Patents by Inventor Tselmeg Otgonbayar SHPONKO

Tselmeg Otgonbayar SHPONKO 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).

  • Methods and systems for detecting transaction laundering
    Patent number: 11651462
    Abstract: Methods and systems are described. A method includes accessing training data samples that includes a plurality of transaction laundering associated features and generating random samples, training a first plurality of different models to identify transaction laundering merchants based on random samples generated from each of the training data samples, training a second plurality of different models to identify the transaction laundering merchants based on the training data, generating a transaction laundering classification for a merchant from each of the first plurality of models and each of the second plurality of models, generating a first model group classification based on a first majority vote on transaction laundering classifications from the first plurality of models, and generating a second model group classification based on a second majority vote on transaction laundering classifications from the second plurality of models. A likelihood that the merchant is a transaction launderer is determined.
    Type: Grant
    Filed: January 7, 2020
    Date of Patent: May 16, 2023
    Assignee: Visa International Service Association
    Inventors: Michael Hsiang Tsung, Tselmeg Otgonbayar Shponko, Ratinder Bedi, Girish Ramachandran, Martin Charles Elliott
  • METHODS AND SYSTEMS FOR DETECTING TRANSACTION LAUNDERING
    Publication number: 20210209613
    Abstract: Methods and systems are described. A method includes accessing training data samples that includes a plurality of transaction laundering associated features and generating random samples, training a first plurality of different models to identify transaction laundering merchants based on random samples generated from each of the training data samples, training a second plurality of different models to identify the transaction laundering merchants based on the training data, generating a transaction laundering classification for a merchant from each of the first plurality of models and each of the second plurality of models, generating a first model group classification based on a first majority vote on transaction laundering classifications from the first plurality of models, and generating a second model group classification based on a second majority vote on transaction laundering classifications from the second plurality of models. A likelihood that the merchant is a transaction launderer is determined.
    Type: Application
    Filed: January 7, 2020
    Publication date: July 8, 2021
    Applicant: Visa International Service Association
    Inventors: Michael Hsiang TSUNG, Tselmeg Otgonbayar SHPONKO, Ratinder BEDI, Girish RAMACHANDRAN, Martin Charles ELLIOTT