Patents by Inventor Fabrizio Jose Pisciotta Sanabria

Fabrizio Jose Pisciotta Sanabria 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).

  • Patent number: 11501654
    Abstract: At least one hardware processor implementing a conversational intelligent tutor system obtains, from a student, a partially correct natural language answer to a question posed by the conversational intelligent tutor system. The at least one hardware processor implementing the conversational intelligent tutor system accesses contextual knowledge related to the student. Based on the partially correct answer and the contextual knowledge, the at least one hardware processor applies at least one of a rule set and a predictive model to select at least one scaffolding option for the student. the at least one scaffolding option is caused to be displayed to the student.
    Type: Grant
    Filed: June 23, 2019
    Date of Patent: November 15, 2022
    Assignee: International Business Machines Corporation
    Inventors: Cassius D'Helon, Vinay Kumar Reddy Kasireddy, Fabrizio Jose Pisciotta Sanabria, Srijith Prabhu
  • Patent number: 10997231
    Abstract: Aspects of the present disclosure relate to ontology refinement using image processing. A scene and a set of objects within the scene of an image are identified by performing image processing on the image. The set of objects is stored in a cluster labeled by the scene. A knowledge graph is then refined using the cluster.
    Type: Grant
    Filed: January 17, 2019
    Date of Patent: May 4, 2021
    Assignee: International Business Machines Corporation
    Inventors: Darren McAuliffe, Tamer E. Abuelsaad, Fabrizio Jose Pisciotta Sanabria
  • Publication number: 20200402414
    Abstract: At least one hardware processor implementing a conversational intelligent tutor system obtains, from a student, a partially correct natural language answer to a question posed by the conversational intelligent tutor system. The at least one hardware processor implementing the conversational intelligent tutor system accesses contextual knowledge related to the student. Based on the partially correct answer and the contextual knowledge, the at least one hardware processor applies at least one of a rule set and a predictive model to select at least one scaffolding option for the student. the at least one scaffolding option is caused to be displayed to the student.
    Type: Application
    Filed: June 23, 2019
    Publication date: December 24, 2020
    Inventors: Cassius D'Helon, Vinay Kumar Reddy Kasireddy, Fabrizio Jose Pisciotta Sanabria, Srijith Prabhu
  • Publication number: 20200233899
    Abstract: Aspects of the present disclosure relate to ontology refinement using image processing. A scene and a set of objects within the scene of an image are identified by performing image processing on the image. The set of objects is stored in a cluster labeled by the scene. A knowledge graph is then refined using the cluster.
    Type: Application
    Filed: January 17, 2019
    Publication date: July 23, 2020
    Inventors: Darren McAuliffe, Tamer E. Abuelsaad, Fabrizio Jose Pisciotta Sanabria