Visual analytics of terrorist activities related to epidemics. - Enrico Bertini; Juri Buchmüller; Fabian Fischer 001; Stephan Huber; Thomas Lindemeier; Fabian Maass; Florian Mansmann; Thomas Ramm; Michael Regenscheit; Christian Rohrdantz; Christian Scheible; Tobias Schreck; et al. (IEEE VAST, 2011)

Proportions in categorical and geographic data: visualizing the results of political elections. - Florian Stoffel; Halldor Janetzko; Florian Mansmann (AVI, 2012)

Finding anomalies in time-series using visual correlation for interactive root cause analysis. - Florian Stoffel; Fabian Fischer 001; Daniel A. Keim (VizSEC, 2013)

Visual sentiment analysis of customer feedback streams using geo-temporal term associations. - Ming C. Hao; Christian Rohrdantz; Halldor Janetzko; Daniel A. Keim; Umeshwar Dayal; Lars-Erik Haug; Meichun Hsu; Florian Stoffel (Inf. Vis., 2013)

NStreamAware: Real-Time visual analytics for data streams (VAST Challenge 2014 MC3). - Fabian Fischer 001; Florian Stoffel (IEEE VAST, 2014)

Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014). - Fabian Fischer 001; Florian Stoffel; Sebastian Mittelstädt; Tobias Schreck; Daniel A. Keim (IEEE VAST, 2014)

Using a knowledge graph data structure to analyze text documents (VAST challenge 2014 MC1). - Florian Stoffel; Fabian Fischer 001 (IEEE VAST, 2014)

Anomaly detection for visual analytics of power consumption data. - Halldór Janetzko; Florian Stoffel; Sebastian Mittelstädt; Daniel A. Keim (Comput. Graph., 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)

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)

ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks. - Sebastian Mittelstädt; Dominik Jäckle; Florian Stoffel; Daniel A. Keim (EuroVis (Short Papers), 2015)

Spherical Similarity Explorer for Comparative Case Analysis. - Leishi Zhang; Chris Rooney; Lev Nachmanson; B. L. William Wong; Bum Chul Kwon; Florian Stoffel; Michael Hund; Nadeem Qazi; Uchit Singh; Daniel A. Keim (Visualization and Data Analysis, 2016)

SpaceCuts: Making Room for Visualizations on Maps. - Juri Buchmüller; Dominik Jäckle; Florian Stoffel; Daniel A. Keim (EuroVis (Short Papers), 2016)

Interpretation of Dimensionally-reduced Crime Data: A Study with Untrained Domain Experts. - Dominik Jäckle; Florian Stoffel; Sebastian Mittelstädt; Daniel A. Keim; Harald Reiterer (VISIGRAPP (3: IVAPP), 2017)

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

Interactive Ambiguity Resolution of Named Entities in Fictional Literature. - Florian Stoffel; Wolfgang Jentner; Michael Behrisch 001; Johannes Fuchs 001; Daniel A. Keim (Comput. Graph. Forum, 2017)

Visual Integration of Data and Model Space in Ensemble Learning. - Bruno Schneider; Dominik Jäckle; Florian Stoffel; Alexandra Diehl; Johannes Fuchs 001; Daniel A. Keim (CoRR, 2017)

Identifying Patterns and Anomalies within Spatiotemporal Water Sampling Data : VAST Challenge 2018: Award for Elegant Design of an Interactive Display. - Isabel Piljek; Giuliana Dehn; Jannik Frauendorf; Ziad Salem; Yerzhan Niyazbayev; Juri Buchmüller; Eren Cakmak; Wolfgang Jentner; Florian Stoffel; Daniel A. Keim (VAST, 2018)

polimaps: Supporting Predictive Policing with Visual Analytics. - Florian Stoffel; Hanna Post; Marcus Stewen; Daniel A. Keim (EuroVA@EuroVis, 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)

Transparency in Interactive Feature-based Machine Learning: Challenges and Solutions. - Florian Stoffel (2018)

Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field. - Michael Behrisch 001; Dirk Streeb; Florian Stoffel; Daniel Seebacher; Brian Matejek; Stefan Hagen Weber; Sebastian Mittelstädt; Hanspeter Pfister; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2019)

Integrating Data and Model Space in Ensemble Learning by Visual Analytics. - Bruno Schneider; Dominik Jäckle; Florian Stoffel; Alexandra Diehl; Johannes Fuchs 001; Daniel A. Keim (IEEE Trans. Big Data, 2021)