Beer Sheva, Israel

Andrey Finkelshtein

USPTO Granted Patents = 10 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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10 patents (USPTO):

Title: Andrey Finkelshtein: Innovator in Machine Learning and Classification Systems

Introduction

Andrey Finkelshtein is a prominent inventor based in Beer Sheva, Israel. He has made significant contributions to the field of machine learning and classification systems, holding a total of 10 patents. His work focuses on optimizing classification schemas and enhancing the efficiency of machine learning models.

Latest Patents

One of Finkelshtein's latest patents is titled "Optimizing cascade of classifiers schema using genetic search." This invention discloses a system and method for training and classification using an optimized classification schema that employs an ensemble of cascaded classifiers. Each classifier in the cascade is characterized by a set of parameters, and those not positioned first in the cascade are associated with thresholds that determine their execution based on confidence measures from preceding classifiers. The optimization process utilizes a genetic algorithm applied to ensembles of classification and parameters, creating a pool of ensembles and associated scores based on classification quality and cost.

Another notable patent involves a "Machine learning model trained using features extracted from n-grams of mouse event data." This system includes a processor that receives mouse event data from a session, splits it into mouse event n-grams, and extracts features from these n-grams. The processor then sends the extracted features to a trained machine learning model and receives an output decision from it.

Career Highlights

Andrey Finkelshtein is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop advanced technologies in machine learning and classification systems. His work has had a significant impact on the efficiency and effectiveness of data processing and analysis.

Collaborations

Finkelshtein has collaborated with notable colleagues, including Eitan Menahem and Noga Agmon, contributing to various projects and advancements in their field.

Conclusion

Andrey Finkelshtein's contributions to machine learning and classification systems demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex algorithms and their practical applications in real-world scenarios.

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