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ORCIDDominik Sacha
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2010 – 2019
- 2019
[j8]Dominik Sacha, Matthias Kraus, Daniel A. Keim, Min Chen:
VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning. IEEE Trans. Vis. Comput. Graph. 25(1): 385-395 (2019)- 2018
- [b1]Dominik Sacha:
Knowledge Generation in Visual Analytics: Integrating Human and Machine Intelligence for Exploration of Big Data. University of Konstanz, Germany, 2018 - [j7]Dominik Sacha, Matthias Kraus, Jürgen Bernard, Michael Behrisch, Tobias Schreck
, Yuki Asano, Daniel A. Keim:
SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance. IEEE Trans. Vis. Comput. Graph. 24(1): 120-130 (2018) - [j6]Wolfgang Jentner, Dominik Sacha, Florian Stoffel, Geoffrey P. Ellis, Leishi Zhang, Daniel A. Keim:
Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool. Vis. Comput. 34(9): 1225-1241 (2018) - [p1]Dominik Sacha:
Knowledge Generation in Visual Analytics: Integrating Human and Machine Intelligence for Exploration of Big Data. Ausgezeichnete Informatikdissertationen 2018: 211-220 - 2017
- [j5]Dominik Sacha, F. Al-amoody, Manuel Stein, Tobias Schreck, Daniel A. Keim, Gennady L. Andrienko, Halldór Janetzko:
Dynamic Visual Abstraction of Soccer Movement. Comput. Graph. Forum 36(3): 305-315 (2017) - [j4]Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
What you see is what you can change: Human-centered machine learning by interactive visualization. Neurocomputing 268: 164-175 (2017) - [j3]Dominik Sacha, Leishi Zhang, Michael Sedlmair, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. IEEE Trans. Vis. Comput. Graph. 23(1): 241-250 (2017) - [c9]Dominik Sacha, Wolfgang Jentner, Leishi Zhang, Florian Stoffel, Geoffrey P. Ellis:
Visual Comparative Case Analytics. EuroVA@EuroVis 2017: 49-53 - 2016
- [j2]Dominik Sacha, Hansi Senaratne, Bum Chul Kwon, Geoffrey P. Ellis, Daniel A. Keim:
The Role of Uncertainty, Awareness, and Trust in Visual Analytics. IEEE Trans. Vis. Comput. Graph. 22(1): 240-249 (2016) - [c8]Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
Human-centered machine learning through interactive visualization: review and open challenges. ESANN 2016 - [c7]Halldór Janetzko, Manuel Stein, Dominik Sacha, Tobias Schreck:
Enhancing Parallel Coordinates: Statistical Visualizations for Analyzing Soccer Data. Visualization and Data Analysis 2016: 1-8 - [c6]Lin Shao, Dominik Sacha, Benjamin Neldner, Manuel Stein, Tobias Schreck:
Visual-Interactive Search for Soccer Trajectories to Identify Interesting Game Situations. Visualization and Data Analysis 2016: 1-10 - [c5]Dominik Sacha, Ina Boesecke, Johannes Fuchs, Daniel A. Keim:
Analytic Behavior and Trust Building in Visual Analytics. EuroVis (Short Papers) 2016: 143-147 - 2015
- [c4]Dominik Sacha, Yuki Asano, Christian Rohrdantz, Felix Hamborg, Daniel A. Keim, Bettina Braun, Miriam Butt:
Self Organizing Maps for the Visual Analysis of Pitch Contours. NODALIDA 2015: 181-189 - [c3]Dominik Jäckle, Florian Stoffel, Bum Chul Kwon, Dominik Sacha, Andreas Stoffel, Daniel A. Keim:
Ambient Grids: Maintain Context-Awareness via Aggregated Off-Screen Visualization. EuroVis (Short Papers) 2015: 55-59 - 2014
- [j1]Dominik Sacha, Andreas Stoffel, Florian Stoffel, Bum Chul Kwon, Geoffrey P. Ellis, Daniel A. Keim:
Knowledge Generation Model for Visual Analytics. IEEE Trans. Vis. Comput. Graph. 20(12): 1604-1613 (2014) - [c2]Halldór Janetzko, Dominik Sacha, Manuel Stein, Tobias Schreck, Daniel A. Keim, Oliver Deussen:
Feature-driven visual analytics of soccer data. IEEE VAST 2014: 13-22 - [c1]Johannes Fuchs, Roman Rädle, Dominik Sacha, Fabian Fischer, Andreas Stoffel:
Collaborative data analysis with smart tangible devices. Visualization and Data Analysis 2014: 90170C
Coauthor Index
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