62 citations · 615 across the 49 of their papers we have counts for
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Data Type Agnostic Visual Sensitivity Analysis
Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann +4
Modern science and industry rely on computational models for simulation, prediction, and data analysis. Spatial blind source separation (SBSS) is a model used to analyze spatial da…
Visual Parameter Selection for Spatial Blind Source Separation
Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann +3
Analysis of spatial multivariate data, i.e., measurements at irregularly-spaced locations, is a challenging topic in visualization and statistics alike. Such data are integral to m…
TBSSvis: Visual Analytics for Temporal Blind Source Separation
Nikolaus Piccolotto, Markus Bögl, Theresia Gschwandtner +4
Temporal Blind Source Separation (TBSS) is used to obtain the true underlying processes from noisy temporal multivariate data, such as electrocardiograms. TBSS has similarities to…