Patents by Inventor Sajama

Sajama 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).

  • Adaptive Fraud Detection
    Publication number: 20200151628
    Abstract: A computer-implemented method for technologically improving a computer-implemented machine-learning model, the method comprising receiving, by a model, at least a first data record; generating a first score representing a first likelihood that the first data record is associated with a first classification, in response to feedback received from one or more data sources communicating with at least one computing system on which the model is implemented; generating a second score to represent a second likelihood that the first data record is associated with the first classification, in response to the first score being higher than a threshold value.
    Type: Application
    Filed: November 12, 2019
    Publication date: May 14, 2020
    Applicant: FICO
    Inventors: Scott M. Zoldi, Larry Peranich, Jehangir Athwal, Uwe Mayer, Sajama
  • Adaptive fraud detection
    Patent number: 10510025
    Abstract: A computer-implemented method includes receiving a new data record associated with a transaction, and generating, using an adaptive model executed by the computer, a score to represent a likelihood that the transaction is associated with fraud. The adaptive model employs feedback from one or more external data sources, the feedback containing information about one or more previous data records associated with fraud and non-fraud by at least one of the one or more external data sources. Further, the adaptive model uses the information about the one or more previous data records as input variables to update scoring parameters used to generate the score for the new data record.
    Type: Grant
    Filed: February 29, 2008
    Date of Patent: December 17, 2019
    Assignee: FAIR ISAAC CORPORATION
    Inventors: Scott M. Zoldi, Larry Peranich, Jehangir Athwal, Uwe Mayer, Sajama
  • Adaptive Analytics
    Publication number: 20090222243
    Abstract: A computer-implemented method includes receiving a new data record associated with a transaction, and generating, using an adaptive model executed by the computer, a score to represent a likelihood that the transaction is associated with fraud. The adaptive model employs feedback from one or more external data sources, the feedback containing information about one or more previous data records associated with fraud and non-fraud by at least one of the one or more external data sources. Further, the adaptive model uses the information about the one or more previous data records as input variables to update scoring parameters used to generate the score for the new data record.
    Type: Application
    Filed: February 29, 2008
    Publication date: September 3, 2009
    Inventors: Scott M. Zoldi, Larry Peranich, Jehangir Athwal, Uwe Mayer, Sajama