Company Filing History:
Years Active: 2021-2022
Title: Innovations of Rodrigo Acuna Agost
Introduction
Rodrigo Acuna Agost is an accomplished inventor based in Golfe Juan, France. He has made significant contributions to the field of machine learning, holding three patents that showcase his expertise and innovative spirit. His work focuses on developing systems and methods that enhance the capabilities of machine learning models in various applications.
Latest Patents
Rodrigo's latest patents include a "System and method for evaluating and deploying unsupervised or semi-supervised machine learning models." This invention outlines methods for evaluating and deploying machine learning models specifically for anomaly detection in monitored systems. The process involves configuring candidate machine learning algorithms for anomaly detection, drawing training and cross-validation sets from a benchmarking dataset, and computing a mean average precision value to select the most effective algorithm for deployment.
Another notable patent is for "Systems and methods for real-time online traveler segmentation using machine learning." This invention describes methods and computing apparatus for segmenting travelers in real-time online contexts. A machine learning classifier is trained using feature vectors and associated tags, allowing it to estimate whether an unidentified user belongs to a predetermined traveler category.
Career Highlights
Rodrigo Acuna Agost is currently employed at Amadeus S.A.S., a leading technology company that provides solutions for the travel industry. His role involves leveraging his expertise in machine learning to develop innovative solutions that enhance user experiences and operational efficiencies.
Collaborations
Rodrigo has collaborated with notable colleagues, including David Renaudie and Alejandro Ricardo Mottini D'Oliveira. These collaborations have contributed to the advancement of machine learning applications within the travel sector.
Conclusion
Rodrigo Acuna Agost is a prominent inventor whose work in machine learning has led to significant advancements in anomaly detection and traveler segmentation. His contributions continue to shape the future of technology in the travel industry.