2 papers
cs.LG2025
MLMC: Interactive multi-label multi-classifier evaluation without confusion matrices
Aleksandar Doknic, Torsten Möller
Machine learning-based classifiers are commonly evaluated by metrics like accuracy, but deeper analysis is required to understand their strengths and weaknesses. MLMC is a visual e…
cs.HC2024
RSVP for VPSA : A Meta Design Study on Rapid Suggestive Visualization Prototyping for Visual Parameter Space Analysis
Manfred Klaffenboeck, Michael Gleicher, Johannes Sorger +2
Visual Parameter Space Analysis (VPSA) enables domain scientists to explore input-output relationships of computational models. Existing VPSA applications often feature multi-view…