Patents by Inventor Chirag Yadav

Chirag Yadav 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).

  • Publication number: 20220398266
    Abstract: Methods, systems and computer program products implementing hierarchical classification techniques are disclosed. A hierarchical classification system receives training data including labeled transaction records. The system determines tag sequences from the training data. The system clusters the tag sequences into clusters. The system determines a cluster-level classifier that is trained to predict a cluster for an input transaction record. The system determines a respective cluster-specific classifier for each cluster. The system trains the cluster-specific classifier to predict a label of entity of interest for an input transaction record, given a particular cluster. Upon receiving a test transaction record, the system first applies the cluster-level classifier to determine a particular cluster for the test transaction record, and then determines a label of entity of interest of the test transaction record by applying a cluster-specific classifier of that particular cluster.
    Type: Application
    Filed: June 29, 2022
    Publication date: December 15, 2022
    Inventors: Chirag Yadav, Divya James Athoopallil, Ganesh Patil, Rakesh Kumar Ranjan, Aparajita Choudhury Karimpana, Om Dadaji Deshmukh
  • Patent number: 11379501
    Abstract: Methods, systems and computer program products implementing hierarchical classification techniques are disclosed. A hierarchical classification system receives training data including labeled transaction records. The system determines tag sequences from the training data. The system clusters the tag sequences into clusters. The system determines a cluster-level classifier that is trained to predict a cluster for an input transaction record. The system determines a respective cluster-specific classifier for each cluster. The system trains the cluster-specific classifier to predict a label of entity of interest for an input transaction record, given a particular cluster. Upon receiving a test transaction record, the system first applies the cluster-level classifier to determine a particular cluster for the test transaction record, and then determines a label of entity of interest of the test transaction record by applying a cluster-specific classifier of that particular cluster.
    Type: Grant
    Filed: October 9, 2017
    Date of Patent: July 5, 2022
    Assignee: Yodlee, Inc.
    Inventors: Chirag Yadav, Divya James Athoopallil, Ganesh Patil, Rakesh Kumar Ranjan, Aparajita Choudhury Karimpana, Om Dadaji Deshmukh
  • Publication number: 20190108593
    Abstract: Methods, systems and computer program products implementing hierarchical classification techniques are disclosed. A hierarchical classification system receives training data including labeled transaction records. The system determines tag sequences from the training data. The system clusters the tag sequences into clusters. The system determines a cluster-level classifier that is trained to predict a cluster for an input transaction record. The system determines a respective cluster-specific classifier for each cluster. The system trains the cluster-specific classifier to predict a label of entity of interest for an input transaction record, given a particular cluster. Upon receiving a test transaction record, the system first applies the cluster-level classifier to determine a particular cluster for the test transaction record, and then determines a label of entity of interest of the test transaction record by applying a cluster-specific classifier of that particular cluster.
    Type: Application
    Filed: October 9, 2017
    Publication date: April 11, 2019
    Inventors: Chirag Yadav, Divya James Athoopallil, Ganesh Patil, Rakesh Kumar Ranjan, Aparajita Choudhury Karimpana, Om Dadaji Deshmukh