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Using Complementary Risk Acceptance Criteria to Structure Assurance Cases for Safety-Critical AI Components., , , , and . AISafety@IJCAI, volume 2916 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning., , , and . DSN-W, page 231-238. IEEE, (2023)Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception., , , , , and . SAFECOMP, volume 13414 of Lecture Notes in Computer Science, page 284-297. Springer, (2022)Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning?, , , and . SAFECOMP Workshops, volume 14182 of Lecture Notes in Computer Science, page 314-327. Springer, (2023)Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning., , , , , , , , , and 1 other author(s). PROFES (1), volume 14483 of Lecture Notes in Computer Science, page 151-158. Springer, (2023)Directional Message Passing for Molecular Graphs., , and . ICLR, OpenReview.net, (2020)A systematic review of Python packages for time series analysis., , and . CoRR, (2021)Towards a Common Testing Terminology for Software Engineering and Data Science Experts., , , , and . PROFES, volume 13126 of Lecture Notes in Computer Science, page 281-289. Springer, (2021)Reliability Estimation of ML for Image Perception: A Lightweight Nonlinear Transformation Approach Based on Full Reference Image Quality Metrics., , , , , , , , and . MCSoC, page 186-193. IEEE, (2023)Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts., , , , and . CoRR, (2021)