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ORCIDSebastian Mittelstädt
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2010 – 2019
- 2019
[j7]Michael Behrisch
, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim:
Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field. IEEE Trans. Vis. Comput. Graph. 25(10): 3011-3031 (2019)- 2017
- [j6]Svenja Simon, Sebastian Mittelstädt, Bum Chul Kwon, Andreas Stoffel, Richard Landstorfer, Klaus Neuhaus, Anna Mühlig, Siegfried Scherer, Daniel A. Keim:
VisExpress: Visual exploration of differential gene expression data. Inf. Vis. 16(1): 48-73 (2017) - [c16]Dominik Jäckle, Florian Stoffel, Sebastian Mittelstädt, Daniel A. Keim, Harald Reiterer:
Interpretation of Dimensionally-reduced Crime Data: A Study with Untrained Domain Experts. VISIGRAPP (3: IVAPP) 2017: 164-175 - 2016
- [c15]Lin Shao, Sebastian Mittelstädt, Ran Goldblatt, Itzhak Omer, Peter Bak, Tobias Schreck:
StreetExplorer: Visual Exploration of Feature-based Patterns in Urban Street Networks. VISIGRAPP (2: IVAPP) 2016: 86-97 - [c14]Lin Shao, Sebastian Mittelstädt, Ran Goldblatt, Itzhak Omer, Peter Bak, Tobias Schreck:
Analysis and Comparison of Feature-Based Patterns in Urban Street Networks. VISIGRAPP (Revised Selected Papers) 2016: 287-309 - [c13]Alexander Jäger, Sebastian Mittelstädt, Daniela Oelke, Sonja Sander, Axel Platz, Gies Bouwman, Daniel A. Keim:
Lessons on Combining Topology and Geography - Visual Analytics for Electrical Outage Management. EuroVA@EuroVis 2016: 1-5 - [c12]Bruno Schneider, Sebastian Mittelstädt, Daniel A. Keim:
When Individual Data Points Matter: Interactively Analysing Classification Landscapes. EuroVis (Posters) 2016: 13-15 - 2015
- [b1]Sebastian Mittelstädt:
Methods for Effective Color Encoding and the Compensation of Contrast Effects. University of Konstanz, Germany, 2015 - [j5]Sebastian Mittelstädt, Daniel A. Keim:
Efficient Contrast Effect Compensation with Personalized Perception Models. Comput. Graph. Forum 34(3): 211-220 (2015) - [c11]Sebastian Mittelstädt, Xiaoyu Wang, Todd Eaglin, Dennis Thom, Daniel A. Keim, William J. Tolone, William Ribarsky:
An Integrated In-Situ Approach to Impacts from Natural Disasters on Critical Infrastructures. HICSS 2015: 1118-1127 - [c10]Jürgen Bernard, Martin Steiger, Sebastian Mittelstädt, Simon Thum, Daniel A. Keim, Jörn Kohlhammer:
A survey and task-based quality assessment of static 2D colormaps. Visualization and Data Analysis 2015: 93970M - [c9]Sebastian Mittelstädt, Dominik Jäckle, Florian Stoffel, Daniel A. Keim:
ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks. EuroVis (Short Papers) 2015: 115-119 - [c8]Svenja Simon, Sebastian Mittelstädt, Daniel A. Keim, Michael Sedlmair:
Bridging the Gap of Domain and Visualization Experts with a Liaison. EuroVis (Short Papers) 2015: 127-131 - [p1]Sebastian Mittelstädt:
Methoden für effektive Farbkodierung und zur Kompensation von Kontrasteffekten. Ausgezeichnete Informatikdissertationen 2015: 199-208 - 2014
- [j4]Halldór Janetzko, Florian Stoffel, Sebastian Mittelstädt, Daniel A. Keim:
Anomaly detection for visual analytics of power consumption data. Comput. Graph. 38: 27-37 (2014) - [j3]Sebastian Mittelstädt, Andreas Stoffel, Daniel A. Keim:
Methods for Compensating Contrast Effects in Information Visualization. Comput. Graph. Forum 33(3): 231-240 (2014) - [j2]Martin Steiger, Jürgen Bernard, Sebastian Mittelstädt, Hendrik Lücke-Tieke, Daniel A. Keim, Thorsten May, Jörn Kohlhammer:
Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks. Comput. Graph. Forum 33(3): 401-410 (2014) - [c7]Sebastian Mittelstädt, Ming C. Hao, Umeshwar Dayal, Meichun Hsu, Joseph Terdiman, Daniel A. Keim:
Advanced visual analytics interfaces for adverse drug event detection. AVI 2014: 237-244 - [c6]Fabian Fischer, Florian Stoffel, Sebastian Mittelstädt, Tobias Schreck, Daniel A. Keim:
Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014). IEEE VAST 2014: 301-302 - [c5]Sebastian Mittelstädt, Jürgen Bernard, Tobias Schreck, Martin Steiger, Jörn Kohlhammer, Daniel A. Keim:
Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis. EuroVis (Short Papers) 2014 - 2013
- [c4]Halldor Janetzko, Ming C. Hao, Sebastian Mittelstädt, Umeshwar Dayal, Daniel A. Keim:
Enhancing Scatter Plots Using Ellipsoid Pixel Placement and Shading. HICSS 2013: 1522-1531 - [c3]Ming C. Hao, Manish Marwah, Sebastian Mittelstädt, Halldór Janetzko, Daniel A. Keim, Umeshwar Dayal, Cullen E. Bash, Carlos J. Felix, Chandrakant D. Patel, Meichun Hsu, Yuan Chen, Michael Hund:
Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualization. Visualization and Data Analysis 2013: 865404 - 2012
- [c2]Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, René Pompl, Stefan Weber, Holger Last, Daniel A. Keim:
Visual analytics for the big data era - A comparative review of state-of-the-art commercial systems. IEEE VAST 2012: 173-182 - [c1]Ming C. Hao, Manish Marwah, Sebastian Mittelstädt, Halldór Janetzko, Daniel A. Keim, Umeshwar Dayal, Cullen E. Bash, Carlos J. Felix, Chandrakant D. Patel, Meichun Hsu, Yuan Chen:
Exploring cyber physical data streams using Radial Pixel Visualizations. IEEE VAST 2012: 225-226 - 2011
- [j1]Ming C. Hao, Halldór Janetzko, Sebastian Mittelstädt, W. Hill, Umeshwar Dayal, Daniel A. Keim, Manish Marwah, Ratnesh K. Sharma:
A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time Series. Comput. Graph. Forum 30(3): 691-700 (2011)
Coauthor Index
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