David Hägele

17 papers C 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Two Empirical Studies on Audiovisual Semiotics of Uncertainty.
Audio Mostly Conference
Sita Aukje Vriend, David Hägele, Daniel Weiskopf
2025 J jnl
Two Empirical Studies on Audiovisual Semiotics of Uncertainty.
CoRR
Sita Vriend, David Hägele, Daniel Weiskopf
2025 J jnl
Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models.
CoRR
Daniel Klötzl, Ozan Tastekin, David Hägele, Marina Evers, Daniel Weiskopf
2025 J jnl
Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess.
IEEE Trans. Vis. Comput. Graph.
Tim Krake, Daniel Klötzl, David Hägele, Daniel Weiskopf
2024 J jnl
Maximum Entropy and Quantized Metric Models for Absolute Category Ratings.
IEEE Signal Process. Lett.
Dietmar Saupe, Krzysztof Rusek, David Hägele, Daniel Weiskopf, Lucjan Janowski
2024 J jnl
Maximum entropy and quantized metric models for absolute category ratings.
CoRR
Dietmar Saupe, Krzysztof Rusek, David Hägele, Daniel Weiskopf, Lucjan Janowski
2024 — conf
Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions.
LDAV
Luca Reichmann, David Hägele, Daniel Weiskopf
2024 J jnl
Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions.
CoRR
Luca Reichmann, David Hägele, Daniel Weiskopf
2024 J jnl
Progressive Glimmer: Expanding Dimensionality in Multidimensional Scaling.
CoRR
Marina Evers, David Hägele, Sören Döring, Daniel Weiskopf
2024 — conf
UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox.
UncertaintyVis@VIS
Patrick Paetzold, David Hägele, Marina Evers, Daniel Weiskopf, Oliver Deussen
2024 J jnl
UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox.
CoRR
Patrick Paetzold, David Hägele, Marina Evers, Daniel Weiskopf, Oliver Deussen
2024 J jnl
Visual Compositional Data Analytics for Spatial Transcriptomics.
CoRR
David Hägele, Yuxuan Tang, Daniel Weiskopf
2023 J jnl
Uncertainty-Aware Multidimensional Scaling.
IEEE Trans. Vis. Comput. Graph.
David Hägele, Tim Krake, Daniel Weiskopf
2022 J jnl
Uncertainty visualization: Fundamentals and recent developments.
it Inf. Technol.
David Hägele, Christoph Schulz, Cedric Beschle, Hannah Booth, Miriam Butt, Andrea Barth, Oliver Deussen, Daniel Weiskopf
2022 J jnl
Visual analytics for nonlinear programming in robot motion planning.
J. Vis.
David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf
2021 J jnl
Visualization of Nonlinear Programming for Robot Motion Planning.
CoRR
David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf
2020 C conf
Visualization of nonlinear programming for robot motion planning.
VINCI
David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf