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Towards Green Automated Machine Learning: Status Quo and Future Directions., , , , , and . J. Artif. Intell. Res., (2023)Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions., , , , , , , , , and 7 other author(s). Sensors, 20 (7): 2099 (2020)AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks., , , , , , , , , and 1 other author(s). CoRR, (2023)Algorithm Selection on a Meta Level., , , , and . CoRR, (2021)Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning., , , and . AAAI, page 12172-12180. AAAI Press, (2024)Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning., , , and . CoRR, (2023)Algorithm selection on a meta level., , , , and . Mach. Learn., 112 (4): 1253-1286 (April 2023)Towards Green Automated Machine Learning: Status Quo and Future Directions., , , , , and . CoRR, (2021)PyExperimenter: Easily distribute experiments and track results., , , , , , , and . CoRR, (2023)Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance., , , and . GECCO, page 368-376. ACM, (2021)