CA

Louis-Philippe Asselin

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Louis-Philippe Asselin: Innovator in Machine Learning Techniques

Introduction

Louis-Philippe Asselin is a notable inventor based in Canada, recognized for his contributions to the field of machine learning. He has developed innovative techniques that enhance the extraction of associations between text labels, symbols, and links in schematic diagrams. His work is particularly relevant in industries that utilize complex diagrams, such as engineering and architecture.

Latest Patents

Louis-Philippe Asselin holds a patent for "Techniques for extracting associations between text labels and symbols and links in schematic diagrams." This patent outlines methods that employ two distinct machine learning models: a symbol association model and a link association model. The symbol association model utilizes a deep learning neural network architecture to evaluate the relationship between text labels and symbols, while the link association model employs a gradient boosting tree architecture to assess the relationship between text labels and links. This dual approach allows for a more accurate understanding of schematic diagrams presented in image-only formats.

Career Highlights

Asselin is currently employed at Bentley Systems, Inc., a company renowned for its software solutions in infrastructure engineering. His role involves leveraging his expertise in machine learning to develop advanced tools that improve the efficiency and accuracy of schematic diagram analysis. His innovative work has positioned him as a key contributor to the company's technological advancements.

Collaborations

Some of Louis-Philippe Asselin's coworkers include Marc-Andrè Gardner and Simon Savary. Their collaborative efforts contribute to the development of cutting-edge solutions in the field of engineering software.

Conclusion

Louis-Philippe Asselin's work exemplifies the intersection of machine learning and engineering, showcasing how innovative techniques can enhance the understanding of complex diagrams. His contributions continue to influence the industry and pave the way for future advancements.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…