US

Claiborne R Rankin

This inventor holds 0 USPTO granted patents, plus 1 CIPO patent.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Claiborne R Rankin. Retrieved from https://idiyas.com/inventor/claiborne-r-rankin

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

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Title: Claiborne R. Rankin: Innovator in Machine Learning Data Annotation

Introduction

Claiborne R. Rankin is an innovative inventor based in the United States. He has made significant contributions to the field of machine learning, particularly in data annotation technologies. His work focuses on enhancing the efficiency and accuracy of data processing through advanced methodologies.

Latest Patents

Claiborne R. Rankin holds a patent for a groundbreaking invention titled "Machine Learning Data Annotation Apparatuses, Methods And Systems." This patent discloses a processor-implemented confidence structured output document creation method. In one embodiment, the method involves receiving an unknown inconsistent structured document along with a confidence information extraction feature. The system is designed to parse the document to retrieve data field tags and values, process them, and generate a confidence structured output document.

Career Highlights

Claiborne R. Rankin is associated with Mg Technologies LLC, where he applies his expertise in machine learning and data annotation. His innovative approach has positioned him as a key player in the development of advanced data processing systems. Despite having no patents listed under his name, his contributions to the field are noteworthy.

Collaborations

Claiborne has worked alongside Emilia Antonova Apostolova, contributing to the advancement of machine learning technologies. Their collaboration has focused on enhancing the capabilities of data annotation systems.

Conclusion

Claiborne R. Rankin is a notable inventor whose work in machine learning data annotation is paving the way for future innovations in the field. His dedication to improving data processing methodologies highlights the importance of innovation in technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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