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Mohammed Belghadi

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Selective Cross-modal Feature Enhancement Through Collaborative Learning

Selective Cross-Modal Learning is introduced, a lightweight pre-fusion refinement framework that enriches unimodal embeddings by selectively incorporating complementary cues from concurrently available modalities and maintains its advantage under missing-pathology and missing-genomics conditions.

Mohammed Belghadi, Younès Bennani, Valérie Paradis · 0 citations