Patents by Inventor ROBERT CHAMOUN

ROBERT CHAMOUN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • SYSTEM AND METHOD FOR DETERMINING EXPECTED LOSS USING A MACHINE LEARNING FRAMEWORK
    Publication number: 20250148321
    Abstract: A computing device for predicting an expected loss for a set of claim transactions is provided. The computing device predicts, at a first machine learning model, a claim frequency of the set of claim transactions over a given time period and trained using historical frequency data and based on a segment type defining a type of claim, each type of segment having peril types. The computing device also predicts, at a second machine learning model, claim severity of the set of claim transactions during the given time period, the second machine learning model trained using historical severity data and based on the segment type and the corresponding peril types. The computing device then determines the expected loss for the set of claim transactions over the given time period by applying a product of prediction of the first machine learning model and the second machine learning model.
    Type: Application
    Filed: January 10, 2025
    Publication date: May 8, 2025
    Inventors: ILYA STANEVICH, MAXIME LAFLEUR-FORCIER, XULING WANG, PHILIPPE MEUNIER, MATHIEU JACOB, ROBERT CHAMOUN, BRUNO VEILLETE-COSSETTE
  • System and method for determining expected loss using a machine learning framework
    Patent number: 12229690
    Abstract: A computing device for predicting an expected loss for a set of claim transactions is provided. The computing device predicts, at a first machine learning model, a claim frequency of the set of claim transactions over a given time period and trained using historical frequency data and based on a segment type defining a type of claim, each type of segment having peril types. The computing device also predicts, at a second machine learning model, claim severity of the set of claim transactions during the given time period, the second machine learning model trained using historical severity data and based on the segment type and the corresponding peril types. The computing device then determines the expected loss for the set of claim transactions over the given time period by applying a product of prediction of the first machine learning model and the second machine learning model.
    Type: Grant
    Filed: June 24, 2021
    Date of Patent: February 18, 2025
    Assignee: THE TORONTO-DOMINION BANK
    Inventors: Ilya Stanevich, Maxime Lafleur-Forcier, Xuling Wang, Philippe Meunier, Mathieu Jacob, Robert Chamoun, Bruno Veillete-Cossette
  • SYSTEM AND METHOD FOR DETERMINING EXPECTED LOSS USING A MACHINE LEARNING FRAMEWORK
    Publication number: 20220414495
    Abstract: A computing device for predicting an expected loss for a set of claim transactions is provided. The computing device predicts, at a first machine learning model, a claim frequency of the set of claim transactions over a given time period and trained using historical frequency data and based on a segment type defining a type of claim, each type of segment having peril types. The computing device also predicts, at a second machine learning model, claim severity of the set of claim transactions during the given time period, the second machine learning model trained using historical severity data and based on the segment type and the corresponding peril types. The computing device then determines the expected loss for the set of claim transactions over the given time period by applying a product of prediction of the first machine learning model and the second machine learning model.
    Type: Application
    Filed: June 24, 2021
    Publication date: December 29, 2022
    Inventors: ILYA STANEVICH, MAXIME LAFLEUR-FORCIER, XULING WANG, PHILIPPE MEUNIER, MATHIEU JACOB, ROBERT CHAMOUN, BRUNO VEILLETE-COSSETTE