Gradient Boosting and Deep Learning Models Approach to Forecasting Promotions Efficiency in FMCG Retail

Joanna Henzel, Marek Sikora. Gradient Boosting and Deep Learning Models Approach to Forecasting Promotions Efficiency in FMCG Retail. In Leszek Rutkowski, Rafal Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II. Volume 12416 of Lecture Notes in Computer Science, pages 336-345, Springer, 2020. [doi]

@inproceedings{HenzelS20-0,
  title = {Gradient Boosting and Deep Learning Models Approach to Forecasting Promotions Efficiency in FMCG Retail},
  author = {Joanna Henzel and Marek Sikora},
  year = {2020},
  doi = {10.1007/978-3-030-61534-5_30},
  url = {https://doi.org/10.1007/978-3-030-61534-5_30},
  researchr = {https://researchr.org/publication/HenzelS20-0},
  cites = {0},
  citedby = {0},
  pages = {336-345},
  booktitle = {Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II},
  editor = {Leszek Rutkowski and Rafal Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M. Zurada},
  volume = {12416},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-61534-5},
}