Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes

Hans Weytjens, Jochen De Weerdt. Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes. In Artem Polyvyanyy, Moe Thandar Wynn, Amy Van Looy, Manfred Reichert, editors, Business Process Management - 19th International Conference, BPM 2021, Rome, Italy, September 06-10, 2021, Proceedings. Volume 12875 of Lecture Notes in Computer Science, pages 141-157, Springer, 2021. [doi]

@inproceedings{WeytjensW21,
  title = {Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes},
  author = {Hans Weytjens and Jochen De Weerdt},
  year = {2021},
  doi = {10.1007/978-3-030-85469-0_11},
  url = {https://doi.org/10.1007/978-3-030-85469-0_11},
  researchr = {https://researchr.org/publication/WeytjensW21},
  cites = {0},
  citedby = {0},
  pages = {141-157},
  booktitle = {Business Process Management - 19th International Conference, BPM 2021, Rome, Italy, September 06-10, 2021, Proceedings},
  editor = {Artem Polyvyanyy and Moe Thandar Wynn and Amy Van Looy and Manfred Reichert},
  volume = {12875},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-85469-0},
}