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Maribel Acosta

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#machine learning Preprint Sep 2026

Estimating Inconsistency Response Surfaces under Uncertainty in Cyber-Physical System Development

The results show that inconsistency under uncertainty can be effectively learned, analyzed, and repaired through response-surface modeling, providing a scalable foundation for uncertainty-aware consistency management in CPS development.

Johannes Mäkelburg, Tim Schwabe, Maribel Acosta · 0 citations

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