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Till Frederik Porrmann

Till Porrmann

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2023
[c2]
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Michael Römer, Felix Hagemann, Till Frederik Porrmann:
Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands. LION 2023: 254-269
2021
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Till Porrmann, Michael Römer:
Learning to Reduce State-Expanded Networks for Multi-activity Shift Scheduling. CPAIOR 2021: 383-391

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