Stewen and D. A. Keim.
polimaps: Supporting Predictive Policing with Visual Analytics.
EuroVis Workshop on Visual Analytics (EuroVA), 2018.
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W. Jentner, D. Jäckle, U. Engelke, D. A. Keim and T. Schreck.
A Concept for Consensus-based Ordering of Views.
EuroVis Workshop on Visual Analytics (EuroVA), DOI: 10.2312/eurova.20181114, 2018.
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W. Jentner, D. Sacha, F. Stoffel, G. Ellis, L. Zhang and D. A. Keim.
Making Machine Intelligence Less Scary for Criminal Analysts: Reflections on Designing a Visual Comparative Case Analysis Tool.
The Visual Computer Journal, Springer Berlin Heidelberg, DOI: 10.1007/s00371-018-1483-0, 2018.
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N. Andrienko, T. Lammarsch, G. Andrienko, G. Fuchs, D. A. Keim, S. Miksch and A. Rind.
Viewing Visual Analytics as Model Building.
Computer Graphics Forum, 2018.
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M. El-Assady, R. Sevastjanova, F. Sperrle, D. A. Keim and C. Collins.
Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework.
IEEE Transactions on Visualization and Computer Graphics, 24(1):382-391, DOI: 10.1109/TVCG.2017.2745080, 2018.
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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 (Proceedings of the Visual Analytics Science and Technology), 24(1):13-22, DOI: 10.1109/TVCG.2017.2745181, 2018.
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