Sergiev Posad, Russia

Valentina Pavlovna Fedorova

This inventor holds 6 USPTO granted patents and 3 published patent applications. Top assignees: Yandex Europe Ag, Y.e. Hub Armenia LLC. Active years: 2019-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Valentina Pavlovna Fedorova. Retrieved from https://idiyas.com/inventor/valentina-pavlovna-fedorova

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 = 3.1

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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6 patents (USPTO):Explore Patents

Title: Valentina Pavlovna Fedorova: Innovator in Machine Learning and Crowdsourcing

Introduction

Valentina Pavlovna Fedorova, based in Sergiev Posad, Russia, is a prominent inventor with a remarkable portfolio of six patents. Her innovative contributions have significantly advanced the fields of machine learning and crowdsourcing, showcasing her expertise in developing methods that enhance data generation and task evaluation.

Latest Patents

Fedorova's latest patents include cutting-edge technologies aimed at optimizing machine learning algorithms within crowdsourced environments. One such patent, titled "Methods and systems for generating training data for computer-executable machine learning algorithm within a computer-implemented crowdsource environment," describes a comprehensive methodology for generating training datasets. This method involves assessing data from various assessors engaged in digital tasks, ranking them based on past performance, and subsequently utilizing top-ranked assessors to generate valuable training data for machine learning applications.

Another notable patent, "Method and system for determining result for task executed in crowd-sourced environment," outlines a systematic approach for determining task results. By collecting results from multiple human assessors and employing machine learning algorithms, this method effectively generates aggregated vector representations to ensure accurate and reliable task outcomes.

Career Highlights

Throughout her career, Valentina Fedorova has worked with several influential companies, including Yandex Europe AG and Y.e. Hub Armenia LLC. Her experiences in these organizations have greatly contributed to her skills and understanding of machine learning and data analytics, allowing her to refine her innovative approaches to problem-solving in crowdsourced settings.

Collaborations

Fedorova has collaborated with a range of talented individuals in her field, including Gleb Gennadievich Gusev. These partnerships have facilitated the exchange of ideas and fostered an environment of creativity and innovation, further propelling Fedorova's contributions to her area of expertise.

Conclusion

Valentina Pavlovna Fedorova exemplifies the impact of innovation in technology through her groundbreaking patents and collaborative efforts. Her work continues to shape the landscape of machine learning and crowdsourcing, proving the vital role of inventors in driving advancements that benefit various industries.

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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