Patents by Inventor Barath Narayanan

Barath Narayanan 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).

  • SYSTEMS AND METHODS FOR TRANSFER-TO-TRANSFER LEARNING-BASED TRAINING OF A MACHINE LEARNING MODEL FOR DETECTING MEDICAL CONDITIONS
    Publication number: 20210327585
    Abstract: Systems and methods for transfer-to-transfer training using an imbalanced training dataset include reconfiguring an imbalanced training data corpus to a plurality of distinct class-balanced mini-corpora of training data, wherein the reconfiguring includes: (i) partitioning the imbalanced training data corpus into a plurality of mini-corpora of training data samples in which each distinct mini-corpus of the plurality of mini-corpora includes an entirety of the training data samples within the second subset of training data samples; and (ii) allocating an equal number of the training data samples of the first subset into each of the plurality of mini-corpora of training data samples; and transfer-to-transfer learning-based training a subject machine learning algorithm to a trained machine learning model based on implementing the transfer-to-transfer learning-based training using the plurality of distinct class-balanced mini-corpora, wherein in use, the trained machine learning model predicts a presence or a non
    Type: Application
    Filed: July 1, 2021
    Publication date: October 21, 2021
    Inventors: Barath Narayanan, Russell Hardie, Vignesh Krishnaraja, Srikanth Kodeboyina
  • Systems and methods for transfer-to-transfer learning-based training of a machine learning model for detecting medical conditions
    Patent number: 11087883
    Abstract: Systems and methods for transfer-to-transfer training using an imbalanced training dataset include reconfiguring an imbalanced training data corpus to a plurality of distinct class-balanced mini-corpora of training data, wherein the reconfiguring includes: (i) partitioning the imbalanced training data corpus into a plurality of mini-corpora of training data samples in which each distinct mini-corpus of the plurality of mini-corpora includes an entirety of the training data samples within the second subset of training data samples; and (ii) allocating an equal number of the training data samples of the first subset into each of the plurality of mini-corpora of training data samples; and transfer-to-transfer learning-based training a subject machine learning algorithm to a trained machine learning model based on implementing the transfer-to-transfer learning-based training using the plurality of distinct class-balanced mini-corpora, wherein in use, the trained machine learning model predicts a presence or a non
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: August 10, 2021
    Assignee: Blue Eye Soft, Inc.
    Inventors: Barath Narayanan, Russell Hardie, Vignesh Krishnaraja, Srikanth Kodeboyina