Dominik Sacha

19 papers B 1Misc 3Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2019 J jnl
VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning.
IEEE Trans. Vis. Comput. Graph.
Dominik Sacha, Matthias Kraus, Daniel A. Keim, Min Chen
2018 — —
Knowledge Generation in Visual Analytics: Integrating Human and Machine Intelligence for Exploration of Big Data.
Dominik Sacha
2018 — ch.
Knowledge Generation in Visual Analytics: Integrating Human and Machine Intelligence for Exploration of Big Data.
Ausgezeichnete Informatikdissertationen
Dominik Sacha
2018 J jnl
Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool.
Vis. Comput.
Wolfgang Jentner, Dominik Sacha, Florian Stoffel, Geoffrey P. Ellis, Leishi Zhang, Daniel A. Keim
2018 J jnl
SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance.
IEEE Trans. Vis. Comput. Graph.
Dominik Sacha, Matthias Kraus, Jürgen Bernard, Michael Behrisch, Tobias Schreck, Yuki Asano, Daniel A. Keim
2017 J jnl
Dynamic Visual Abstraction of Soccer Movement.
Comput. Graph. Forum
Dominik Sacha, F. Al-amoody, Manuel Stein, Tobias Schreck, Daniel A. Keim, Gennady L. Andrienko, Halldór Janetzko
2017 — conf
Visual Comparative Case Analytics.
EuroVA@EuroVis
Dominik Sacha, Wolfgang Jentner, Leishi Zhang, Florian Stoffel, Geoffrey P. Ellis
2017 J jnl
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis.
IEEE Trans. Vis. Comput. Graph.
Dominik Sacha, Leishi Zhang, Michael Sedlmair, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
2017 J jnl
What you see is what you can change: Human-centered machine learning by interactive visualization.
Neurocomputing
Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
2016 — conf
Analytic Behavior and Trust Building in Visual Analytics.
EuroVis (Short Papers)
Dominik Sacha, Ina Boesecke, Johannes Fuchs, Daniel A. Keim
2016 Misc conf
Enhancing Parallel Coordinates: Statistical Visualizations for Analyzing Soccer Data.
Visualization and Data Analysis
Halldór Janetzko, Manuel Stein, Dominik Sacha, Tobias Schreck
2016 B conf
Human-centered machine learning through interactive visualization: review and open challenges.
ESANN
Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
2016 J jnl
The Role of Uncertainty, Awareness, and Trust in Visual Analytics.
IEEE Trans. Vis. Comput. Graph.
Dominik Sacha, Hansi Senaratne, Bum Chul Kwon, Geoffrey P. Ellis, Daniel A. Keim
2016 Misc conf
Visual-Interactive Search for Soccer Trajectories to Identify Interesting Game Situations.
Visualization and Data Analysis
Lin Shao, Dominik Sacha, Benjamin Neldner, Manuel Stein, Tobias Schreck
2015 — conf
Ambient Grids: Maintain Context-Awareness via Aggregated Off-Screen Visualization.
EuroVis (Short Papers)
Dominik Jäckle, Florian Stoffel, Bum Chul Kwon, Dominik Sacha, Andreas Stoffel, Daniel A. Keim
2015 — conf
Self Organizing Maps for the Visual Analysis of Pitch Contours.
NODALIDA
Dominik Sacha, Yuki Asano, Christian Rohrdantz, Felix Hamborg, Daniel A. Keim, Bettina Braun, Miriam Butt
2014 Misc conf
Collaborative data analysis with smart tangible devices.
Visualization and Data Analysis
Johannes Fuchs, Roman Rädle, Dominik Sacha, Fabian Fischer, Andreas Stoffel
2014 — conf
Feature-driven visual analytics of soccer data.
IEEE VAST
Halldór Janetzko, Dominik Sacha, Manuel Stein, Tobias Schreck, Daniel A. Keim, Oliver Deussen
2014 J jnl
Knowledge Generation Model for Visual Analytics.
IEEE Trans. Vis. Comput. Graph.
Dominik Sacha, Andreas Stoffel, Florian Stoffel, Bum Chul Kwon, Geoffrey P. Ellis, Daniel A. Keim