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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

O. Hadar

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Open access Aug 2026

Framework for Cross-Disaster Building Damage Assessment Using Cost-Sensitive Learning

A unified deep learning framework for building damage assessment from satellite imagery that integrates segmentation-driven feature construction, morphological processing, cost-sensitive learning, and cross-disaster evaluation to support robust performance under limited and imbalanced data conditions is presented.

Omer Aviv, A. Shmilovici, O. Hadar · 0 citations
Aug 2026

Learning What to Fail On: Failure-Mode Contextual Bandits for Adversarial Data Curation

A failure-aware adversarial retrieval-augmented framework for improving robustness in natural language understanding that combines retrieval, automated validation, contextual-bandit failure selection, and controlled adversarial retraining, enables scalable robustness improvement without additional human annotation.

Roie Kazoom, Ofir Cohen, Rami Puzis et al. · 0 citations

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