Patents by Inventor Eric Presely

Eric Presely 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: 20200210957
    Abstract: Method and apparatus are disclosed for classification of job titles via machine learning. An example system includes memory configured to store a convolutional neural network (CNN). The CNN includes a character-title partial-CNN, a word-title partial-CNN, a description CNN, and at least one fully-connected layer. The example system also includes one or more processors configured to apply the character-title partial-CNN to a title to generate a character-level feature, apply the word-title partial-CNN to the title to generate a first word-level feature, and apply the description partial-CNN to a description to generate a second word-level feature. The one or more processors are configured to generate a posting feature by concatenating the character-level feature, the first word-level feature, and the second word-level feature.
    Type: Application
    Filed: April 12, 2019
    Publication date: July 2, 2020
    Inventors: Brian Gaspar, Mohammed Korayem, Jingya Wang, Kareem Abdelfatah, Janani Balaji, Robert Malony, Eric Presely, Humair Ghauri