14 citations · 38 across the 7 of their papers we have counts for
9 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…
Synthetic Dataset Generation of Driver Telematics
Banghee So, Jean-Philippe Boucher, Emiliano A. Valdez
This article describes techniques employed in the production of a synthetic dataset of driver telematics emulated from a similar real insurance dataset. The synthetic dataset gener…
Cost-sensitive Multi-class AdaBoost for Understanding Driving Behavior with Telematics
Banghee So, Jean-Philippe Boucher, Emiliano A. Valdez
Powered with telematics technology, insurers can now capture a wide range of data, such as distance traveled, how drivers brake, accelerate or make turns, and travel frequency each…
Physics of rowing oars
Romain Labbé, Jean-Philippe Boucher, Christophe Clanet +1
In each rowing sport, the oars have their very own characteristics most of the time selected through a long time experience. Here we address experimentally and theoretically the pr…