Katharina Lingelbach, Yannick Lingelbach, Sebastian Otte, Michael Bui, Tobias Künzell, Matthias Peissner. Demand Forecasting Using Ensemble Learning for Effective Scheduling of Logistic Orders. In Tareq Z. Ahram, Waldemar Karwowski, Jay Kalra, editors, Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, July 25-29, 2021, USA. Volume 271 of Lecture Notes in Networks and Systems, pages 313-321, Springer, 2021. [doi]
@inproceedings{LingelbachLOBKP21,
title = {Demand Forecasting Using Ensemble Learning for Effective Scheduling of Logistic Orders},
author = {Katharina Lingelbach and Yannick Lingelbach and Sebastian Otte and Michael Bui and Tobias Künzell and Matthias Peissner},
year = {2021},
doi = {10.1007/978-3-030-80624-8_39},
url = {https://doi.org/10.1007/978-3-030-80624-8_39},
researchr = {https://researchr.org/publication/LingelbachLOBKP21},
cites = {0},
citedby = {0},
pages = {313-321},
booktitle = {Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, July 25-29, 2021, USA},
editor = {Tareq Z. Ahram and Waldemar Karwowski and Jay Kalra},
volume = {271},
series = {Lecture Notes in Networks and Systems},
publisher = {Springer},
isbn = {978-3-030-80624-8},
}