Patents by Inventor David Gorlesky

David Gorlesky 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).

  • Fraud detection in contact centers using deep learning model
    Patent number: 12335440
    Abstract: An example method is described. The method includes receiving, by a computing system, data indicative of a call into an interactive voice response (IVR) system from a user device and determining, by the computing system and based on the data, a set of actions performed by the user device within the IVR system and a corresponding set of results performed by the IVR system during the call. Additionally, the method includes converting, by the computing system, the set of actions and the corresponding set of results into a sequence of code pairs using a dictionary established based on training data, determining, by the computing system, an activity pattern during the call based on the sequence of code pairs; and calculating, by the computing system, a probability that the call is fraudulent based on the activity pattern during the call.
    Type: Grant
    Filed: March 14, 2024
    Date of Patent: June 17, 2025
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Nick A. Maiorana, Judy Cantor, Kevin R. Cieslak, David Gorlesky, Jeremy Ernst
  • FRAUD DETECTION IN CONTACT CENTERS USING DEEP LEARNING MODEL
    Publication number: 20240223699
    Abstract: An example method is described. The method includes receiving, by a computing system, data indicative of a call into an interactive voice response (IVR) system from a user device and determining, by the computing system and based on the data, a set of actions performed by the user device within the IVR system and a corresponding set of results performed by the IVR system during the call. Additionally, the method includes converting, by the computing system, the set of actions and the corresponding set of results into a sequence of code pairs using a dictionary established based on training data, determining, by the computing system, an activity pattern during the call based on the sequence of code pairs; and calculating, by the computing system, a probability that the call is fraudulent based on the activity pattern during the call.
    Type: Application
    Filed: March 14, 2024
    Publication date: July 4, 2024
    Inventors: Nick A. Maiorana, Judy Cantor, Kevin R. Cieslak, David Gorlesky, Jeremy Ernst
  • Fraud detection in contact centers using deep learning model
    Patent number: 11949811
    Abstract: An example method is described. The method includes receiving, by a computing system, data indicative of a call into an interactive voice response (IVR) system from a user device and determining, by the computing system and based on the data, a set of actions performed by the user device within the IVR system and a corresponding set of results performed by the IVR system during the call. Additionally, the method includes converting, by the computing system, the set of actions and the corresponding set of results into a sequence of code pairs using a dictionary established based on training data, determining, by the computing system, an activity pattern during the call based on the sequence of code pairs; and calculating, by the computing system, a probability that the call is fraudulent based on the activity pattern during the call.
    Type: Grant
    Filed: October 17, 2022
    Date of Patent: April 2, 2024
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Nick A. Maiorana, Judy Cantor, Kevin R. Cieslak, David Gorlesky, Jeremy Ernst
  • Fraud detection in contact centers using deep learning model
    Patent number: 11477320
    Abstract: An example method is described. The method includes receiving, by a computing system, data indicative of a call into an interactive voice response (IVR) system from a user device and determining, by the computing system and based on the data, a set of actions performed by the user device within the IVR system and a corresponding set of results performed by the IVR system during the call. Additionally, the method includes converting, by the computing system, the set of actions and the corresponding set of results into a sequence of code pairs using a dictionary established based on training data, determining, by the computing system, an activity pattern during the call based on the sequence of code pairs; and calculating, by the computing system, a probability that the call is fraudulent based on the activity pattern during the call.
    Type: Grant
    Filed: December 11, 2020
    Date of Patent: October 18, 2022
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Nick A. Maiorana, Judy Cantor, Kevin R. Cieslak, David Gorlesky, Jeremy Ernst
  • Fraud detection in contact centers using deep learning model
    Patent number: 10904381
    Abstract: An example method is described. The method includes receiving, by a computing system, data indicative of a call into an interactive voice response (IVR) system from a user device and determining, by the computing system and based on the data, a set of actions performed by the user device within the IVR system and a corresponding set of results performed by the IVR system during the call. Additionally, the method includes converting, by the computing system, the set of actions and the corresponding set of results into a sequence of code pairs using a dictionary established based on training data, determining, by the computing system, an activity pattern during the call based on the sequence of code pairs; and calculating, by the computing system, a probability that the call is fraudulent based on the activity pattern during the call.
    Type: Grant
    Filed: June 15, 2020
    Date of Patent: January 26, 2021
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Nick A. Maiorana, Judy Cantor, Kevin R. Cieslak, David Gorlesky, Jeremy Ernst
  • Fraud detection in contact centers using deep learning model
    Patent number: 10721350
    Abstract: An example method is described. The method includes receiving, by a computing system, data indicative of a call into an interactive voice response (IVR) system from a user device and determining, by the computing system and based on the data, a set of actions performed by the user device within the IVR system and a corresponding set of results performed by the IVR system during the call. Additionally, the method includes converting, by the computing system, the set of actions and the corresponding set of results into a sequence of code pairs using a dictionary established based on training data, determining, by the computing system, an activity pattern during the call based on the sequence of code pairs; and calculating, by the computing system, a probability that the call is fraudulent based on the activity pattern during the call.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: July 21, 2020
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Nick A. Maiorana, Judy Cantor, Kevin R. Cieslak, David Gorlesky, Jeremy Ernst