An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components

Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev. An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components. In M. Arif Wani, Taghi M. Khoshgoftaar, Dingding Wang 0001, Huanjing Wang, Naeem Seliya, editors, 18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019. pages 134-139, IEEE, 2019. [doi]

@inproceedings{Rivera-CastroNX19-0,
  title = {An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components},
  author = {Rodrigo Rivera-Castro and Ivan Nazarov and Yuke Xiang and Ivan Maksimov and Aleksandr Pletnev and Evgeny Burnaev},
  year = {2019},
  doi = {10.1109/ICMLA.2019.00029},
  url = {https://doi.org/10.1109/ICMLA.2019.00029},
  researchr = {https://researchr.org/publication/Rivera-CastroNX19-0},
  cites = {0},
  citedby = {0},
  pages = {134-139},
  booktitle = {18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019},
  editor = {M. Arif Wani and Taghi M. Khoshgoftaar and Dingding Wang 0001 and Huanjing Wang and Naeem Seliya},
  publisher = {IEEE},
  isbn = {978-1-7281-4550-1},
}