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For the Inventor, By the Inventor

Fremont, CA, United States of America

Subhransu Basu

USPTO Granted Patents = 13 

Average Co-Inventor Count = 4.2

ph-index = 7

Forward Citations = 98(Granted Patents)


Company Filing History:

goldMedal13 out of 11,294 
 
Oracle International Corporation
 patents

Years Active: 2007-2022

where 'Filed Patents' based on already Granted Patents

13 patents (USPTO):
1. 11455284 - Method and system for adaptively imputing sparse and missing data for predictive models (2022-09-27),
2. 11308049 - Method and system for adaptively removing outliers from data used in training of predictive models (2022-04-19),
3. 10997135 - Method and system for performing context-aware prognoses for health analysis of monitored systems (2021-05-04),
4. 10909095 - Method and system for cleansing training data for predictive models (2021-02-02),
5. 10409789 - Method and system for adaptively imputing sparse and missing data for predictive models (2019-09-10),
6. 8620888 - Partitioning in virtual columns (2013-12-31),
7. 8078652 - Virtual columns (2011-12-13),
8. 8046352 - Expression replacement in virtual columns (2011-10-25),
9. 8005792 - System and method for managing versions of metadata (2011-08-23),
10. 7774379 - Methods for partitioning an object (2010-08-10),
11. 7765246 - Methods for partitioning an object (2010-07-27),
12. 7698310 - System for allowing object metadata to be shared between cursors for concurrent read write access (2010-04-13),
13. 7299239 - Methods for partitioning an object (2007-11-20),

Title: Subhransu Basu: Innovator in Predictive Modeling Technologies

Introduction

Subhransu Basu is a prominent inventor based in Fremont, CA, known for his significant contributions to the field of predictive modeling technologies. With a total of 13 patents to his name, he has developed innovative solutions that enhance the capabilities of machine learning systems.

Latest Patents

Among his latest patents is a method and system for adaptively imputing sparse and missing data for predictive models. This patent describes an approach that provides an adaptive solution to missing data for machine learning systems. A gradient solution is provided that is attentive to imputation needs at each of several missingness levels. This multilevel approach treats data missingness at any of multiple severity levels while utilizing, as much as possible, the actual observed data. Another notable patent is a method and system for adaptively removing outliers from data used in training predictive models. This patent describes an improved approach to remove data outliers by filtering out data correlated to detrimental events within a system. One or more detrimental event conditions are defined to identify and handle abnormal transient states from collected data for a monitored system.

Career Highlights

Subhransu Basu is currently employed at Oracle International Corporation, where he continues to push the boundaries of technology through his innovative work. His expertise in predictive modeling has made him a valuable asset to the company.

Collaborations

Throughout his career, Subhransu has collaborated with notable colleagues, including Shrikanth Shankar and Michael Zoll. These collaborations have further enriched his work and contributed to the development of advanced technologies in the field.

Conclusion

Subhransu Basu's contributions to predictive modeling technologies demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of machine learning systems and a dedication to solving complex problems in data analysis.

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