Patents Examined by Leonard A Sieger
  • Visual analysis framework for understanding missing links in bipartite networks
    Patent number: 11176460
    Abstract: Example implementations described herein involve an interface for calculating and displaying missing links for data represented as a bipartite network, along with novel methods for improving link prediction algorithms in the related art. Through example implementations described herein, the accuracy of link prediction algorithms can be improved upon, thereby providing the user with a more accurate understanding of the data in the bipartite network.
    Type: Grant
    Filed: November 19, 2018
    Date of Patent: November 16, 2021
    Assignee: FUJIFILM Business Innovation Corp.
    Inventors: Jian Zhao, Francine Chen, Patrick Chiu
  • Adaptation of a trained neural network
    Patent number: 11151449
    Abstract: A method, computer program product, and apparatus for adapting a trained neural network having one or more batch normalization layers are provided. The method includes adapting only the one or more batch normalization layers using adaptation data. The method also includes adapting the whole of the neural network having the one or more adapted batch normalization layers, using the adaptation data.
    Type: Grant
    Filed: January 24, 2018
    Date of Patent: October 19, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Masayuki Suzuki, Toru Nagano