Model Transparency and Interpretability : Survey and Application to the
Insurance Industry

Model Transparency and Interpretability : Survey and Application to the Insurance Industry

1 September 2022

Dimitri Delcaillau

Franck Vermet

Papers citing "Model Transparency and Interpretability : Survey and Application to the Insurance Industry"

6 / 6 papers shown

Title
Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance Markéta Krùpovà Nabil Rachdi Quentin Guibert 46 0 0 27 Mar 2025
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots Xi Xin Giles Hooker Fei Huang AAML 46 7 0 29 Apr 2024
Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning Davood Pirayesh Neghab Mucahit Cevik M. Wahab 37 3 0 23 Mar 2023
Applying Machine Learning to Life Insurance: some knowledge sharing to master it Antoine Chancel L. Bradier Antoine Ly R. Ionescu Laurene Martin Marguerite Sauce 16 1 0 05 Sep 2022
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,696 0 28 Feb 2017
Node harvest N. Meinshausen 72 64 0 12 Oct 2009