Company Filing History:
Years Active: 2022
Title: The Innovations of Charles Henze
Introduction
Charles Henze is an accomplished inventor based in Pleasanton, CA (US). He has made significant contributions to the field of document classification through his innovative patent. His work focuses on utilizing machine learning techniques to enhance the efficiency of document management systems.
Latest Patents
Henze holds a patent for "Automatic document classification using machine learning." This invention involves receiving inputs that assign documents to classifiers, which define document classification rules for a classification model. The computing device trains the classification model using a machine learning technique that assigns each document of a second set of documents to destinations based on the document classification rules. Additionally, the device receives a template design for each destination that specifies metadata to extract for a document type corresponding to documents assigned to the destination. The classification model subsequently classifies a particular document by assigning it to a given destination based on the document classification rules and exporting metadata from the document using the associated template design.
Career Highlights
Charles Henze is currently employed at Kyocera Document Solutions Inc., where he continues to develop innovative solutions in document management. His expertise in machine learning and document classification has positioned him as a valuable asset in his field.
Collaborations
Henze has collaborated with notable colleagues, including Hooman Majidzadeh Rezvani and Andrii Matiukhov, contributing to advancements in their shared projects.
Conclusion
Charles Henze's work in automatic document classification using machine learning exemplifies the intersection of technology and innovation. His contributions are paving the way for more efficient document management systems in various industries.