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Keep Your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring.

, , , , , and . IMBSA, volume 13525 of Lecture Notes in Computer Science, page 219-234. Springer, (2022)

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Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning., , , and . SAFECOMP Workshops, volume 11094 of Lecture Notes in Computer Science, page 535-547. Springer, (2018)StaDRe and StaDRo: Reliability and Robustness Estimation of ML-Based Forecasting Using Statistical Distance Measures., , , , and . SAFECOMP Workshops, volume 13415 of Lecture Notes in Computer Science, page 289-301. Springer, (2022)SafeDrones: Real-Time Reliability Evaluation of UAVs Using Executable Digital Dependable Identities., , , , , , , , , and 2 other author(s). IMBSA, volume 13525 of Lecture Notes in Computer Science, page 252-266. Springer, (2022)Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations., , , , , and . CoRR, (2023)Engineering and Hardening of Functional Fail-Operational Architectures for Highly Automated Driving., , , , , , , and . ISSRE Workshops, page 30-35. IEEE, (2019)Keep Your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring., , , , , and . IMBSA, volume 13525 of Lecture Notes in Computer Science, page 219-234. Springer, (2022)