Patents by Inventor Kyle Kreth

Kyle Kreth 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).

  • Neural network host platform for generating automated suspicious activity reports using machine learning
    Patent number: 11593812
    Abstract: Aspects of the disclosure relate to using machine learning techniques for generating automated suspicious activity reports (SAR). A computing platform may generate a labelled transaction history dataset by combining historical transaction data with historical report information. The computing platform may train a convolutional neural network using the labelled transaction history dataset. The computing platform may receive new transaction data and compress the new transaction data using lossy compression. The computing platform may input the compressed transaction data into the convolutional neural network, which may cause the convolutional neural network to output a suspicious event probability score based on the compressed transaction data.
    Type: Grant
    Filed: October 4, 2021
    Date of Patent: February 28, 2023
    Assignee: Bank of America Corporation
    Inventors: Kyle Kreth, Andrew Vlasic, Selvakumar Albert, Jeremiah Thompson, Nancy T. Carrier
  • Neural Network Host Platform for Generating Automated Suspicious Activity Reports Using Machine Learning
    Publication number: 20220027920
    Abstract: Aspects of the disclosure relate to using machine learning techniques for generating automated suspicious activity reports (SAR). A computing platform may generate a labelled transaction history dataset by combining historical transaction data with historical report information. The computing platform may train a convolutional neural network using the labelled transaction history dataset. The computing platform may receive new transaction data and compress the new transaction data using lossy compression. The computing platform may input the compressed transaction data into the convolutional neural network, which may cause the convolutional neural network to output a suspicious event probability score based on the compressed transaction data.
    Type: Application
    Filed: October 4, 2021
    Publication date: January 27, 2022
    Inventors: Kyle Kreth, Andrew Vlasic, Selvakumar Albert, Jeremiah Thompson, Nancy T. Carrier
  • Neural network host platform for generating automated suspicious activity reports using machine learning
    Patent number: 11176557
    Abstract: Aspects of the disclosure relate to using machine learning techniques for generating automated suspicious activity reports (SAR). A computing platform may generate a labelled transaction history dataset by combining historical transaction data with historical report information. The computing platform may train a convolutional neural network using the labelled transaction history dataset. The computing platform may receive new transaction data and compress the new transaction data using lossy compression. The computing platform may input the compressed transaction data into the convolutional neural network, which may cause the convolutional neural network to output a suspicious event probability score based on the compressed transaction data.
    Type: Grant
    Filed: June 2, 2020
    Date of Patent: November 16, 2021
    Assignee: Bank of America Corporation
    Inventors: Kyle Kreth, Andrew Vlasic, Jeremiah Thompson, Nancy T. Carrier, Selvakumar Albert
  • Neural Network Host Platform for Generating Automated Suspicious Activity Reports Using Machine Learning
    Publication number: 20210295338
    Abstract: Aspects of the disclosure relate to using machine learning techniques for generating automated suspicious activity reports (SAR). A computing platform may generate a labelled transaction history dataset by combining historical transaction data with historical report information. The computing platform may train a convolutional neural network using the labelled transaction history dataset. The computing platform may receive new transaction data and compress the new transaction data using lossy compression. The computing platform may input the compressed transaction data into the convolutional neural network, which may cause the convolutional neural network to output a suspicious event probability score based on the compressed transaction data.
    Type: Application
    Filed: June 2, 2020
    Publication date: September 23, 2021
    Inventors: Kyle Kreth, Andrew Vlasic, Jeremiah Thompson, Nancy T. Carrier, Selvakumar Albert