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Self-adaptive Machine Learning Systems: Research Challenges and Opportunities.

, , , , , and . ECSA (Tracks and Workshops), volume 13365 of Lecture Notes in Computer Science, page 133-155. Springer, (2021)

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Lynceus: Tuning and Provisioning Data Analytic Jobs on a Budget., , , , and . CoRR, (2019)Self-Adaptation for Machine Learning Based Systems., , , , , and . ECSA (Companion), volume 2978 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Self-adaptive Machine Learning Systems: Research Challenges and Opportunities., , , , , and . ECSA (Tracks and Workshops), volume 13365 of Lecture Notes in Computer Science, page 133-155. Springer, (2021)HyperJump: Accelerating HyperBand via Risk Modelling., , , and . AAAI, page 9143-9152. AAAI Press, (2023)Towards a Framework for Adapting Machine Learning Components., , , and . ACSOS, page 131-140. IEEE, (2022)Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs., , , , , and . ICDCS, page 56-66. IEEE, (2020)TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling., , , and . MASCOTS, page 1-8. IEEE, (2020)A Probabilistic Model Checking Approach to Self-adapting Machine Learning Systems., , , , and . SEFM Workshops, volume 13230 of Lecture Notes in Computer Science, page 317-332. Springer, (2021)Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework., , , , and . ACM Trans. Auton. Adapt. Syst., 19 (3): 18:1-18:30 (September 2024)ADMINISTRACÃO PÚBLICA E PLANEJAMENTO NO ESTADO BRASILEIRO: QUAL A CONTRIBUICÃO A SER FEITA PELO DIREITO ADMINISTRATIVO?. Revista Juridica, 4 (45): 56--76 (2016)