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2018
W. Jentner, R. Sevastjanova, F. Stoffel, D. A. Keim, J. Bernard and M. El-Assady.
Minions, Sheep, and Fruits: Metaphorical Narratives to Explain Artificial Intelligence and Build Trust.
Workshop on Visualization for AI Explainability, to appear, 2018.
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R. Sevastjanova, M. El-Assady, A. Hautli, A.-L. Kalouli, R. Kehlbeck, O. Deussen, D. A. Keim and M. Butt.
Mixed-Initiative Active Learning for Generating Linguistic Insights in Question Classification.
DSIA: Data Systems for Interactive Analysis, to appear, 2018.
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R. Sevastjanova, F. Beck, B. Ell, C. Turkay, R. Henkin, M. Butt, D. A. Keim and M. El-Assady.
Going beyond Visualization: Verbalization as Complementary Medium to Explain Machine Learning Models.
Workshop on Visualization for AI Explainability, to appear, 2018.
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V. Gold and M. El-Assady.
Visualisierung von deliberativer Kommunikation: Möglichkeiten und Potenziale für Planungs- und Beteiligungsverfahren.
Technologische Trends im Spannungsfeld von Beteiligung — Entscheidung — Planung. Fachforum Digitales Planen und Gestalten, Shaker Verlag, pages 39-52, DOI: 10.2370/9783844054392, 2018.
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B. Plüss, M. El-Assady, F. Sperrle, V. Gold, K. Budzynska, A. Hautli and C. Reed.
ADD-up: Visual Analytics for Augmented Deliberative Democracy.
7th International Conference on Computational Models of Argument, Demo Paper, 2018.
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D. Seebacher, D. A. Keim and M. Stein.
Understanding Collective Behavior with the Concept of Core Clusters.
VGI Geovisual Analytics Workshop, 4th International Symposium on Big Data Visual and Immersive Analytics (BDVA 2018), to appear, 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, to appear, 2018.
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M. Kraus, N. Weiler, A. Diehl and B. Bach.
Visualization in the VR-Canvas: How much Reality is Good for Immersive Analytics in Virtual Reality?.
VisGuides: 2nd Workshop on the Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization, to appear, 2018.
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A. Diehl, M. Hundt, J. Häußler, D. Seebacher, S. Chen, C. Nida, D. A. Keim and T. Schreck.
SocialOcean: Visual Analysis and Characterization of Social Media Bubbles.
4th International Symposium on Big Data Visual and Immersive Analytics, to appear, 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. Seebacher, M. Miller, T. Polk, J. Fuchs and D. A. Keim.
Visual Analytics of Volunteered Geographic Information: Detection and Investigation of Urban Heat Islands.
Symposium on Visualization in Data Science (VDS) at IEEE VIS 2018, to appear, 2018.
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F. Sperrle, J. Bernard, M. Sedlmair, D. A. Keim and M. El-Assady.
Speculative Execution for Guided Visual Analytics.
Workshop for Machine Learning from User Interaction for Visualization and Analytics at IEEE VIS, to appear, 2018.
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M. Schall, D. Sacha, M. Stein, M. O. Franz and D. A. Keim.
Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition.
Symposium on Visualization in Data Science (VDS) at IEEE VIS 2018, to appear, 2018.
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M. Stein, H. Janetzko, T. Schreck and D. A. Keim.
Tackling Similarity Search for Soccer Match Analysis: Multimodal Distance Measure and Interactive Query Definition.
Symposium on Visualization in Data Science (VDS) at IEEE VIS 2018, to appear, 2018.
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V. Gold, B. Plüss, M. El-Assady, F. Sperrle, K. Budzynska, A. Hautli and C. Reed.
Towards Deliberation Analytics: Stream Processing of Argument Data for Deliberative Communication.
Argumentation and Society Workshop at the International Conference on Computational Models of Argument, 2018.
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M. El-Assady, F. Sperrle, R. Sevastjanova, M. Sedlmair and D. A. Keim.
LTMA: Layered Topic Matching for the Comparative Exploration, Evaluation, and Refinement of Topic Modeling Results.
4th International Symposium on Big Data Visual and Immersive Analytics, to appear, 2018.
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M. Stein, T. Breitkreutz, J. Häußler, D. Seebacher, C. Niederberger, T. Schreck, M. Grossniklaus, D. A. Keim and H. Janetzko.
Revealing the Invisible: Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis.
4th International Symposium on Big Data Visual and Immersive Analytics (BDVA 2018), to appear, 2018.
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B. Plüss, F. Sperrle, V. Gold, M. El-Assady, A. Hautli, K. Budzynska and C. Reed.
Augmenting Public Deliberations through Stream Argument Analytics and Visualisations.
Leipzig Symposium on Visualization in Applications, to appear, 2018.
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M. Blumenschein, M. Behrisch, S. Schmid, S. Butscher, D. R. Wahl, K. Villinger, B. Renner, H. Reiterer and D. A. Keim.
SMARTexplore: Simplifying High-Dimensional Data Analysis through a Table-Based Visual Analytics Approach.
Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST), to appear, 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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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, DOI: 10.1109/TVCG.2018.2865049, 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, 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), DOI: 10. 1145/3197026.3197042, 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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