Patents by Inventor Raphaël Wouters

Raphaël Wouters 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).

  • Deep fusion reasoning engine (DFRE) for prioritizing network monitoring alerts
    Patent number: 11595268
    Abstract: In one embodiment, a service that monitors a network detects a plurality of anomalies in the network. The service uses data regarding the detected anomalies as input to one or more machine learning models. The service maps, using a conceptual space, outputs of the one or more machine learning models to symbols. The service applies a symbolic reasoning engine to the symbols, to rank the anomalies. The service sends an alert for a particular one of the detected anomalies to a user interface, based on its corresponding rank.
    Type: Grant
    Filed: February 26, 2021
    Date of Patent: February 28, 2023
    Assignee: Cisco Technology, Inc.
    Inventors: Enzo Fenoglio, Hugo Latapie, David Delano Ward, Sawsen Rezig, Raphaël Wouters, Didier Colens, Donald Mark Allen, Dmitri Goloubev
  • Device health assessment data summarization using machine learning
    Patent number: 11121952
    Abstract: In one embodiment, a device health assessment service extracts device health status indicators from health assessment data that the service uses to determine a device health status of a networking device. The service forms, using the extracted set of device health status indicators, a health status signature for a particular device health status. The service trains a machine learning-based model to classify whether a networking device has the particular device health status, based in part on the health status signature. The service deploys the machine learning-based model to a target network for local device health assessment of one or more networking devices in the target network.
    Type: Grant
    Filed: October 17, 2018
    Date of Patent: September 14, 2021
    Assignee: Cisco Technology, Inc.
    Inventors: Mohammed Hamzeh, Sam Grimee, Cedric Van Labeke, Peter Van Eynde, Raphaël Wouters
  • DEEP FUSION REASONING ENGINE (DFRE) FOR PRIORITIZING NETWORK MONITORING ALERTS
    Publication number: 20210184915
    Abstract: In one embodiment, a service that monitors a network detects a plurality of anomalies in the network. The service uses data regarding the detected anomalies as input to one or more machine learning models. The service maps, using a conceptual space, outputs of the one or more machine learning models to symbols. The service applies a symbolic reasoning engine to the symbols, to rank the anomalies. The service sends an alert for a particular one of the detected anomalies to a user interface, based on its corresponding rank.
    Type: Application
    Filed: February 26, 2021
    Publication date: June 17, 2021
    Inventors: Enzo Fenoglio, Hugo Latapie, David Delano Ward, Sawsen Rezig, Raphaël Wouters, Didier Colens, Donald Mark Allen, Dmitri Goloubev
  • Deep fusion reasoning engine (DFRE) for prioritizing network monitoring alerts
    Patent number: 10965516
    Abstract: In one embodiment, a service that monitors a network detects a plurality of anomalies in the network. The service uses data regarding the detected anomalies as input to one or more machine learning models. The service maps, using a conceptual space, outputs of the one or more machine learning models to symbols. The service applies a symbolic reasoning engine to the symbols, to rank the anomalies. The service sends an alert for a particular one of the detected anomalies to a user interface, based on its corresponding rank.
    Type: Grant
    Filed: June 3, 2019
    Date of Patent: March 30, 2021
    Assignee: Cisco Technology, Inc.
    Inventors: Enzo Fenoglio, Hugo Latapie, David Delano Ward, Sawsen Rezig, Raphaël Wouters, Didier Colens, Donald Mark Allen, Dmitri Goloubev
  • DEVICE HEALTH ASSESSMENT DATA SUMMARIZATION USING MACHINE LEARNING
    Publication number: 20200127910
    Abstract: In one embodiment, a device health assessment service extracts device health status indicators from health assessment data that the service uses to determine a device health status of a networking device. The service forms, using the extracted set of device health status indicators, a health status signature for a particular device health status. The service trains a machine learning-based model to classify whether a networking device has the particular device health status, based in part on the health status signature. The service deploys the machine learning-based model to a target network for local device health assessment of one or more networking devices in the target network.
    Type: Application
    Filed: October 17, 2018
    Publication date: April 23, 2020
    Inventors: Mohammed Hamzeh, Sam Grimee, Cedric Van Labeke, Peter Van Eynde, Raphaël Wouters
  • DEEP FUSION REASONING ENGINE (DFRE) FOR PRIORITIZING NETWORK MONITORING ALERTS
    Publication number: 20190306011
    Abstract: In one embodiment, a service that monitors a network detects a plurality of anomalies in the network. The service uses data regarding the detected anomalies as input to one or more machine learning models. The service maps, using a conceptual space, outputs of the one or more machine learning models to symbols. The service applies a symbolic reasoning engine to the symbols, to rank the anomalies. The service sends an alert for a particular one of the detected anomalies to a user interface, based on its corresponding rank.
    Type: Application
    Filed: June 3, 2019
    Publication date: October 3, 2019
    Inventors: Enzo Fenoglio, Hugo Latapie, David Delano Ward, Sawsen Rezig, Raphaël Wouters, Didier Colens, Donald Mark Allen, Dmitri Goloubev