River Forest, IL, United States of America

C Ates Dagli

This inventor holds 2 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2017-2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: C Ates Dagli. Retrieved from https://idiyas.com/inventor/c-ates-dagli

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


% Patents Active = 50.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2017-2019

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2 patents (USPTO):Explore Patents

Title: C Ates Dagli: Innovator in Predictive Modeling

Introduction

C Ates Dagli is a notable inventor based in River Forest, IL (US). He has made significant contributions to the field of predictive modeling, holding 2 patents that showcase his innovative approaches.

Latest Patents

One of his latest patents is titled "Re-sizing data partitions for ensemble models in a mapreduce framework." This patent describes techniques for revising data partition sizes to enhance the generation of predictive models. The method involves determining an initial number of base model partitions from various data sources and evaluating the initial partition size against reference sizes. It further includes finalizing the number of base model partitions and generating revised base models based on the new partition sizes.

Career Highlights

C Ates Dagli is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in data partitioning and predictive modeling. His work is instrumental in advancing the capabilities of ensemble models within a mapreduce framework.

Collaborations

He has collaborated with notable colleagues such as Niall Fraser McCarroll and Dmitry Vasilenko, contributing to a dynamic work environment that fosters innovation.

Conclusion

C Ates Dagli's contributions to predictive modeling and data partitioning reflect his commitment to innovation in technology. His patents and work at IBM highlight his role as a key figure in the advancement of data science.

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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