Jochen Görtler

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 13

Top Topics

Uml Class Diagrams

Machine Learning Models

Information Visualization

Confusion Matrix

Top Venues

IEEE Trans. Vis. Comput. Graph.

Medical Imaging: Image-Guided Procedures

Publications

Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Görtler, Dominik Moritz, Jeffrey P. Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference. CHI (2024)
Fred Hohman, Chaoqun Wang, Jinmook Lee, Jochen Görtler, Dominik Moritz, Jeffrey P. Bigham, Zhile Ren, Cecile Foret, Qi Shan, Xiaoyi Zhang
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference. CoRR (2024)
Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. CHI (2022)
Rebecca Kehlbeck, Jochen Görtler, Yunhai Wang, Oliver Deussen
SPEULER: Semantics-preserving Euler Diagrams. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Rebecca Kehlbeck, Jochen Görtler, Yunhai Wang, Oliver Deussen
SpEuler: Semantics-preserving Euler Diagrams. CoRR (2021)
Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. CoRR (2021)
Kiran Gadhave, Jochen Görtler, Zach Cutler, Carolina Nobre, Oliver Deussen, Miriah Meyer, Jeff M. Phillips, Alexander Lex
Predicting intent behind selections in scatterplot visualizations. Inf. Vis. 20 (4) (2021)
Jochen Görtler, Thilo Spinner, Dirk Streeb, Daniel Weiskopf, Oliver Deussen
Uncertainty-Aware Principal Component Analysis. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Jochen Görtler, Thilo Spinner, Dirk Streeb, Daniel Weiskopf, Oliver Deussen
Uncertainty-Aware Principal Component Analysis. CoRR (2019)
Jochen Görtler, Marc Spicker, Christoph Schulz, Daniel Weiskopf, Oliver Deussen
Stippling of 2D Scalar Fields. IEEE Trans. Vis. Comput. Graph. 25 (6) (2019)
Jochen Görtler, Christoph Schulz, Daniel Weiskopf, Oliver Deussen
Bubble Treemaps for Uncertainty Visualization. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Christoph Schulz, Arlind Nocaj, Jochen Görtler, Oliver Deussen, Ulrik Brandes, Daniel Weiskopf
Probabilistic Graph Layout for Uncertain Network Visualization. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)
Sebastian Bodenstedt, Jochen Görtler, Martin Wagner, Hannes Kenngott, Beat Peter Müller-Stich, Rüdiger Dillmann, Stefanie Speidel
Superpixel-based structure classification for laparoscopic surgery. Medical Imaging: Image-Guided Procedures (2016)
Sebastian Bodenstedt, Jochen Görtler, Martin Wagner, Hannes Kenngott, Beat P. Müller-Stich, Rüdiger Dillmann, Stefanie Speidel
Strukturidentifikation mittels Superpixel in der Laparoskopie. CURAC (2015)
Darko Katic, Anna-Laura Wekerle, Jochen Görtler, Patrick Spengler, Sebastian Bodenstedt, Sebastian Röhl, Stefan Suwelack, Hannes Götz Kenngott, Martin Wagner, Beat Peter Müller-Stich, Rüdiger Dillmann, Stefanie Speidel
Context-aware Augmented Reality in laparoscopic surgery. Comput. Medical Imaging Graph. 37 (2) (2013)