Patents by Inventor Kristen Dardia

Kristen Dardia 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 Computer Modeling Using Incomplete Data
    Publication number: 20220414125
    Abstract: Systems and methods for dynamic computer modeling using incomplete data are provided. The system can yield a total score indicative of an accuracy and reliability of a model for a given application based on incomplete data. The system can receive one or more sets of datasets, classify each dataset among the set of datasets based on a classification component, and determine a normalized score for each dataset based on a value or values of each dataset. If a classification component does not comprise more than one dataset, then the system determines a classification component score for each dataset as the normalized score. If a classification component comprises more than one dataset, the system assigns a weighted data value to each dataset of the classification component. A classification component score is determined for each weighed dataset by applying the weighted data value to the normalized score for each weighed dataset.
    Type: Application
    Filed: August 30, 2022
    Publication date: December 29, 2022
    Applicant: Insurance Services Office, Inc.
    Inventors: Kristen Dardia, Tracey Waller, Ekampreet Singh, Irina Matijosaitiene, Frederick Stoll
  • Systems and methods for computer modeling using incomplete data
    Patent number: 11429644
    Abstract: Systems and methods for dynamic computer modeling using incomplete data are provided. The system can yield a total score indicative of an accuracy and reliability of a model for a given application based on incomplete data. The system can receive one or more sets of datasets, classify each dataset among the set of datasets based on a classification component, and determine a normalized score for each dataset based on a value or values of each dataset. If a classification component does not comprise more than one dataset, then the system determines a classification component score for each dataset as the normalized score. If a classification component comprises more than one dataset, the system assigns a weighted data value to each dataset of the classification component. A classification component score is determined for each weighed dataset by applying the weighted data value to the normalized score for each weighed dataset.
    Type: Grant
    Filed: April 5, 2021
    Date of Patent: August 30, 2022
    Assignee: Insurance Services Office, Inc.
    Inventors: Kristen Dardia, Tracey Waller, Ekampreet Singh, Irina Matijosaitiene, Frederick Stoll
  • Systems and Methods for Computer Modeling Using Incomplete Data
    Publication number: 20210311967
    Abstract: Systems and methods for dynamic computer modeling using incomplete data are provided. The system can yield a total score indicative of an accuracy and reliability of a model for a given application based on incomplete data. The system can receive one or more sets of datasets, classify each dataset among the set of datasets based on a classification component, and determine a normalized score for each dataset based on a value or values of each dataset. If a classification component does not comprise more than one dataset, then the system determines a classification component score for each dataset as the normalized score. If a classification component comprises more than one dataset, the system assigns a weighted data value to each dataset of the classification component. A classification component score is determined for each weighed dataset by applying the weighted data value to the normalized score for each weighed dataset.
    Type: Application
    Filed: April 5, 2021
    Publication date: October 7, 2021
    Applicant: Insurance Services Office, Inc.
    Inventors: Kristen Dardia, Tracey Waller, Ekampreet Singh, Irina Matijosaitiene, Frederick Stoll