Patents by Inventor Tapati Bandop Adhyay

Tapati Bandop Adhyay 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).

  • Method and system for providing explanation of prediction generated by an artificial neural network model
    Patent number: 11315008
    Abstract: This disclosure relates to method and system for providing an explanation for a prediction generated by an artificial neural network (ANN) model for a given input data. The method may include receiving the given input data and the prediction generated by the ANN model. The ANN model may be built and trained for a target application. The method may further include determining a plurality of relevant portions of the given input data. For each of the plurality of relevant portions, the method may further include fetching a portional prediction and a portional prediction score generated by the ANN model, and determining a degree of influence score based on the portional prediction score and a comparison between the portional prediction and the prediction. The method may further include providing the explanation for the prediction based on the degree of influence score of each of the plurality of relevant portions.
    Type: Grant
    Filed: February 21, 2019
    Date of Patent: April 26, 2022
    Assignee: Wipro Limited
    Inventors: Arindam Chatterjee, Tapati Bandop Adhyay
  • METHOD AND SYSTEM FOR PROVIDING EXPLANATION OF PREDICTION GENERATED BY AN ARTIFICIAL NEURAL NETWORK MODEL
    Publication number: 20200210817
    Abstract: This disclosure relates to method and system for providing an explanation for a prediction generated by an artificial neural network (ANN) model for a given input data. The method may include receiving the given input data and the prediction generated by the ANN model. The ANN model may be built and trained for a target application. The method may further include determining a plurality of relevant portions of the given input data. For each of the plurality of relevant portions, the method may further include fetching a portional prediction and a portional prediction score generated by the ANN model, and determining a degree of influence score based on the portional prediction score and a comparison between the portional prediction and the prediction. The method may further include providing the explanation for the prediction based on the degree of influence score of each of the plurality of relevant portions.
    Type: Application
    Filed: February 21, 2019
    Publication date: July 2, 2020
    Inventors: Arindam Chatterjee, Tapati Bandop Adhyay