Hod-Hasharon, Israel

Elina Maliarsky

This inventor holds 1 USPTO granted patent. Top assignee: Actimize Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Elina Maliarsky. Retrieved from https://idiyas.com/inventor/elina-maliarsky

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Elina Maliarsky: Innovator in Machine Learning

Introduction

Elina Maliarsky is a prominent inventor based in Hod Ha Sharon, Israel. She has made significant contributions to the field of machine learning, particularly in the area of automated concept drift detection. Her innovative work is paving the way for advancements in machine learning systems.

Latest Patents

Elina holds a patent for "Automated concept drift detection in live machine learning systems for machine learning model updating." This patent describes a machine learning system and methods designed to detect concept drift in ML models. The system includes a processor and a computer-readable medium that contains instructions for performing drift detection operations. These operations involve receiving a data set for online training, determining changes to uncertainty bounds, identifying concept drift, and generating an ML update paradigm based on the drift.

Career Highlights

Elina is currently employed at Actimize Ltd., where she applies her expertise in machine learning to develop innovative solutions. Her work focuses on enhancing the reliability and accuracy of machine learning models in dynamic environments.

Collaborations

Elina collaborates with talented professionals in her field, including Danny Butvinik and Yoav Avneon. These partnerships contribute to the advancement of her projects and the overall success of her initiatives.

Conclusion

Elina Maliarsky is a trailblazer in the realm of machine learning, with her patent and work at Actimize Ltd. showcasing her dedication to innovation. Her contributions are instrumental in shaping the future of machine learning technologies.

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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