A Deep Multi-Task Approach for Residual Value Forecasting

Rashed et al. "A Deep Multi-Task Approach for Residual Value Forecasting." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019. doi:10.1007/978-3-030-46133-1_28

[Rashed et al. "A Deep Multi-Task Approach for Residual Value Forecasting." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019.](https://mlanthology.org/ecmlpkdd/2019/rashed2019ecmlpkdd-deep/) doi:10.1007/978-3-030-46133-1_28

@inproceedings{rashed2019ecmlpkdd-deep,
  title     = {{A Deep Multi-Task Approach for Residual Value Forecasting}},
  author    = {Rashed, Ahmed and Jawed, Shayan and Rehberg, Jens and Grabocka, Josif and Schmidt-Thieme, Lars and Hintsches, Andre},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2019},
  pages     = {467-482},
  doi       = {10.1007/978-3-030-46133-1_28},
  url       = {https://mlanthology.org/ecmlpkdd/2019/rashed2019ecmlpkdd-deep/}
}