Sunnyvale, CA, United States of America

Nikita Zhiltsov


Average Co-Inventor Count = 1.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovator Spotlight: Nikita Zhiltsov

Introduction

Nikita Zhiltsov is a prominent inventor based in Sunnyvale, California. She has made significant contributions to the field of machine learning, particularly in the classification of business summaries. Her innovative approach combines advanced neural network techniques with hierarchical industry classification structures.

Latest Patents

Nikita holds a patent for a system that classifies text-based business summaries against a hierarchical industry classification structure using supervised machine learning. This classification system employs a word-based sub classifier that generates a vector space for each summary in a training set. The system enhances the predictive capabilities of the neural network by adjusting weight values in the hidden layer. Additionally, it addresses underrepresented parent industry classifications and attributes within the hierarchical structure. The completion of training is based on performance metrics that meet specific early stopping criteria.

Career Highlights

Nikita is currently associated with The Dun & Bradstreet Corporation, where she applies her expertise in machine learning to develop innovative solutions. Her work focuses on improving the accuracy and efficiency of business summary classifications, which is crucial for various industries.

Collaborations

Nikita has collaborated with various professionals in the field of machine learning and data analysis to enhance her classification system. These collaborations have allowed her to refine her techniques and expand the applicability of her inventions.

Conclusion

Nikita Zhiltsov is a trailblazer in the realm of machine learning and classification systems. Her patent and contributions to The Dun & Bradstreet Corporation highlight her commitment to innovation and excellence in technology.

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