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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 visualization: Fundamentals and recent developments, , , , , , , and . it - Information Technology, 64 (4-5): 121--132 (August 2022)Uncertainty-Aware Multidimensional Scaling, , and . IEEE Transactions on Visualization and Computer Graphics, 29 (1): 23--32 (2023)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)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.Visual Compositional Data Analytics for Spatial Transcriptomics, , and . (2024)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.Maximum Entropy and Quantized Metric Models for Absolute Category Ratings, , , , and . IEEE signal processing letters, (2024)