Patents by Inventor Michael ARMANIOUS

Michael ARMANIOUS 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).

  • Identification of mismatch geodata based on an ensemble of weak supervision-based match labels and geo similarity models
    Patent number: 12204615
    Abstract: The disclosure relates to methods and systems of generating geodata match classifications based on an ensemble of weak supervision-based match labels and geo-similarity models. The system may generate at least two match classifiers that are ensembled together. The match classifiers may include a location name classifier and a geo-similarity classifier. The location name classifier may generate a match classification that is based on a similarity of characters of the location names. The geo-similarity classifier may generate a match classification that is based on a proximity of the geolocations defined by the location names. The match classifications may be aggregated together to generate a geodata match classification.
    Type: Grant
    Filed: May 17, 2023
    Date of Patent: January 21, 2025
    Assignee: MASTERCARD INTERNATIONAL INCORPORATED
    Inventors: Srikanth Potukuchi, Ravi Santosh Arvapally, Michael Armanious, Ahmed Menshawy
  • IDENTIFICATION OF MISMATCH GEODATA BASED ON AN ENSEMBLE OF WEAK SUPERVISION-BASED MATCH LABELS AND GEO SIMILARITY MODELS
    Publication number: 20240394339
    Abstract: The disclosure relates to methods and systems of generating geodata match classifications based on an ensemble of weak supervision-based match labels and geo-similarity models. The system may generate at least two match classifiers that are ensembled together. The match classifiers may include a location name classifier and a geo-similarity classifier. The location name classifier may generate a match classification that is based on a similarity of characters of the location names. The geo-similarity classifier may generate a match classification that is based on a proximity of the geolocations defined by the location names. The match classifications may be aggregated together to generate a geodata match classification.
    Type: Application
    Filed: May 17, 2023
    Publication date: November 28, 2024
    Applicant: MASTERCARD INTERNATIONAL INCORPORATED
    Inventors: Srikanth POTUKUCHI, Ravi Santosh ARVAPALLY, Michael ARMANIOUS, Ahmed MENSHAWY