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2018
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, 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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V. Gold, M. El-Assady and C. Rohrdantz.
Explorative visuelle Textanalyse von politischen Debatten.
Computational Social Science. Die Analyse von Big Data, Nomos, pages 211--234, 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, The Eurographics Association and John Wiley & Sons Ltd., 37(3):351-365, DOI: 10.1111/cgf.13425, 2018.
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A. Diehl, A. Abdul-Rahman, M. El-Assady, B. Bach, D. A. Keim and M. Chen.
VisGuides: A Forum for Discussing Visualization Guidelines.
EuroVis 2018 - Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20181079, 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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D. Sacha.
Knowledge Generation in Visual Analytics: Integrating Human and Machine Intelligence for Exploration of Big Data.
2018.
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H. Ben Lahmar, M. Herschel, M. Blumenschein and D. A. Keim.
Provenance-Based Visual Data Exploration with EVLIN.
Proceedings of the 21th International Conference on Extending Database Technology, EDBT 2018, Vienna, Austria, March 26-29, 2018., pages 686--689, DOI: 10.5441/002/edbt.2018.85, 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, to appear, 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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L. Flekova, F. Stoffel, I. Gurevych and D. A. Keim.
Content-based Analysis and Visualization of Story Complexity.
Visualisierung sprachlicher Daten, Heidelberg University Publishing, pages 185--223, DOI: 10.17885/heiup.345.474, 2018.
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J. Häußler, M. Stein, D. Seebacher, H. Janetzko, T. Schreck and D. A. Keim.
Visual Analysis of Urban Traffic Data based on High-Resolution and High-Dimensional Environmental Sensor Data.
Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association, DOI: 10.2312/envirvis.20181138, 2018.
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H. Janetzko and M. Stein.
PixelWise Pie Charts: Placement of Data Points Visualizing Spatial Value Distributions.
EuroVis 2018 - Short Papers, The Eurographics Association, DOI: 10.2312/eurovisshort.20181086, 2018.
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U. Schlegel, E. Cakmak, J. Buchmüller and D. A. Keim.
G-Rap: interactive text synthesis using recurrent neural network suggestions.
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2018.
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N. Meuschke, C. Gondeck, D. Seebacher, C. Breitinger, D. A. Keim and B. Gipp.
An Adaptive Image-based Plagiarism Detection Approach.
Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 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, VAST'17 Best Paper Honorable Mention, 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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