9 citations · 9 across the 3 of their papers we have counts for
3 papers
Telematics Combined Actuarial Neural Networks for Cross-Sectional and Longitudinal Claim Count Data
Francis Duval, Jean-Philippe Boucher, Mathieu Pigeon
We present novel cross-sectional and longitudinal claim count models for vehicle insurance built upon the Combined Actuarial Neural Network (CANN) framework proposed by Mario Wüthr…
Enhancing Claim Classification with Feature Extraction from Anomaly-Detection-Derived Routine and Peculiarity Profiles
Francis Duval, Jean-Philippe Boucher, Mathieu Pigeon
Usage-based insurance is becoming the new standard in vehicle insurance; it is therefore relevant to find efficient ways of using insureds' driving data. Applying anomaly detection…
How much telematics information do insurers need for claim classification?
Francis Duval, Jean-Philippe Boucher, Mathieu Pigeon
It has been shown several times in the literature that telematics data collected in motor insurance help to better understand an insured's driving risk. Insurers that use this data…