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.
F., & Darozat, F
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This review synthesizes task definitions, technical approaches from computer vision to multimodal fusion, applications in intelligent feeding, and open challenges in fish feeding behavior analysis for aquaculture.
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Multimodality Stacking with Blockwise missing values and application to the PIONeeR biomarkers study for prediction of resistance to immunotherapy
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.
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A Comprehensive Review of Fish Feeding Behavior Analysis in Aquaculture: Tasks, Techniques, and Applications
This review synthesizes task definitions, technical approaches from computer vision to multimodal fusion, applications in intelligent feeding, and open challenges in fish feeding behavior analysis for aquaculture.