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For the Inventor, By the Inventor

Haifa, Israel

Danny Butvinik

USPTO Granted Patents = 11 

Average Co-Inventor Count = 1.9

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:

goldMedal11 out of 22 
 
Actimize Ltd.
 patents

Years Active: 2022-2025

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11 patents (USPTO):Explore Patents
1. 12469007 - Automatic generation of a two-part readable suspicious activity report (SAR) from high-dimensional data in tabular form (2025-11-11),
2. 12346781 - Automated concept drift detection in live machine learning systems for machine learning model updating (2025-07-01),
3. 12299542 - Systems and methods for unsupervised feature selection for online machine learning (2025-05-13),
4. 12141806 - Clustering-based data selection for optimization of risk predictive machine learning models (2024-11-12),
5. 12124933 - Artificial intelligence system for anomaly detection in transaction data sets (2024-10-22),
6. 11954174 - Sharing financial crime knowledge (2024-04-09),
7. 11900385 - Computerized-method and system for predicting a probability of fraudulent financial-account access (2024-02-13),
8. 11755932 - Online unsupervised anomaly detection (2023-09-12),
9. 11531903 - Real drift detector on partial labeled data in data streams (2022-12-20),
10. 11361254 - Computerized-system and method for generating a reduced size superior labeled training dataset for a high-accuracy machine learning classification model for extreme class imbalance of instances (2022-06-14),
11. 11328301 - Online incremental machine learning clustering in anti-money laundering detection (2022-05-10),

Title: Innovations of Danny Butvinik in Machine Learning

Introduction

Danny Butvinik is a prominent inventor based in Haifa, Israel, known for his significant contributions to the field of machine learning. With a total of 10 patents to his name, Butvinik has been at the forefront of developing innovative solutions that enhance the capabilities of machine learning systems.

Latest Patents

One of his latest patents is titled "Automated concept drift detection in live machine learning systems for machine learning model updating." This invention provides 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 metrics, and generating an ML update paradigm based on identified concept drift.

Another notable patent is focused on "Systems and methods for unsupervised feature selection for online machine learning." This invention allows for the selection of features from various online data sources, enabling real-time machine learning applications. The aggregated feature set and data can be utilized by machine learning models to enhance their performance in real-time scenarios.

Career Highlights

Danny Butvinik works at Actimize Ltd., where he continues to innovate and develop advanced machine learning technologies. His work has significantly impacted the efficiency and effectiveness of machine learning applications in various industries.

Collaborations

Butvinik collaborates with talented individuals such as Yoav Avneon and Gabrielle Zaghdoun Azoulay, contributing to a dynamic and innovative work environment.

Conclusion

Danny Butvinik's contributions to machine learning through his patents and work at Actimize Ltd. highlight his role as a leading inventor in the field. His innovative solutions are paving the way for advancements in machine learning technologies.

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