Florian Stoffel
Florian Stoffel
Landeskriminalamt Nordrhein-Westfalen
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Cited by
Cited by
Knowledge generation model for visual analytics
D Sacha, A Stoffel, F Stoffel, BC Kwon, G Ellis, DA Keim
IEEE transactions on visualization and computer graphics 20 (12), 1604-1613, 2014
Anomaly detection for visual analytics of power consumption data
H Janetzko, F Stoffel, S Mittelstädt, DA Keim
Computers & Graphics 38, 27-37, 2014
Commercial visual analytics systems–advances in the big data analytics field
M Behrisch, D Streeb, F Stoffel, D Seebacher, B Matejek, SH Weber, ...
IEEE transactions on visualization and computer graphics 25 (10), 3011-3031, 2018
Visual sentiment analysis of customer feedback streams using geo-temporal term associations
MC Hao, C Rohrdantz, H Janetzko, DA Keim, U Dayal, LE Haug, M Hsu, ...
Information Visualization 12 (3-4), 273-290, 2013
Colorcat: Guided design of colormaps for combined analysis tasks
S Mittelstädt, D Jäckle, F Stoffel, DA Keim
Conference on Visualization (EuroVis), 115-119, 2015
Visjockey: Enriching data stories through orchestrated interactive visualization
BC Kwon, F Stoffel, D Jäckle, B Lee, D Keim
Poster compendium of the computation+ journalism symposium 3, 3, 2014
Finding anomalies in time-series using visual correlation for interactive root cause analysis
F Stoffel, F Fischer, DA Keim
Proceedings of the Tenth Workshop on Visualization for Cyber Security, 65-72, 2013
Integrating data and model space in ensemble learning by visual analytics
B Schneider, D Jäckle, F Stoffel, A Diehl, J Fuchs, D Keim
IEEE Transactions on Big Data 7 (3), 483-496, 2018
Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool
W Jentner, D Sacha, F Stoffel, G Ellis, L Zhang, DA Keim
The Visual Computer 34, 1225-1241, 2018
Predictive policing in Germany
K Seidensticker, F Bode, F Stoffel
Variabilität und Validität von Qualitätsmetriken im Bereich von Predictive Policing
F Bode, F Stoffel, D Keim
Minions, sheep, and fruits: metaphorical narratives to explain artificial intelligence and build trust
W Jentner, R Sevastjanova, F Stoffel, DA Keim, J Bernard, M El-Assady
Workshop on Visualization for AI Explainability at IEEE, 2018
Visual integration of data and model space in ensemble learning
B Schneider, D Jäckle, F Stoffel, A Diehl, J Fuchs, D Keim
2017 IEEE Visualization in Data Science (VDS), 15-22, 2017
Visual analytics of terrorist activities related to epidemics
E Bertini, J Buchmüller, F Fischer, S Huber, T Lindemeier, F Maaß, ...
2011 IEEE Conference on Visual Analytics Science and Technology (VAST), 329-330, 2011
Interpretation of dimensionally-reduced crime data: A study with untrained domain experts
D Jäckle, F Stoffel, S Mittelstädt, DA Keim, H Reiterer
12th International Conference on Computer Vision, Imaging and Computer …, 2017
Interactive ambiguity resolution of named entities in fictional literature
F Stoffel, W Jentner, M Behrisch, J Fuchs, D Keim
Computer Graphics Forum 36 (3), 189-200, 2017
Spherical similarity explorer for comparative case analysis
L Zhang, C Rooney, L Nachmanson, BL Wong, BC Kwon, F Stoffel, ...
Society for Imaging Science and Technology, 2016
Feature-based visual exploration of text classification
F Stoffel, L Flekova, D Oelke, I Gurevych, DA Keim
Symposium on visualization in data science (VDS) at IEEE VIS 2015, 2015
Ambient grids: maintain context-awareness via aggregated off-screen visualization
D Jäckle, F Stoffel, BC Kwon, D Sacha, A Stoffel, DA Keim
Eurographics Conference on Visualization (EuroVis) 2015, 55-59, 2015
Qualitätsmetriken im Bereich Predictive Policing: Die Variabilität und Validität von Trefferraten
F Bode, F Stoffel, DA Keim
Polizei & Wissenschaft, 2-15, 2017
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