Author:
Park Gyunam,Küsters Aaron,Tews Mara,Pitsch Cameron,Schneider Jonathan,van der Aalst Wil M. P.
Publisher
Springer Nature Switzerland
Reference16 articles.
1. Apley, D.W., Zhu, J.: Visualizing the effects of predictor variables in black box supervised learning models. CoRR arXiv:abs/1612.08468 (2016)
2. Lecture Notes in Business Information Processing;E Bazhenova,2016
3. Frosst, N., Hinton, G.E.: Distilling a neural network into a soft decision tree. CoRR arXiv:1711.09784 (2017)
4. Gilpin, L.H., Bau, D., Yuan, B.Z., Bajwa, A., Specter, M.A., Kagal, L.: Explaining explanations: An approach to evaluating interpretability of machine learning. CoRR arXiv:1806.00069 (2018)
5. Goldstein, A., Kapelner, A., Bleich, J., Pitkin, E.: Peeking inside the black box: visualizing statistical learning with plots of individual conditional expectation. J. Comput. Graph. Stat. 24(1), 44–65 (2015)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Explainable DMN;Lecture Notes in Business Information Processing;2024