Cambridge, MA, United States of America

Ariel Gedaliah Kobren

USPTO Granted Patents = 6 

Average Co-Inventor Count = 2.7

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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6 patents (USPTO):

Title: Ariel Gedaliah Kobren: Innovator in Data Processing and Classification

Introduction

Ariel Gedaliah Kobren is a notable inventor based in Cambridge, MA (US). He has made significant contributions to the fields of data processing and classification, holding a total of 6 patents. His work focuses on enhancing the efficiency and effectiveness of ranking and classification models.

Latest Patents

Kobren's latest patents include innovative methods for online post-processing in rankings for constrained utility maximization. This patent describes a process where a stream of data items is received and ranked according to a model that prioritizes relevance. A re-ranking model is then applied to adjust the rankings based on current and previous data batches, ensuring that the most relevant items are sent to applications. Another significant patent involves augmenting training and test sets for improved classification model robustness. This method enhances a target set of texts by inserting new words into base texts, ensuring that the expanded texts meet specific inclusion criteria to improve the model's performance.

Career Highlights

Ariel Gedaliah Kobren is currently employed at Oracle International Corporation, where he continues to develop innovative solutions in data processing. His expertise in the field has led to advancements that benefit various applications and industries.

Collaborations

Kobren has collaborated with talented individuals such as Swetasudha Panda and Michael Louis Wick, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Ariel Gedaliah Kobren is a distinguished inventor whose work in data processing and classification has led to multiple patents and significant advancements in the field. His contributions continue to shape the future of technology and data management.

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