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cs.HC2026
ShapDBM: Exploring Decision Boundary Maps in Shapley Space
Luke Watkin, Daniel Archambault, Alex Telea
Decision Boundary Maps (DBMs) are an effective tool for visualising machine learning classification boundaries. Yet, DBM quality strongly depends on the dimensionality reduction (D…
cs.HC2026
LCIP: Loss-Controlled Inverse Projection of High-Dimensional Image Data
Yu Wang, Frederik L. Dennig, Michael Behrisch +1
Projections (or dimensionality reduction) methods aim to map high-dimensional data to typically 2D scatterplots for visual exploration. Inverse projection methods aim…