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2020 – today
- 2024
[j4]Dietmar Saupe, Krzysztof Rusek, David Hägele, Daniel Weiskopf, Lucjan Janowski:
Maximum Entropy and Quantized Metric Models for Absolute Category Ratings. IEEE Signal Process. Lett. 31: 2970-2974 (2024)- [d3]Tim Krake
, Daniel Klötzl, David Hägele, Daniel Weiskopf:
Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material. DaRUS, 2024
- [i5]Luca Reichmann, David Hägele, Daniel Weiskopf:
Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions. CoRR abs/2408.04129 (2024) - [i4]David Hägele, Yuxuan Tang, Daniel Weiskopf:
Visual Compositional Data Analytics for Spatial Transcriptomics. CoRR abs/2409.07306 (2024) - [i3]Patrick Paetzold, David Hägele, Marina Evers, Daniel Weiskopf, Oliver Deussen:
UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox. CoRR abs/2409.10217 (2024) - [i2]Dietmar Saupe, Krzysztof Rusek, David Hägele, Daniel Weiskopf, Lucjan Janowski:
Maximum entropy and quantized metric models for absolute category ratings. CoRR abs/2410.00817 (2024) - 2023
- [j3]David Hägele, Tim Krake, Daniel Weiskopf:
Uncertainty-Aware Multidimensional Scaling. IEEE Trans. Vis. Comput. Graph. 29(1): 23-32 (2023) - 2022
- [j2]David Hägele, Christoph Schulz, Cedric Beschle, Hannah Booth, Miriam Butt, Andrea Barth, Oliver Deussen, Daniel Weiskopf:
Uncertainty visualization: Fundamentals and recent developments. it Inf. Technol. 64(4-5): 121-132 (2022) - [j1]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visual analytics for nonlinear programming in robot motion planning. J. Vis. 25(1): 127-141 (2022) - [d2]David Hägele, Tim Krake, Daniel Weiskopf:
Supplemental Material for Uncertainty-Aware Multidimensional Scaling. DaRUS, 2022 - 2021
- [i1]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visualization of Nonlinear Programming for Robot Motion Planning. CoRR abs/2101.12075 (2021) - 2020
- [c1]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visualization of nonlinear programming for robot motion planning. VINCI 2020: 10:1-10:8 - [d1]David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning. DaRUS, 2020
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