MSB is a late-fusion stacking framework for multimodal survival prediction under blockwise missingness that improves C-index over baselines on the PIONeeR lung cancer immunotherapy dataset.
On the consistency of supervised learning with missing values
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Numerical experiments show that measurement errors reduce the ability of Synthetic-RZ charts to detect shifts in the ratio of two normals, and taking multiple measurements per unit is not an efficient fix.
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Effect of the measurement errors on one-sided Synthetic-RZ control charts for monitoring the ratio of two normal variables
Numerical experiments show that measurement errors reduce the ability of Synthetic-RZ charts to detect shifts in the ratio of two normals, and taking multiple measurements per unit is not an efficient fix.