Newton, MA, United States of America

Stephen K Pinto

USPTO Granted Patents = 8 

Average Co-Inventor Count = 3.1

ph-index = 8

Forward Citations = 462(Granted Patents)


Company Filing History:


Years Active: 2009-2014

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8 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Stephen K Pinto

Introduction

Stephen K Pinto is an accomplished inventor based in Newton, MA (US), known for his significant contributions to predictive modeling technologies. With a total of 8 patents to his name, Pinto has made strides in the field of data analysis and model generation.

Latest Patents

Among his latest patents, Pinto has developed innovative methods for predictor variable selection and dimensionality reduction for predictive models. These models are generated using a variety of tools and features of a model generation platform. For instance, in projects where users generate predictive models based on historical data, he provides a graphical user interface that guides users through a structured sequence of model generation activities. This sequence includes dimension reduction, model generation, model process validation, and model re-generation. Additionally, his patent on predictive model validation allows users to validate the model development process through cross-validation between at least two subsets of historical data, enabling the validated model development process to be reapplied effectively.

Career Highlights

Pinto has worked with notable companies such as Fortelligent, Inc. and Knowledgebase Marketing, Inc. His experience in these organizations has contributed to his expertise in predictive modeling and data analysis.

Collaborations

Some of his notable coworkers include Richard Mansfield and Donald B Rubin, who have collaborated with him on various projects.

Conclusion

Stephen K Pinto's innovative work in predictive modeling has significantly impacted the field, showcasing his expertise and dedication to advancing technology. His contributions continue to influence the way predictive models are developed and validated.

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