Patents by Inventor Afsin Bulbul

Afsin Bulbul 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).

  • PERFORMING PREDICTIVE INFERENCES USING MULTIPLE PREDICTIVE MODELS
    Publication number: 20230297862
    Abstract: Method, apparatus and computer program product for performing a cross-model predictive inference to generate a cross-model predictive output for a plurality of predictive inputs using a plurality of predictive models. For example, the apparatus includes at least one processor and at least one non-transitory memory including program code. The at least one non-transitory memory and the program code are configured to, with the at least one processor, obtain a model selection probability distribution which defines, for each predictive model, a respective selection probability score; obtain, for each predictive model, respective cross-model normalization data; for each predictive input, determine a cross-model predictive score; and determine, based on each determined cross-model predictive score, the cross-model predictive output.
    Type: Application
    Filed: January 27, 2023
    Publication date: September 21, 2023
    Inventors: Ana Ananthakumar, Afsin Bulbul, Andrew Lisy, Situo Liu, Hechao Sun
  • Apparatus, method, and non-transitory computer storage medium for performing predictive inferences using multiple predictive models
    Patent number: 11593694
    Abstract: Method, apparatus and computer program product for performing a cross-model predictive inference to generate a cross-model predictive output for a plurality of predictive inputs using a plurality of predictive models. For example, the apparatus includes at least one processor and at least one non-transitory memory including program code. The at least one non-transitory memory and the program code are configured to, with the at least one processor, obtain a model selection probability distribution which defines, for each predictive model, a respective selection probability score; obtain, for each predictive model, respective cross-model normalization data; for each predictive input, determine a cross-model predictive score; and determine, based on each determined cross-model predictive score, the cross-model predictive output.
    Type: Grant
    Filed: May 7, 2020
    Date of Patent: February 28, 2023
    Assignee: Groupon, Inc.
    Inventors: Ana Ananthakumar, Afsin Bulbul, Andrew Lisy, Situo Liu, Hechao Sun