Ranking Companion integrates six complementary item-selection methods with model-driven active learning in a visual analytics interface to support iterative personalized ranking creation via known-item judgments.
PA VED: pareto front visualization for engineering design,
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ParamInter is a guided visual interpolation tool for high-dimensional parameter space analysis that integrates t-SNE and XAI to support optimization, demonstrated on blast furnace modeling.
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Ranking Companion: A Visual Analytics Approach to Item-Based Ranking with Hybrid Item Selection
Ranking Companion integrates six complementary item-selection methods with model-driven active learning in a visual analytics interface to support iterative personalized ranking creation via known-item judgments.
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Parameter Space Analysis through Guided Visual Interpolations
ParamInter is a guided visual interpolation tool for high-dimensional parameter space analysis that integrates t-SNE and XAI to support optimization, demonstrated on blast furnace modeling.