Cary, NC, United States of America

James Allen Cox

This inventor holds 22 USPTO granted patents and 6 published patent applications, primarily in Machine Learning Visualization. Top assignees: Sas Institute Inc., North Carolina State University. Active years: 2006-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: James Allen Cox. Retrieved from https://idiyas.com/inventor/james-allen-cox-soqfo81q

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

Calculating rank
USPTO Granted Patents = 22 

% Patents Active = 100.0

Average Co-Inventor Count = 3.4

ph-index = 8

Forward Citations = 459(Granted Patents)


Location History:

  • Raleigh, NC (US) (2006)
  • Cary, NC (US) (2014 - 2021)
  • Corpus Christi, TX (US) (2022)

Company Filing History:


Years Active: 2006-2022

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Areas of Expertise:
Graphical User Interface
Machine Learning
Data Structures
Interactive Visualizations
Convolutional Neural Networks
Sparse Matrix Storage
Sentiment Analysis
Feature Selection
Text Processing
Rule Extraction
Data Normalization
Neural Networks
22 patents (USPTO):Explore Patents

Title: Innovations by Inventor James Allen Cox

Introduction

James Allen Cox is a distinguished inventor based in Cary, NC, who has made significant contributions to technology with a portfolio of 22 patents. His work primarily focuses on advancements in machine learning models and data processing technologies, influencing various industries that rely on cutting-edge data analysis and visualization.

Latest Patents

Among James Allen Cox's most recent innovations are two notable patents. The first, titled "Graphical User Interface for Visualizing Contributing Factors to a Machine-Learning Model's Output," introduces a system that executes a machine-learning model to classify textual datasets. This invention emphasizes the importance of understanding how different tokens in the dataset influence overall classifications, offering first and second subsets of tokens. The system generates visualizations that color-code these subsets based on their classification and category scores, enhancing interpretability in machine learning models.

The second patent, "Computerized Pipelines for Transforming Input Data into Data Structures Compatible with Models," outlines a method wherein systems can process input data into compatible data structures through a specific sequence of operations. This patent highlights the derivation of features from input data and emphasizes a predictive model's ability to generate accurate predictions based on modified analysis tables.

Career Highlights

James Allen Cox has built an impressive career in the field of data science and machine learning. He has held pivotal positions in notable companies, including SAS Institute Inc., a leader in analytics and data management solutions, and North Carolina State University, where he has contributed to research and innovation in technology.

Collaborations

Throughout his career, Cox has collaborated with esteemed colleagues, including Samuel Paul Leeman-Munk and Zheng Zhao. These partnerships have fostered a rich environment for innovation, allowing for the exchange of ideas and collaborative development of groundbreaking technologies.

Conclusion

James Allen Cox's contributions to the fields of machine learning and data processing underscore his status as a leading inventor. With a robust portfolio of patents and collaborative efforts with industry experts, he continues to influence the landscape of technology, paving the way for future innovations that enhance how we understand and interact with data. His dedication to advancing technology serves as an inspiration for aspiring inventors and innovators.

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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