Publications
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Co-Adaptive Visual Data Analysis and Guidance ProcessesF. Sperrle, A. Jeitler, J. Bernard, D. A. Keim, M. El-Assady Computers & Graphics, DOI: 10.1016/j.cag.2021.06.016, 2021 |
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QuestionComb: A Gamification Approach for the Visual Explanation of Linguistic Phenomena through Interactive LabelingR. Sevastjanova, W. Jentner, F. Sperrle, R. Kehlbeck, J. Bernard, M. El-Assady Association for Computing Machinery, DOI: https://doi.org/10.1145/3429448, 2021 |
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Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual AnalyticsF. Sperrle, A. Jeitler, J. Bernard, D. A. Keim, M. El-Assady EuroVis Workshop on Visual Analytics (EuroVA), DOI: 10.2312/eurova.20201088, 2020 |
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Shall we play? – Extending the Visual Analytics Design Space through Gameful Design ConceptsR. Sevastjanova, H. Schäfer, J. Bernard, D. A. Keim, M. El-Assady Machine Learning from User Interactions for Visualization and Analytics, IEEE VIS 2019 workshop, 2019 |
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Speculative Execution for Guided Visual AnalyticsF. Sperrle, J. Bernard, M. Sedlmair, D. A. Keim, M. El-Assady Workshop for Machine Learning from User Interaction for Visualization and Analytics at IEEE VIS, 2018 |
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Minions, Sheep, and Fruits: Metaphorical Narratives to Explain Artificial Intelligence and Build TrustW. Jentner, R. Sevastjanova, F. Stoffel, D. A. Keim, J. Bernard, M. El-Assady Workshop on Visualization for AI Explainability, 2018 |
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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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A survey and task-based quality assessment of static 2D color mapsJ. Bernard, M. Steiger, S. Mittelstädt, S. Thum, D. A. Keim, J. Kohlhammer In Proceedings of SPIE 9397, Visualization and Data Analysis, DOI: 10.1117/12.2079841, 2015 |
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Explorative Analysis of 2D Color MapsM. Steiger, J. Bernard, S. Mittelstädt, S. Thum, M. Hutter, D. A. Keim, J. Kohlhammer International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision, 2015 |
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Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor NetworksM. Steiger, J. Bernard, S. Mittelstädt, H. Lücke-Tieke, D. A. Keim, T. May, J. Kohlhammer Computer Graphics Forum, DOI: 10.1111/cgf.12396, 2014 |
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Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data AnalysisS. Mittelstädt, J. Bernard, T. Schreck, M. Steiger, J. Kohlhammer, D. A. Keim In Proceedings of the Eurographics Conference on Visualization (EuroVis 2014, Short Paper), DOI: 10.2312/eurovisshort.20141163, 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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VisInfo: a digital library system for time series research data based on exploratory search - a user-centered design approachJ. Bernard, D. Daberkow, D. Fellner, K. Fischer, O. Koepler, J. Kohlhammer, M. Runnwerth, T. Ruppert, T. Schreck, I. Sens International Journal on Digital Libraries (Published online first), 2014 |
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MotionExplorer: Exploratory Search in Human Motion Capture Data Based on Hierarchical AggregationJ. Bernard, N. Wilhelm, B. Krüger, T. May, T. Schreck, J. Kohlhammer Transactions on Visualization and Computer Graphics (Proc. VAST), 2013 |
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Content-Based Layouts for Exploratory Metadata Search in Scientific Research DataJ. Bernard, T. Ruppert, M. Scherer, J. Kohlhammer, T. Schreck Proc. ACM/IEEE Joint Conference on Digital Libraries, 2012 |
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Guided Discovery of Interesting Relationships Between Time-Series Clusters and Metadata PropertiesJ. Bernard, T. Ruppert, M. Scherer, T. Schreck, J. Kohlhammer Proc. Int. Conference on Knowledge Management and Knowledge Technologies, Special Track on Theory and Applications of Visual Analytics, 2012 |
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TimeSeriesPaths: Projection-Based Explorative Analysis of Multivariate Time Series DataJ. Bernard, J Wilhelm, M. Scherer, T. May, T. Schreck Proc. Int. Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2012 |
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Visual Exploration of Local Interest Points in Sets of Time SeriesT. Schreck, L. Sharalieva, F. Wanner, J. Bernard, T. Ruppert, T. von Landesberger, B. Bustos Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper), 2012 |
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Assisted descriptor selection based on visual comparative data analysisS. Bremm, T. von Landesberger, J. Bernard, T. Schreck Wiley-Blackwell Computer Graphics Forum, 2011 |
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A visual digital library approach for time-oriented scientific primary dataJ. Bernard, J. Brase, D. Fellner, O. Koepler, J. Kohlhammer, T. Ruppert, T. Schreck, I. Sens Springer International Journal of Digital Libraries, ECDL 2010 Special Issue, 2011 |
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Retrieval and exploratory search in multivariate research data repositories using regressional featuresM. Scherer, J. Bernard, T. Schreck Proc. ACM/IEEE Joint Conference on Digital Libraries, 2011 |
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Multiscale visual quality assessment for cluster analysis with Self-Organizing MapsJ. Bernard, T. von Landesberger, S. Bremm, T. Schreck IS&T/SPIE Conference on Visualization and Data Analysis, 2011 |
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A visual digital library approach for time-oriented research dataJ. Bernard, J. Brase, D. Fellner, O. Koepler, J. Kohlhammer, T. Ruppert, T. Schreck, I. Sens Proc. European Conference on Digital Libraries, 2010 |
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Smart query definition for content-based search in large sets of graphsT. von Landesberger, S. Bremm, J. Bernard, T. Schreck Proc. Int. Symposium on Visual Analytics Science and Technology (EuroVAST), 2010 |
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Cluster correspondence views for enhanced analysis of SOM displaysJ. Bernard, T. von Landesberger, S. Bremm, T. Schreck Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper), 2010 |
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Visual cluster analysis of trajectory data with interactive Kohonen mapsT. Schreck, J. Bernard, T. Tekušová, J. Kohlhammer Palgrave Macmillan Information Visualization, 2009 |
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Micro-macro views for visual trajectory cluster analysisJ. Bernard, T. von Landesberger, S. Bremm, T. Schreck Eurographics/IEEE Symposium on Visualization (Poster Paper), 2009 |
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Visual cluster analysis in trajectory data using editable Kohonen mapsT. Schreck, J. Bernard, T. Tekušová, J. Kohlhammer Proc. IEEE Symposium on Visual Analytics Science and Technology, 2008 |