1 Publikation
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984133Römer, M., Hagemann, F., and Porrmann, T. (2023). “Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands” in Learning and Intelligent Optimization. 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers, Sellmann, M., and Tierney, K. eds. Lecture Notes in Computer Science (Cham: Springer International Publishing), 254-269.PUB | DOI