Patents by Inventor Luis Gerardo Mojica de la Vega

Luis Gerardo Mojica de la Vega 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).

  • Supervised machine-learning training platform with isolated update testing and bi-directional update propogation
    Patent number: 10943185
    Abstract: Aspects of the disclosure relate to supervised machine-learning (“ML”) training platforms for artificial intelligence (“AI”) computer systems. The ML training platform may include isolated update testing. The isolated update testing may feature a plurality of environments with various levels of isolation. The ML training platform may also include bi-directional channels for controlled update propagation.
    Type: Grant
    Filed: October 23, 2018
    Date of Patent: March 9, 2021
    Assignee: Bank of America Corporation
    Inventors: David H. Witting, Maruthi Z Shanmugam, Jamaal C. Long, Matthew Hsieh, Luis Gerardo Mojica de la Vega, Viju Kothuvatiparambil, Mahalakshmi Chandra Sekaran, Donatus Asumu, Karen Trevino
  • Identification of candidate training utterances from human conversations with an intelligent interactive assistant
    Patent number: 10685645
    Abstract: A method for creating binary classification models and using the binary classification models to select candidate training utterances from a plurality of live utterances is provided. The method may include receiving a plurality of intents and associated training utterances. The method may include creating, from the training utterances, a binary classification model for each intent. The binary classification model may include a vector representation of a line of demarcation between utterances associated with the intent and utterances disassociated from the intent. The method may also include receiving live utterances. An intent may be determined for each live utterance. The method may include creating a vector representation of the live utterance. The method may include selecting candidate training utterances based on a comparison between the vector representation of the live utterance and the vector representation included in the binary classification model of the intent determined for the live utterance.
    Type: Grant
    Filed: August 9, 2018
    Date of Patent: June 16, 2020
    Assignee: Bank of America Corporation
    Inventors: Maruthi Z. Shanmugam, Luis Gerardo Mojica de la Vega, Donatus Asumu
  • IDENTIFICATION OF CANDIDATE TRAINING UTTERANCES FROM HUMAN CONVERSATIONS WITH AN INTELLIGENT INTERACTIVE ASSISTANT
    Publication number: 20200051547
    Abstract: A method for creating binary classification models and using the binary classification models to select candidate training utterances from a plurality of live utterances is provided. The method may include receiving a plurality of intents and associated training utterances. The method may include creating, from the training utterances, a binary classification model for each intent. The binary classification model may include a vector representation of a line of demarcation between utterances associated with the intent and utterances disassociated from the intent. The method may also include receiving live utterances. An intent may be determined for each live utterance. The method may include creating a vector representation of the live utterance. The method may include selecting candidate training utterances based on a comparison between the vector representation of the live utterance and the vector representation included in the binary classification model of the intent determined for the live utterance.
    Type: Application
    Filed: August 9, 2018
    Publication date: February 13, 2020
    Inventors: Maruthi Z. Shanmugam, Luis Gerardo Mojica de la Vega, Donatus Asumu