Model transparency and interpretability: survey and application to the insurance industry

Author:

Delcaillau Dimitri,Ly Antoine,Papp Alize,Vermet FranckORCID

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability

Reference35 articles.

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2. Adadi A, Berrada M (2018) Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE Access 6:52138–52160

3. Alvarez-Melis D, Jaakkola T (2018) On the robustness of interpretability methods. In: Proceedings of the 2018 ICML workshop in human interpretability in machine learning. arXiv:1806.08049

4. Alvarez-Melis D, Jaakkola T (2018) Towards robust interpretability with self-explaining neural networks. In: 32nd conference on neural information processing systems (NeurIPS 2018). arXiv:1806.07538

5. Andrews R, Diederich J, Tickle AB (1995) Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-Based Syst 8(6):373–389

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