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Density-Based Core Support Extraction for Non-stationary Environments with Extreme Verification Latency.

, , , , and . BRACIS, page 181-187. IEEE Computer Society, (2018)

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Out-Of-Distribution Detection Is Not All You Need., , , and . CoRR, (2022)Workshop on Safer Autonomous Systems: Special theme: safety-aware design and validation of autonomous systems., , and . DSN Workshops, page xvii. IEEE, (2021)Platform of the Brazilian CSOs: Open Government Data and Crowdsourcing for the Promotion of Citizenship., , , , , and . SBSI, page 17-24. (2017)TransReport: collaborative supervision of the public transportation., , , , , and . SAC, page 1808-1813. ACM, (2017)AMANDA: Semi-supervised density-based adaptive model for non-stationary data with extreme verification latency., , and . Inf. Sci., (2019)Unifying Evaluation of Machine Learning Safety Monitors., , , and . ISSRE, page 414-422. IEEE, (2022)Runtime safety monitoring of ML-based perception functions in autonomous systems. (Développement d'un cadre générique pour surveiller et gérer la sécurité des systèmes autonomes pendant l'exécution).. Paul Sabatier University, Toulouse, France, (2023)Towards safety monitoring of ML-based perception tasks of autonomous systems.. ISSRE Workshops, page 135-138. IEEE, (2020)Benchmarking Safety Monitors for Image Classifiers with Machine Learning., , , and . PRDC, page 7-16. IEEE, (2021)SENA: Similarity-Based Error-Checking of Neural Activations., , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 724-731. IOS Press, (2023)