Zasow, Poland

Maksymilian Erazmus

This inventor holds 23 USPTO granted patents and 8 published patent applications, primarily in Machine Learning. Top assignee: International Business Machines Corporation. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maksymilian Erazmus. Retrieved from https://idiyas.com/inventor/maksymilian-erazmus

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

Calculating rank
USPTO Granted Patents = 23 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 3

Forward Citations = 15(Granted Patents)


Location History:

  • Zasow, PL (2021 - 2023)
  • Cracow, PL (2023)
  • Zasów, PL (2022 - 2024)

Company Filing History:


Years Active: 2021-2026

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Areas of Expertise:
Machine Learning Models
Feature Selection
Performance Prediction
Data Monitoring
Concept Drift
Root Cause Analysis
AI Metrics
Dynamic Recommendations
Surrogate Models
Data Labeling
Regression Detection
Outlier Removal
23 patents (USPTO):Explore Patents

Title: **Innovations of Maksymilian Erazmus: Pioneering Machine Learning Solutions**

Introduction

Maksymilian Erazmus, hailing from Zasow, Poland, has made significant contributions to the field of machine learning with a remarkable portfolio of 20 patents. His groundbreaking work focuses on enhancing the performance and adaptability of machine learning models, ensuring they remain effective in dynamic environments.

Latest Patents

Among his latest innovations, Erazmus has developed a patent for "Predicting Performance of Machine Learning Models." This invention outlines a computer-implemented method that predicts the impact of adjustments to machine learning models on key performance indicators (KPIs). By utilizing a regression machine learning model, the method assesses proposed modifications, calculates results for various KPIs, and recommends adjustments based on performance thresholds.

Another noteworthy patent is centered around "Continuous Learning Process Using Concept Drift Monitoring." This method addresses the challenge of performance degradation in machine learning modules over time. By detecting changes in both the module's performance and its predicted performance, the invention ensures that machine learning systems remain robust and responsive to evolving data streams.

Career Highlights

Erazmus is currently affiliated with the prestigious International Business Machines Corporation (IBM), where he continues to push the boundaries of machine learning technology. His expertise in developing innovative methodologies for performance prediction has garnered attention within the tech community, making him a notable figure in his field.

Collaborations

Working alongside talented colleagues such as Rafal Bigaj and Lukasz Grzegorz Cmielowski, Erazmus thrives in collaborative environments that foster creativity and innovation. Together, they have contributed to advancements in machine learning, striving to refine systems that can learn and adapt continuously.

Conclusion

Maksymilian Erazmus stands out as a trailblazer in machine learning innovations. His rich portfolio of patents reflects a commitment to enhancing the functionality of machine learning models, ensuring they meet contemporary challenges. Through his work at IBM and collaborations with other experts, Erazmus exemplifies the spirit of innovation that drives the tech industry forward.

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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