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2020 – today
- 2024
[c8]Mohsen Jenadeleh, Frederik L. Dennig, René Cutura, Quynh Quang Ngo, Daniel A. Keim, Michael Sedlmair, Dietmar Saupe:
An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling. QoMEX 2024: 278-281- 2023
- [j2]Cristina Morariu, Adrien Bibal
, René Cutura, Benoît Frénay, Michael Sedlmair:
Predicting User Preferences of Dimensionality Reduction Embedding Quality. IEEE Trans. Vis. Comput. Graph. 29(1): 745-755 (2023) - 2022
- [j1]René Cutura, Cristina Morariu, Zhanglin Cheng, Yunhai Wang, Daniel Weiskopf, Michael Sedlmair:
Hagrid: using Hilbert and Gosper curves to gridify scatterplots. J. Vis. 25(6): 1291-1307 (2022) - [c7]Gleb Tkachev, René Cutura, Michael Sedlmair, Steffen Frey, Thomas Ertl:
Metaphorical Visualization: Mapping Data to Familiar Concepts. CHI Extended Abstracts 2022: 10:1-10:10 - [c6]Katrin Angerbauer, Nils Rodrigues, René Cutura, Seyda Öney, Nelusa Pathmanathan, Cristina Morariu, Daniel Weiskopf, Michael Sedlmair:
Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. CHI 2022: 134:1-134:23 - [d1]Katrin Angerbauer, Nils Rodrigues, René Cutura, Seyda Öney, Nelusa Pathmanathan, Cristina Morariu, Daniel Weiskopf, Michael Sedlmair:
Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. DaRUS, 2022
- 2021
- [c5]René Cutura, Cristina Morariu, Zhanglin Cheng, Yunhai Wang, Daniel Weiskopf, Michael Sedlmair:
Hagrid - Gridify Scatterplots with Hilbert and Gosper Curves. VINCI 2021: 1:1-1:8 - [i2]Cristina Morariu, Adrien Bibal, René Cutura, Benoît Frénay, Michael Sedlmair:
DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality. CoRR abs/2105.09275 (2021) - [i1]Gerrit J. Rijken, René Cutura, Frank Heyen, Michael Sedlmair, Michael Correll, Jason Dykes, Noeska N. Smit:
Illegible Semantics: Exploring the Design Space of Metal Logos. CoRR abs/2109.01688 (2021) - 2020
- [c4]Alexander Achberger, René Cutura, Oguzhan Türksoy, Michael Sedlmair:
Caarvida: Visual Analytics for Test Drive Videos. AVI 2020: 6:1-6:9 - [c3]René Cutura, Michaël Aupetit, Jean-Daniel Fekete, Michael Sedlmair:
Comparing and Exploring High-Dimensional Data with Dimensionality Reduction Algorithms and Matrix Visualizations. AVI 2020: 10:1-10:9 - [c2]René Cutura, Christoph Kralj, Michael Sedlmair:
DRUIDJS - A JavaScript Library for Dimensionality Reduction. IEEE VIS (Short Papers) 2020: 111-115
2010 – 2019
- 2018
- [c1]René Cutura, Stefan Holzer, Michaël Aupetit, Michael Sedlmair:
VisCoDeR: A tool for visually comparing dimensionality reduction algorithms. ESANN 2018
Coauthor Index
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