Feature-driven visual analytics of soccer data. - Halldór Janetzko; Dominik Sacha; Manuel Stein; Tobias Schreck; Daniel A. Keim; Oliver Deussen (IEEE VAST, 2014)

Collaborative data analysis with smart tangible devices. - Johannes Fuchs 001; Roman Rädle; Dominik Sacha; Fabian Fischer 001; Andreas Stoffel (Visualization and Data Analysis, 2014)

Knowledge Generation Model for Visual Analytics. - Dominik Sacha; Andreas Stoffel; Florian Stoffel; Bum Chul Kwon; Geoffrey P. Ellis; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2014)

Self Organizing Maps for the Visual Analysis of Pitch Contours. - Dominik Sacha; Yuki Asano 003; Christian Rohrdantz; Felix Hamborg; Daniel A. Keim; Bettina Braun; Miriam Butt (NODALIDA, 2015)

Ambient Grids: Maintain Context-Awareness via Aggregated Off-Screen Visualization. - Dominik Jäckle; Florian Stoffel; Bum Chul Kwon; Dominik Sacha; Andreas Stoffel; Daniel A. Keim (EuroVis (Short Papers), 2015)

Human-centered machine learning through interactive visualization: review and open challenges. - Dominik Sacha; Michael Sedlmair; Leishi Zhang; John Aldo Lee; Daniel Weiskopf; Stephen C. North; Daniel A. Keim (ESANN, 2016)

Enhancing Parallel Coordinates: Statistical Visualizations for Analyzing Soccer Data. - Halldór Janetzko; Manuel Stein; Dominik Sacha; Tobias Schreck (Visualization and Data Analysis, 2016)

Visual-Interactive Search for Soccer Trajectories to Identify Interesting Game Situations. - Lin Shao 001; Dominik Sacha; Benjamin Neldner; Manuel Stein; Tobias Schreck (Visualization and Data Analysis, 2016)

Analytic Behavior and Trust Building in Visual Analytics. - Dominik Sacha; Ina Boesecke; Johannes Fuchs 001; Daniel A. Keim (EuroVis (Short Papers), 2016)

The Role of Uncertainty, Awareness, and Trust in Visual Analytics. - Dominik Sacha; Hansi Senaratne; Bum Chul Kwon; Geoffrey P. Ellis; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2016)

Visual Comparative Case Analytics. - Dominik Sacha; Wolfgang Jentner; Leishi Zhang; Florian Stoffel; Geoffrey P. Ellis (EuroVA@EuroVis, 2017)

Dynamic Visual Abstraction of Soccer Movement. - Dominik Sacha; F. Al-amoody; Manuel Stein; Tobias Schreck; Daniel A. Keim; Gennady L. Andrienko; Halldór Janetzko (Comput. Graph. Forum, 2017)

What you see is what you can change: Human-centered machine learning by interactive visualization. - Dominik Sacha; Michael Sedlmair; Leishi Zhang; John Aldo Lee; Jaakko Peltonen; Daniel Weiskopf; Stephen C. North; Daniel A. Keim (Neurocomputing, 2017)

Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. - Dominik Sacha; Leishi Zhang; Michael Sedlmair; John Aldo Lee; Jaakko Peltonen; Daniel Weiskopf; Stephen C. North; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2017)

SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance. - Dominik Sacha; Matthias Kraus 002; Jürgen Bernard; Michael Behrisch 001; Tobias Schreck; Yuki Asano 003; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2018)

Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool. - Wolfgang Jentner; Dominik Sacha; Florian Stoffel; Geoffrey P. Ellis; Leishi Zhang; Daniel A. Keim (Vis. Comput., 2018)

Knowledge Generation in Visual Analytics: Integrating Human and Machine Intelligence for Exploration of Big Data. - Dominik Sacha (2018)

Knowledge Generation in Visual Analytics: Integrating Human and Machine Intelligence for Exploration of Big Data. - Dominik Sacha (Ausgezeichnete Informatikdissertationen, 2018)

VIS4ML: An Ontology for Visual Analytics Assisted Machine Learning. - Dominik Sacha; Matthias Kraus 002; Daniel A. Keim; Min Chen 001 (IEEE Trans. Vis. Comput. Graph., 2019)