Patents by Inventor Lisa Teofilo

Lisa Teofilo 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).

  • Systems and methods for XBRL tag outlier detection
    Patent number: 12361064
    Abstract: Disclosed are systems and methods for XBRL tag outlier detection. In some embodiments, the method includes the steps of: receiving a first set of XBRL data records; generating a second set of XBRL data records based upon a subset of the first set of XBRL data records; training a machine learning model using the first set of XBRL data records and the second set of XBRL data records; receiving an XBRL document associated with one or more assigned XBRL tags; and analyzing the XBRL document using the trained machine learning model to identify a set of outlier XBRL tags in the one or more assigned XBRL tags.
    Type: Grant
    Filed: November 29, 2023
    Date of Patent: July 15, 2025
    Assignee: WORKIVA INC.
    Inventors: David Palazzo, Vasily Korf, Lisa Teofilo, Tristan Vellinga, Dorette Vermeulen
  • SYSTEMS AND METHODS FOR XBRL TAG OUTLIER DETECTION
    Publication number: 20240211513
    Abstract: Disclosed are systems and methods for XBRL tag outlier detection. In some embodiments, the method includes the steps of: receiving a first set of XBRL data records; generating a second set of XBRL data records based upon a subset of the first set of XBRL data records; training a machine learning model using the first set of XBRL data records and the second set of XBRL data records; receiving an XBRL document associated with one or more assigned XBRL tags; and analyzing the XBRL document using the trained machine learning model to identify a set of outlier XBRL tags in the one or more assigned XBRL tags.
    Type: Application
    Filed: November 29, 2023
    Publication date: June 27, 2024
    Inventors: David Palazzo, Vasily Korf, Lisa Teofilo, Tristan Vellinga, Dorette Vermeulen
  • Systems and methods for XBRL tag outlier detection
    Patent number: 11868400
    Abstract: Disclosed are systems and methods for XBRL tag outlier detection. In some embodiments, the method includes the steps of: receiving a first set of XBRL data records; generating a second set of XBRL data records based upon a subset of the first set of XBRL data records; training a machine learning model using the first set of XBRL data records and the second set of XBRL data records; receiving an XBRL document associated with one or more assigned XBRL tags; and analyzing the XBRL document using the trained machine learning model to identify a set of outlier XBRL tags in the one or more assigned XBRL tags.
    Type: Grant
    Filed: December 27, 2022
    Date of Patent: January 9, 2024
    Assignee: WORKIVA INC.
    Inventors: David Palazzo, Vasily Korf, Lisa Teofilo, Tristan Vellinga, Dorette Vermeulen