The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge

Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz. The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge. In Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis, editors, Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings - Workshop and Special Sessions. Volume 11731 of Lecture Notes in Computer Science, pages 391-395, Springer, 2019. [doi]

@inproceedings{HeeseWMHB19,
  title = {The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge},
  author = {Raoul Heese and Michal Walczak and Lukas Morand and Dirk Helm and Michael Bortz},
  year = {2019},
  doi = {10.1007/978-3-030-30493-5_38},
  url = {https://doi.org/10.1007/978-3-030-30493-5_38},
  researchr = {https://researchr.org/publication/HeeseWMHB19},
  cites = {0},
  citedby = {0},
  pages = {391-395},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings - Workshop and Special Sessions},
  editor = {Igor V. Tetko and Vera Kurková and Pavel Karpov and Fabian J. Theis},
  volume = {11731},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-30493-5},
}