Patents by Inventor Matthew Paul Ouellette

Matthew Paul Ouellette 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).

  • Publication number: 20190347578
    Abstract: A machine learning (ML)-based technique for user behavior analysis that detects when users deviate from expected behavior. A ML model is trained using training data derived from activity data from a first set of users. The model is refined in a computationally-efficient manner by identifying a second set of users that constitute a “watch list.” At a given time, a differential data ingestion operation is then performed to incorporate data for the second set of users into the training data, while also pruning at least a portion of the data set corresponding to data associated with any user included in the first set but not in the second set. These operations update the training data used for the machine learning. The machine learning model is then refined based on the updated training data that incorporates the activity data ingested from the users identified in the watch list.
    Type: Application
    Filed: May 10, 2018
    Publication date: November 14, 2019
    Applicant: International Business Machines Corporation
    Inventors: Michael Josiah Bolding, Matthew Elsner, Jian Lin, Matthew Paul Ouellette, Yun Pan