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20192023
most citedA Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models

4 citations · 9 across the 5 of their papers we have counts for

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cs.SE2022★ 1 cited

Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception

Janek Groß, Rasmus Adler, Michael Kläs +3

Data-driven models (DDM) based on machine learning and other AI techniques play an important role in the perception of increasingly autonomous systems. Due to the merely implicit d…