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Jochen Görtler
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2020 – today
- 2024
- [c4]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: 648:1-648:19 - [i4]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 abs/2404.03085 (2024) - 2022
- [j7]Rebecca Kehlbeck, Jochen Görtler, Yunhai Wang, Oliver Deussen:
SPEULER: Semantics-preserving Euler Diagrams. IEEE Trans. Vis. Comput. Graph. 28(1): 433-442 (2022) - [c3]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: 408:1-408:13 - [d1]Jochen Görtler
, Thilo Spinner
, Daniel Weiskopf
, Oliver Deussen
:
Replication Data for: Uncertainty-Aware Principal Component Analysis. DaRUS, 2022 - 2021
- [b1]Jochen Görtler:
Quantitative Methods for Uncertainty Visualization. University of Konstanz, Germany, 2021 - [j6]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) - [i3]Rebecca Kehlbeck, Jochen Görtler, Yunhai Wang, Oliver Deussen:
SpEuler: Semantics-preserving Euler Diagrams. CoRR abs/2108.03529 (2021) - [i2]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 abs/2110.12536 (2021) - 2020
- [j5]Jochen Görtler, Thilo Spinner
, Dirk Streeb, Daniel Weiskopf, Oliver Deussen:
Uncertainty-Aware Principal Component Analysis. IEEE Trans. Vis. Comput. Graph. 26(1): 822-831 (2020)
2010 – 2019
- 2019
- [j4]Jochen Görtler
, Marc Spicker
, Christoph Schulz
, Daniel Weiskopf
, Oliver Deussen:
Stippling of 2D Scalar Fields. IEEE Trans. Vis. Comput. Graph. 25(6): 2193-2204 (2019) - [i1]Jochen Görtler, Thilo Spinner, Dirk Streeb, Daniel Weiskopf, Oliver Deussen:
Uncertainty-Aware Principal Component Analysis. CoRR abs/1905.01127 (2019) - 2018
- [j3]Jochen Görtler
, Christoph Schulz
, Daniel Weiskopf, Oliver Deussen:
Bubble Treemaps for Uncertainty Visualization. IEEE Trans. Vis. Comput. Graph. 24(1): 719-728 (2018) - 2017
- [j2]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): 531-540 (2017) - 2016
- [c2]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: 978618 - 2015
- [c1]Sebastian Bodenstedt, Jochen Görtler, Martin Wagner, Hannes Kenngott, Beat P. Müller-Stich, Rüdiger Dillmann, Stefanie Speidel:
Strukturidentifikation mittels Superpixel in der Laparoskopie. CURAC 2015: 149-154 - 2013
- [j1]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): 174-182 (2013)
Coauthor Index
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last updated on 2024-08-05 21:15 CEST by the dblp team
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