David Hägele

Orcid: 0000-0002-2679-6882

According to our database1, David Hägele authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material.
Dataset, March, 2024

Maximum Entropy and Quantized Metric Models for Absolute Category Ratings.
IEEE Signal Process. Lett., 2024

Progressive Glimmer: Expanding Dimensionality in Multidimensional Scaling.
CoRR, 2024

Visual Compositional Data Analytics for Spatial Transcriptomics.
CoRR, 2024

UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox.
Proceedings of the IEEE Workshop on Uncertainty Visualization: Applications, 2024

Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions.
Proceedings of the 14th IEEE Symposium on Large Data Analysis and Visualization, 2024

2023
Uncertainty-Aware Multidimensional Scaling.
IEEE Trans. Vis. Comput. Graph., 2023

2022
Supplemental Material for Uncertainty-Aware Multidimensional Scaling.
Dataset, October, 2022

Visual analytics for nonlinear programming in robot motion planning.
J. Vis., 2022

Uncertainty visualization: Fundamentals and recent developments.
it Inf. Technol., 2022

2020
Supplemental Material for Visualization of Nonlinear Programming for Robot Motion Planning.
Dataset, December, 2020

Visualization of nonlinear programming for robot motion planning.
Proceedings of the VINCI 2020: The 13th International Symposium on Visual Information Communication and Interaction, 2020


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