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For the Inventor, By the Inventor

Krakow, Poland

Rafal Bigaj

This inventor holds 31 USPTO granted patents and 10 published patent applications, primarily in Machine Learning. Top assignee: International Business Machines Corporation. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rafal Bigaj. Retrieved from https://idiyas.com/inventor/rafal-bigaj

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

USPTO Granted Patents = 31 

% Patents Active = 87.1

Average Co-Inventor Count = 4.1

ph-index = 3

Forward Citations = 18(Granted Patents)


Location History:

  • Kracow, PL (2023)
  • Cracow, PL (2020 - 2024)

Company Filing History:

goldMedal31 out of 166,325 
 
International Business Machines Corporation
 patents

Years Active: 2020-2026

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Areas of Expertise:
Machine Learning
Artificial Intelligence
Performance Prediction
Data Monitoring
Feature Importance
Root Cause Analysis
Deep Learning
Continuous Learning
Model Evaluation
Data Labeling
Regression Detection
Dynamic Recommendation
31 patents (USPTO):Explore Patents
1. 12731068 - Selecting representative features for machine learning models (2026-09-08),
2. 12572620 - Reliable inference of a machine learning model (2026-03-10),
3. 12254065 - Regression detection and correction in relationships between performance indicators and ai metrics (2025-03-18),
4. 12216738 - Predicting performance of machine learning models (2025-02-04),
5. 12106191 - Continuous learning process using concept drift monitoring (2024-10-01),
6. 11922279 - Standard error of prediction of performance in artificial intelligence model (2024-03-05),
7. 11915150 - Refinement of a predicted event based on explainability data (2024-02-27),
8. 11816542 - Finding root cause for low key performance indicators (2023-11-14),
9. 11790256 - Analyzing test result failures using artificial intelligence models (2023-10-17),
10. 11748638 - Machine learning model monitoring (2023-09-05),
11. 11704220 - Machine learning based data monitoring (2023-07-18),
12. 11699082 - Multi-dimensional record correlations (2023-07-11),
13. 11699071 - Evaluating surrogate machine learning models (2023-07-11),
14. 11681928 - Refinement of a predicted event based on explainability data (2023-06-20),
15. 11676063 - Exposing payload data from non-integrated machine learning systems (2023-06-13),

Title: Spotlight on Inventor Rafal Bigaj from Cracow

Introduction:

Meet the talented inventor Rafal Bigaj, hailing from Cracow, Poland. With an impressive portfolio of 27 patents under his belt, Rafal is making waves in the field of innovation and technology. His latest patents showcase his expertise in machine learning and artificial intelligence.

Latest Patents:

Rafal's recent patents include groundbreaking inventions such as "Continuous learning process using concept drift monitoring" and "Standard error of prediction of performance in artificial intelligence model." These inventions demonstrate his keen insights into predictive analytics and uncertainty estimation in machine learning models.

Career Highlights:

Rafal Bigaj is a key member of the renowned International Business Machines Corporation, known as IBM. His innovative work within the company has led to significant advancements in the field of artificial intelligence and predictive modeling. Rafal's contributions have cemented his reputation as a visionary inventor in the tech industry.

Collaborations:

In his professional journey, Rafal has collaborated closely with esteemed colleagues such as Lukasz Grzegorz Cmielowski and Wojciech Sobala. Together, they have worked on cutting-edge projects that have pushed the boundaries of technology and innovation. Their teamwork and dedication have played a pivotal role in the success of their inventions.

Conclusion:

In conclusion, Rafal Bigaj stands out as a prolific inventor with a passion for pushing the envelope in the realm of machine learning and artificial intelligence. His groundbreaking patents and collaborations are a testament to his ingenuity and expertise in the field. Rafal's innovative spirit continues to inspire the tech community and pave the way for future advancements in the industry.

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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