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Disambiguation of "Hägele, David"

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Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess

, , , and . IEEE transactions on visualization and computer graphics, (2024)
DOI: 10.1109/TVCG.2024.3364388

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

David Hägele University of Stuttgart

Paul David Hägele University of Stuttgart

Lorena Hägele University of Stuttgart

Dr. Marie Davidova University of Stuttgart

David Stieler University of Stuttgart

Modularisation Strategies for Individualised Precast Construction - Conceptual Fundamentals and Research Directions, , , , , , , , , and 10 other author(s). Designs, 7 (6): 143 (2023)
 

Other publications of authors with the same name

Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions, , and . 2024 IEEE 14th Symposium on Large Data Analysis and Visualization (LDAV), page 43-53. (2024)Uncertainty-Aware Multidimensional Scaling, , and . IEEE Transactions on Visualization and Computer Graphics, 29 (1): 23--32 (2023)Uncertainty visualization: Fundamentals and recent developments, , , , , , , and . it - Information Technology, 64 (4-5): 121--132 (August 2022)Visual analytics for nonlinear programming in robot motion planning., , , , and . J. Vis., 25 (1): 127-141 (2022)Visual analytics for nonlinear programming in robot motion planning, , , , and . Journal of visualization, 25 (1): 127-141 (2021)Visual Compositional Data Analytics for Spatial Transcriptomics, , and . (2024)Supplemental materials for "Two Empirical Studies on Audiovisual Semiotics of Uncertainty", , and . Software, (2025)Supplemental Material for Uncertainty-Aware Multidimensional Scaling, , and . Dataset, (2022)Related to: D. Hägele, T. Krake and D. Weiskopf, "Uncertainty-Aware Multidimensional Scaling," in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209420.Source Code for Uncertainty-Aware Multidimensional Scaling, and . Software, (2022)Related to: D. Hägele, T. Krake and D. Weiskopf, "Uncertainty-Aware Multidimensional Scaling," in IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 1, pp. 23-32, 2022. doi: 10.1109/TVCG.2022.3209420.Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions, , and . Software, (2024)Related to: L. Reichmann, D. Hägele, D. Weiskopf, "Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions" in arXiv preprint, 2024. arXiv: 2408.04129.