Moscow, Russia

Andrey Vladimirovich Gulin

This inventor holds 6 USPTO granted patents and 1 published patent application. Top assignees: Yandex Europe Ag, Direct Cursus Technology L.l.c. Active years: 2019-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrey Vladimirovich Gulin. Retrieved from https://idiyas.com/inventor/andrey-vladimirovich-gulin

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

Calculating rank
USPTO Granted Patents = 6 

% Patents Active = 100.0

Average Co-Inventor Count = 1.8

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Shatura, RU (2020)
  • Shatura district, RU (2022)
  • Moscow region, RU (2019 - 2024)

Company Filing History:


Years Active: 2019-2024

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6 patents (USPTO):Explore Patents

Title: Andrey Vladimirovich Gulin: Innovator in Machine Learning Technologies

Introduction

Andrey Vladimirovich Gulin is a prominent inventor based in Moscow, Russia. He has made significant contributions to the field of machine learning, particularly in the development of methods and systems that enhance the accuracy and efficiency of prediction models. With a total of six patents to his name, Gulin's work is at the forefront of technological innovation.

Latest Patents

Gulin's latest patents include a method and server for converting categorical feature values into numeric representations and generating split values for categorical features. This innovative method involves training a machine learning algorithm using a decision tree model. During the training process, a training object associated with a categorical feature is processed at a node of the decision tree. The method calculates a numeric representation of the categorical feature and the value of the splits for the node in line with generating a given iteration of the decision tree.

Another notable patent is a computer-implemented method for generating a prediction model and determining the accuracy of that model. This system accesses a trained decision tree prediction model generated from a set of training objects. It generates a subset of random parameters of interest, associates them with a given leaf, and determines the accuracy parameter of the trained decision tree prediction model based on the leaf accuracy parameter for each leaf of the decision tree.

Career Highlights

Throughout his career, Gulin has worked with notable companies such as Yandex Europe AG and Direct Cursus Technology LLC. His experience in these organizations has allowed him to refine his skills and contribute to significant advancements in machine learning technologies.

Collaborations

Gulin has collaborated with esteemed colleagues, including Andrey Sergeevich Mishchenko and Konstantin Vyacheslavovich Vorontsov. These partnerships have fostered an environment of innovation and creativity, leading to the development of groundbreaking technologies.

Conclusion

Andrey Vladimirovich Gulin is a distinguished inventor whose work in machine learning continues to shape the future of technology. His patents reflect a deep understanding of complex algorithms and their practical applications. Gulin's contributions are invaluable to the field, and his ongoing innovations promise to drive further advancements in machine learning.

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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