Publications
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Commercial Visual Analytics Systems-Advances in the Big Data Analytics FieldM. Behrisch, D. Streeb, F. Stoffel, D. Seebacher, B. Matejek, S. H. Weber, S. Mittelstädt, H. Pfister, D. A. Keim IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2018.2859973, 2018 |
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Interpretation of Dimensionally-Reduced Crime Data: A Study with Untrained Domain ExpertsD. Jäckle, F. Stoffel, S. Mittelstädt, D. A. Keim, H. Reiterer Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), DOI: 10.5220/0006265101640175, 2017 |
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StreetExplorer: Visual Exploration of Feature-based Patterns in Urban Street NetworksL. Shao, S. Mittelstädt, R. Goldblatt, I. Omer, P. Bak, T. Schreck Proc. Int. Conference on Information Visualization Theory and Applications, 2016 |
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When Individual Data Points Matter: Interactively Analysing Classification LandscapesB. Schneider, S. Mittelstädt, D. A. Keim Eurographics Conference on Visualization (Poster paper), DOI: 10.2312/eurp.20161130, 2016 |
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Lessons on Combining Topology and Geography - Visual Analytics for Electrical Outage ManagementA. Jäger, S. Mittelstädt, D. Oelke, S. Sander, A. Platz, G. Bouwmann, D. A. Keim EuroVis Workshop on Visual Analytics (EuroVA), DOI: 10.2312/eurova.20161116 , 2016 |
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An Integrated In-Situ Approach to Impacts from Natural Disasters on Critical InfrastructuresS. Mittelstädt, X. Wang, T. Eaglin, D. Thom, D. A. Keim, W. Tolone, W. Ribarsky IEEE 48th Annual Hawaii International Conference on System Sciences (nominated for Best Paper Award), DOI: 10.1109/HICSS.2015.136, 2015 |
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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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Efficient Contrast Effect Compensation with Personalized Perception ModelsS. Mittelstädt, D. A. Keim Computer Graphics Forum, DOI: 10.1111/cgf.12633, 2015 |
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ColorCAT: Guided Design of Colormaps for Combined Analysis TasksS. Mittelstädt, D. Jäckle, F. Stoffel, D. A. Keim Eurographics Conference on Visualization (EuroVis) - Short Papers, DOI: 10.2312/eurovisshort.20151135, 2015 |
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Bridging the gap of domain and visualization experts with a LiaisonS. Simon, S. Mittelstädt, D. A. Keim, M. Sedlmair Accepted at the Eurographics Conference on Visualization (EuroVis 2015, Short Paper), DOI: 10.2312/eurovisshort.20151137, 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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VisExpress: Visual exploration of differential gene expression dataS. Simon, S. Mittelstädt, B. C. Kwon, A. Stoffel, R. Landstorfer, K. Neuhaus, A. Mühlig, S. Scherer, D. A. Keim Information Visualization, DOI: 10.1177/1473871615612883, 2015 |
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Methods for Effective Color Encoding and the Compensation of Contrast EffectsS. Mittelstädt 2015 |
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Anomaly Detection for Visual Analytics of Power Consumption DataH. Janetzko, F. Stoffel, S. Mittelstädt, D. A. Keim Computer & Graphics, DOI: 10.1016/j.cag.2013.10.006, 2014 |
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Advanced Visual Analytics Interfaces for Adverse Drug Event DetectionS. Mittelstädt, M. C. Hao, U. Dayal, M. Hsu, J. Terdiman, D. A. Keim In Proceedings of the Working Conference on Advanced Visual Interfaces (AVI 2014), DOI: 10.1145/2598153.2598156, 2014 |
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Methods for Compensating Contrast Effects in Information VisualizationS. Mittelstädt, A. Stoffel, D. A. Keim Computer Graphics Forum, DOI: 10.1111/cgf.12379, 2014 |
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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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Uncertainty Visualization for Crisis Management in Smart Grid EnvironmentsH. Senaratne, S. Mittelstädt, C. Jacob, T. Schreck Eighth International Conference on Geographic Information Science (GIScience 2014) - Workshop on Visually Supported Reasoning with Uncertainty, 2014 |
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Analysis of Local Data Patterns by Local Adaptive Color MappingS. Mittelstädt, A. Stoffel, T. Schreck, D. A. Keim Presented at IEEE Information Visualization (InfoVis 2014, Poster Paper), 2014 |
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Using Visual Analytics to Support Decision Making to Solve the Kronos IncidentF. Fischer, F. Stoffel, S. Mittelstädt, T. Schreck, D. A. Keim IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2014 GC), DOI: 10.1109/VAST.2014.7042537, 2014 |
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Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualizationM. C. Hao, M. Marwah, S. Mittelstädt, H. Janetzko, M. Hund, D. A. Keim, U. Dayal, C. Bash, C. Felix, C. Patel, M. Hsu In Proceedings of Visualization and Data Analysis, DOI: 10.1117/12.2002948, 2013 |
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Enhancing Scatter Plots Using Ellipsoid Pixel Placement and ShadingH. Janetzko, M. C. Hao, S. Mittelstädt, U. Dayal, D. A. Keim Proceedings of the 46th Annual Hawaii International Conference on System Sciences, DOI: 10.1109/HICSS.2013.197, 2013 |
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Visual Analytics for Critical InfrastructuresS. Mittelstädt, D. Spretke, D. Sacha, D. A. Keim, B. Heyder, J. Kopp International ETG Kongress, 2013 |
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Situational Awareness for Critical Infrastructures and Decision SupportS. Mittelstädt, D. Spretke, D. Thom, D. Jäckle, A. Karsten, D. A. Keim In Proceedings of the NATO STO IST-116 Symposium on Visual Analytics, 2013 |
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Visual analytics for the big data era - a comparative review of state-of-the-art commercial systemsL. Zhang, A. Stoffel, M. Behrisch, S. Mittelstädt, T. Schreck, R. Pompl, S. Weber, H. Last, D. A. Keim Proc. IEEE Symposium on Visual Analytics Science and Technology (accepted for publication), DOI: 10.1109/VAST.2012.6400554, 2012 |
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Exploring Cyber Physical Data Streams Using Radial Pixel VisualizationsM. C. Hao, M. Marwah, S. Mittelstädt, H. Janetzko, D. A. Keim, U. Dayal, C. Bash, C. Felix, C. Patel, M. Hsu Proc. IEEE Symposium on Visual Analytics Science and Technology (Poster Paper), Honorable Mention Award, DOI: 10.1109/VAST.2012.6400541, 2012 |
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A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time SeriesM. C. Hao, H. Janetzko, S. Mittelstädt, W. Hill, U. Dayal, D. A. Keim, M. Marwah, R. K. Sharma Computer Graphics Forum, DOI: 10.1111/j.1467-8659.2011.01918.x, 2011 |