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Handling Uncertainty in Collaborative Embedded Systems Engineering.

, , , , , и . Model-Based Engineering of Collaborative Embedded Systems, Springer, (2021)

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Michael Kläs

Friedrich-Wilhelm Kläs

Rüdiger Kläs

Peter Kläs

Heinz-Gerd Kläs

 

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Uncertainty Wrappers for Data-Driven Models - Increase the Transparency of AI/ML-Based Models Through Enrichment with Dependable Situation-Aware Uncertainty Estimates., и . SAFECOMP Workshops, том 11699 из Lecture Notes in Computer Science, стр. 358-364. Springer, (2019)Handling Uncertainty in Collaborative Embedded Systems Engineering., , , , , и . Model-Based Engineering of Collaborative Embedded Systems, Springer, (2021)Handling Uncertainties of Data-Driven Models in Compliance with Safety Constraints for Autonomous Behaviour., , , , и . EDCC, стр. 95-102. IEEE, (2021)Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning., , , и . DSN-W, стр. 231-238. IEEE, (2023)Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates., и . SAFECOMP, том 12852 из Lecture Notes in Computer Science, стр. 18-33. Springer, (2021)Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception., , , , , и . SAFECOMP, том 13414 из Lecture Notes in Computer Science, стр. 284-297. Springer, (2022)Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview.. CoRR, (2018)Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning?, , , и . SAFECOMP Workshops, том 14182 из Lecture Notes in Computer Science, стр. 314-327. Springer, (2023)Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice., , , , и . CoRR, (2023)A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models., , и . SafeAI@AAAI, том 3087 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)