Sebastian Mittelstädt

According to our database, Sebastian Mittelstädt authored at least 25 papers between 2011 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field.

Michael Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstädt, Hanspeter Pfister, Daniel A. Keim

IEEE Trans. Vis. Comput. Graph., 2019

2017

<i>VisExpress</i>: Visual exploration of differential gene expression data.

Svenja Simon, Sebastian Mittelstädt, Bum Chul Kwon, Andreas Stoffel, Richard Landstorfer, Klaus Neuhaus, Anna Mühlig, Siegfried Scherer, Daniel A. Keim

Inf. Vis., 2017

Interpretation of Dimensionally-reduced Crime Data: A Study with Untrained Domain Experts.

Dominik Jäckle, Florian Stoffel, Sebastian Mittelstädt, Daniel A. Keim, Harald Reiterer

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, Porto, Portugal, February 27, 2017

2016

When Individual Data Points Matter: Interactively Analysing Classification Landscapes.

Bruno Schneider, Sebastian Mittelstädt, Daniel A. Keim

Proceedings of the 18th Eurographics Conference on Visualization, 2016

Lessons on Combining Topology and Geography - Visual Analytics for Electrical Outage Management.

Alexander Jäger, Sebastian Mittelstädt, Daniela Oelke, Sonja Sander, Axel Platz, Gies Bouwman, Daniel A. Keim

Proceedings of the 7th International EuroVis Workshop on Visual Analytics, 2016

Analysis and Comparison of Feature-Based Patterns in Urban Street Networks.

Lin Shao, Sebastian Mittelstädt, Ran Goldblatt, Itzhak Omer, Peter Bak, Tobias Schreck

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016

StreetExplorer: Visual Exploration of Feature-based Patterns in Urban Street Networks.

Lin Shao, Sebastian Mittelstädt, Ran Goldblatt, Itzhak Omer, Peter Bak, Tobias Schreck

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

2015

Methods for Effective Color Encoding and the Compensation of Contrast Effects.

Sebastian Mittelstädt

PhD thesis, 2015

Efficient Contrast Effect Compensation with Personalized Perception Models.

Sebastian Mittelstädt, Daniel A. Keim

Comput. Graph. Forum, 2015

Bridging the Gap of Domain and Visualization Experts with a Liaison.

Svenja Simon, Sebastian Mittelstädt, Daniel A. Keim, Michael Sedlmair

Proceedings of the 17th Eurographics Conference on Visualization, 2015

ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks.

Sebastian Mittelstädt, Dominik Jäckle, Florian Stoffel, Daniel A. Keim

Proceedings of the 17th Eurographics Conference on Visualization, 2015

A survey and task-based quality assessment of static 2D colormaps.

Jürgen Bernard, Martin Steiger, Sebastian Mittelstädt, Simon Thum, Daniel A. Keim, Jörn Kohlhammer

Proceedings of the Visualization and Data Analysis 2015, 2015

An Integrated In-Situ Approach to Impacts from Natural Disasters on Critical Infrastructures.

Sebastian Mittelstädt, Xiaoyu Wang, Todd Eaglin, Dennis Thom, Daniel A. Keim, William J. Tolone, William Ribarsky

Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Methoden für effektive Farbkodierung und zur Kompensation von Kontrasteffekten.

Sebastian Mittelstädt

Proceedings of the Ausgezeichnete Informatikdissertationen 2015, 2015

2014

Visual Analysis of Time-Series Similarities for Anomaly Detection in Sensor Networks.

Martin Steiger, Jürgen Bernard, Sebastian Mittelstädt, Hendrik Lücke-Tieke, Daniel A. Keim, Thorsten May, Jörn Kohlhammer

Comput. Graph. Forum, 2014

Methods for Compensating Contrast Effects in Information Visualization.

Sebastian Mittelstädt, Andreas Stoffel, Daniel A. Keim

Comput. Graph. Forum, 2014

Anomaly detection for visual analytics of power consumption data.

Halldór Janetzko, Florian Stoffel, Sebastian Mittelstädt, Daniel A. Keim

Comput. Graph., 2014

Revisiting Perceptually Optimized Color Mapping for High-Dimensional Data Analysis.

Sebastian Mittelstädt, Jürgen Bernard, Tobias Schreck, Martin Steiger, Jörn Kohlhammer, Daniel A. Keim

Proceedings of the 16th Eurographics Conference on Visualization, 2014

Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014).

Fabian Fischer, Florian Stoffel, Sebastian Mittelstädt, Tobias Schreck, Daniel A. Keim

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Advanced visual analytics interfaces for adverse drug event detection.

Sebastian Mittelstädt, Ming C. Hao, Umeshwar Dayal, Meichun Hsu, Joseph Terdiman, Daniel A. Keim

Proceedings of the International Working Conference on Advanced Visual Interfaces, 2014

2013

Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualization.

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

Proceedings of the Visualization and Data Analysis 2013, 2013

Enhancing Scatter Plots Using Ellipsoid Pixel Placement and Shading.

Halldor Janetzko, Ming C. Hao, Sebastian Mittelstädt, Umeshwar Dayal, Daniel A. Keim

Proceedings of the 46th Hawaii International Conference on System Sciences, 2013

2012

Visual analytics for the big data era - A comparative review of state-of-the-art commercial systems.

Leishi Zhang, Andreas Stoffel, Michael Behrisch, Sebastian Mittelstädt, Tobias Schreck, René Pompl, Stefan Weber, Holger Last, Daniel A. Keim

Proceedings of the 7th IEEE Conference on Visual Analytics Science and Technology, 2012

Exploring cyber physical data streams using Radial Pixel Visualizations.

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

Proceedings of the 7th IEEE Conference on Visual Analytics Science and Technology, 2012

2011

A Visual Analytics Approach for Peak-Preserving Prediction of Large Seasonal Time Series.

Ming C. Hao, Halldór Janetzko, Sebastian Mittelstädt, W. Hill, Umeshwar Dayal, Daniel A. Keim, Manish Marwah, Ratnesh K. Sharma

Comput. Graph. Forum, 2011