Rafael Campos Do Amaral E Vasconcellos

Title: Rafael Campos Do Amaral E Vasconcellos and Multimodal Machine Learning

Introduction

Rafael Campos Do Amaral E Vasconcellos is an inventor associated with Plymouth, Minnesota, and Optum, Inc. His patent work addresses machine learning methods for interpreting entities through multiple types of data.

Latest Patents

The provided information identifies one patent associated with Vasconcellos: “Deep Model Integration Techniques for Machine Learning Entity Interpretation.” The patent describes a multimodal process that generates text-based intermediate representations from textual input, then uses those representations and input images to create image-based representations. The model combines these results with an image narrative summary to produce an entity representation summary, which can support a prediction-based action. Vasconcellos is credited with 1 patent.

Career Highlights

Vasconcellos’s listed patent reflects work on integrating textual and visual information within machine learning models. The approach is designed to produce a more comprehensive representation of an entity and use it to inform subsequent actions. The provided information associates him with Optum, Inc.

Collaborations

Ryan Michael Swan is identified as a coworker of Vasconcellos. The available details do not specify their roles or describe a particular joint project.

Conclusion

Rafael Campos Do Amaral E Vasconcellos’s listed invention focuses on combining text and image data to support machine learning interpretation and prediction.