Boosting insights in insurance tariff plans with tree-based machine learning methods

12 April 2019

Papers citing "Boosting insights in insurance tariff plans with tree-based machine learning methods"

6 / 6 papers shown

Title
Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff Freek Holvoet Katrien Antonio Roel Henckaerts 107 3 0 20 Jan 2025
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots Xi Xin Giles Hooker Fei Huang AAML 51 7 0 29 Apr 2024
Conformal prediction for frequency-severity modeling Helton Graziadei Paulo C. Marques E. Melo Rodrigo S. Targino 23 0 0 24 Jul 2023
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications Benjamin Avanzi G. Taylor Melantha Wang Bernard Wong 29 12 0 30 Jan 2023
Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning Feras A. Batarseh M. Gopinath A. Monken Zhengrong Gu 23 14 0 15 Nov 2021
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates Roel Henckaerts Katrien Antonio Marie-Pier Côté 23 3 0 14 Jul 2020