Kontakt
Allmandring 19
70569 Stuttgart
Deutschland
Raum: 00.010
2023
- Hägele, David ; Krake, Tim ; Weiskopf, Daniel: Uncertainty-Aware Multidimensional Scaling. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 29 (2023), Nr. 1, S. 23--32
2022
- Hägele, David ; Krake, Tim ; Weiskopf, Daniel: Uncertainty-Aware Multidimensional Scaling. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 29 (2022), Nr. 1, S. 1–10
- Hägele, David ; Schulz, Christoph ; Beschle, Cedric ; Booth, Hannah ; Butt, Miriam ; Barth, Andrea ; Deussen, Oliver ; Weiskopf, Daniel: Uncertainty Visualization: Fundamentals and Recent Developments. In: it - Information Technology, it - Information Technology. Bd. 64 (2022), Nr. 4–5, S. 121–132
2021
- Hägele, David ; Abdelaal, Moataz ; Oguz, Ozgur S. ; Toussaint, Marc ; Weiskopf, Daniel: Visual analytics for nonlinear programming in robot motion planning. In: Journal of Visualization, Journal of Visualization. (2021)
2020
- Hägele, David ; Abdelaal, Moataz ; Oguz, Ozgur S. ; Toussaint, Marc ; Weiskopf, Daniel: Visualization of Nonlinear Programming for Robot Motion Planning. In: Proceedings of the 13th International Symposium on Visual Information Communication and Interaction, Proceedings of the 13th International Symposium on Visual Information Communication and Interaction. Eindhoven, Netherlands : Association for Computing Machinery, 2020 — ISBN 9781450387507
Vorlesungen/Kurse
- Practical Course Information Visualization
- Programmierung für Medieninformatik (Practical Course)
- Datenstrukturen und Algorithmen
Abschlussarbeiten/Projekte/Thesis
- Visual Exploration for Deep Learning Models and Trainings for Microstructure Data (Master Thesis)
- Reproducing, Extending and Updating Dimensionality Reductions (Master Thesis)
- A Curated Collection of Multivariate Timeseries for Visualization Benchmarks (Bachelor Forschungsprojekt)