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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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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. 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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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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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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D. Sacha.
Knowledge Generation in Visual Analytics: Integrating Human and Machine Intelligence for Exploration of Big Data.
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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2017
D. Jäckle.
Projections for Visual Analysis of Multivariate Data: Methods for Identification, Interpretation, and Navigation of Patterns.
2017.
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H. Senaratne.
Uncertainty-aware Visual Analytics for Spatio-temporal Data Exploration.
2017.
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U. Hinrichs, M. El-Assady, A. Bradley, S. Forlini and C. Collins.
Risk the Drift! Stretching Disciplinary Boundaries through Critical Collaborations between the Humanities and Visualization.
2nd IEEE VIS Workshop on Visualization for the Digital Humanities as part of the IEEE VIS 2017, 2017.
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M. Behrisch.
Visual Analytic Methods for Exploring Large Amounts of Relational Data with Matrix-based Representations.
2017.
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