Berlin, Germany

Michele Donini

USPTO Granted Patents = 3 

Average Co-Inventor Count = 6.2

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022-2024

Loading Chart...
3 patents (USPTO):Explore Patents

Title: Michele Donini - Innovator in Computer Vision

Introduction

Michele Donini is a prominent inventor based in Berlin, Germany. She has made significant contributions to the field of computer vision, holding three patents that showcase her innovative approach to machine learning and data interpretation.

Latest Patents

Michele's latest patents include groundbreaking work in performing explanation jobs for computer vision tasks. This patent outlines a method for executing explanation jobs for machine learning models, which involves extracting features from images and determining their relative importance in the model's inferences. The results include generated heat maps that provide insights into the model's decision-making process. Another notable patent focuses on global explanations of machine learning model predictions for input containing text attributes. This invention identifies groups of related tokens from text records and generates prediction influence scores, ultimately presenting an explanatory data set based on aggregate scores.

Career Highlights

Michele Donini is currently employed at Amazon Technologies, Inc., where she continues to push the boundaries of technology and innovation. Her work is instrumental in enhancing the understanding of machine learning models and their applications in real-world scenarios.

Collaborations

Michele collaborates with esteemed colleagues, including Krishnaram Kenthapadi and Cedric Philippe Archambeau, who contribute to her research and development efforts in the field of computer vision.

Conclusion

Michele Donini's contributions to computer vision and machine learning exemplify her innovative spirit and dedication to advancing technology. Her patents not only enhance the understanding of machine learning models but also pave the way for future advancements in the field.

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