David Hägele

According to our database, David Hägele authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material.

Tim Krake, Daniel Klötzl, David Hägele, Daniel Weiskopf

Dataset, March, 2024

2023

Uncertainty-Aware Multidimensional Scaling.

David Hägele, Tim Krake, Daniel Weiskopf

IEEE Trans. Vis. Comput. Graph., 2023

2022

Supplemental Material for Uncertainty-Aware Multidimensional Scaling.

David Hägele, Tim Krake, Daniel Weiskopf

Dataset, October, 2022

Visual analytics for nonlinear programming in robot motion planning.

David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf

J. Vis., 2022

Uncertainty visualization: Fundamentals and recent developments.

David Hägele, Christoph Schulz, Cedric Beschle, Hannah Booth, Miriam Butt, Andrea Barth, Oliver Deussen, Daniel Weiskopf

it Inf. Technol., 2022

2020

Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning.

David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf

Dataset, December, 2020

Visualization of nonlinear programming for robot motion planning.

David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf

Proceedings of the VINCI 2020: The 13th International Symposium on Visual Information Communication and Interaction, 2020