Patents by Inventor Fernando SUAREZ SAIZ

Fernando SUAREZ SAIZ 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).

  • Negative inferences in machine learning treatment selection
    Patent number: 11562827
    Abstract: Method and apparatus for performing feature engineering using negative inferences are provided. One example method generally includes identifying a plurality of concepts and analyzing a corpus of documents to determine a first co-occurrence rate for a first concept and a second concept in the plurality of concepts. The method further includes analyzing the corpus of documents to determine a second co-occurrence rate for the second concept and at least a third concept of a set of concepts related to the first concept and determining an inverse relationship between the second concept and the third concept. The method further includes generating test data for training a machine learning model including a negative inference between the second concept and the third concept and training the machine learning model using the test data.
    Type: Grant
    Filed: February 20, 2019
    Date of Patent: January 24, 2023
    Assignee: International Business Machines Corporation
    Inventors: Adam Clark, Richard J. Stevens, Fernando Suarez Saiz, Eric W. Will, Mark Gregory Megerian, Thomas J. Eggebraaten
  • NEGATIVE INFERENCES IN MACHINE LEARNING TREATMENT SELECTION
    Publication number: 20200265954
    Abstract: Method and apparatus for performing feature engineering using negative inferences are provided. One example method generally includes identifying a plurality of concepts and analyzing a corpus of documents to determine a first co-occurrence rate for a first concept and a second concept in the plurality of concepts. The method further includes analyzing the corpus of documents to determine a second co-occurrence rate for the second concept and at least a third concept of a set of concepts related to the first concept and determining an inverse relationship between the second concept and the third concept. The method further includes generating test data for training a machine learning model including a negative inference between the second concept and the third concept and training the machine learning model using the test data.
    Type: Application
    Filed: February 20, 2019
    Publication date: August 20, 2020
    Inventors: Adam CLARK, Richard J. STEVENS, Fernando SUAREZ SAIZ, Eric W. WILL, Mark Gregory MEGERIAN, Thomas J. EGGEBRAATEN