Следене
Wolfgang Jentner
Wolfgang Jentner
Data Institute for Societal Challenges, University of Oklahoma, USA
Потвърден имейл адрес: ou.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers
L Martí-Bonmatí, Á Alberich-Bayarri, R Ladenstein, I Blanquer, ...
European radiology experimental 4, 1-11, 2020
532020
Towards XAI: structuring the processes of explanations
M El-Assady, W Jentner, R Kehlbeck, U Schlegel, R Sevastjanova, ...
Proceedings of the ACM Workshop on Human-Centered Machine Learning, Glasgow …, 2019
372019
Visualization and Visual Analytic Techniques for Patterns
W Jentner, DA Keim
High-Utility Pattern Mining: Theory, Algorithms and Applications, 303-337, 2019
372019
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, 1-17, 2018
222018
Integrated visual analysis of patterns in time series and text data-workflow and application to financial data analysis
F Wanner, W Jentner, T Schreck, A Stoffel, L Sharalieva, DA Keim
Information Visualization 15 (1), 75-90, 2016
192016
Visual analytics for the prediction of movie rating and box office performance
M El Assady, D Hafner, M Hund, W Jentner, C Rohrdantz, F Fischer, ...
Bibliothek der Universität Konstanz, 2014
182014
Questioncomb: A gamification approach for the visual explanation of linguistic phenomena through interactive labeling
R Sevastjanova, W Jentner, F Sperrle, R Kehlbeck, J Bernard, ...
ACM Transactions on Interactive Intelligent Systems (TiiS) 11 (3-4), 1-38, 2021
172021
Predictive visual analytics: Approaches for movie ratings and discussion of open research challenges
M El-Assady, W Jentner, M Stein, F Fischer, T Schreck, DA Keim
172014
Minions, Sheep, and Fuits: 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 (VISxAI), IEEE VIS Berlin 2018, 2018
152018
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
152017
VisArgue: A visual text analytics framework for the study of deliberative communication
M El-Assady, V Gold, A Hautli-Janisz, W Jentner, M Butt, K Holzinger, ...
152016
lingvis. io-A linguistic visual analytics framework
M El-Assady, W Jentner, F Sperrle, R Sevastjanova, A Hautli, M Butt, ...
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
142019
Feature alignment for the analysis of verbatim text transcripts
W Jentner, M El-Assady, B Gipp, DA Keim
112017
Toward mass video data analysis: Interactive and immersive 4D scene reconstruction
M Kraus, T Pollok, M Miller, T Kilian, T Moritz, D Schweitzer, J Beyerer, ...
Sensors 20 (18), 5426, 2020
102020
Visual comparative case analytics
D Sacha, W Jentner, L Zhang, F Stoffel, G Ellis
EuroVis Workshop on Visual Analytics, 49-53, 2017
72017
Applying visual interactive dimensionality reduction to criminal intelligence analysis
D Sacha, W Jentner, L Zhang, F Stoffel, G Ellis, D Keim
VALCRI White Paper Series 1, 2017
72017
A visual analytics approach for crime signature generation and exploration
W Jentner, G Ellis, F Stoffel, D Sacha, DA Keim
72016
Relating interesting quantitative time series patterns with text events and text features
F Wanner, T Schreck, W Jentner, L Sharalieva, DA Keim
Visualization and Data Analysis 2014 9017, 176-190, 2014
72014
Promoting ethical awareness in communication analysis: investigating potentials and limits of visual analytics for intelligence applications
MT Fischer, SD Hirsbrunner, W Jentner, M Miller, DA Keim, P Helm
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
62022
Towards explainable artificial intelligence: Structuring the processes of explanations
M El-Assady, W Jentner, R Kehlbeck, U Schlegel, R Sevastjanova, ...
ACM CHI 2019 Workshop: Human–Centered Machine Learning Perspectives, 2019
42019
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