Company Filing History:
Years Active: 2014-2025
Title: The Innovations of Alberto Mozo Velasco
Introduction
Alberto Mozo Velasco is a notable inventor based in Madrid, Spain. He has made significant contributions to the fields of machine learning and data modeling. With a total of 3 patents, his work focuses on advancing technology through innovative methods and systems.
Latest Patents
One of his latest patents is a "Method for modelling synthetic data in generative adversarial networks." This method involves a generator agent (G) that creates synthetic data and a discriminator agent (D) that distinguishes between the generated data and real original data. The process includes computing an Inverse Smirnov transformation for input variables and utilizing an activation function to ensure the synthetic data follows the same distribution as the original data.
Another significant patent is the "Method and system for training and validating machine learning in network environments." This system generates synthetic traffic alongside real traffic, aggregates it into network flows, and transforms it into a dataset for machine learning algorithms. The method includes labeling traffic, selecting features for training, and validating the trained model to ensure accuracy.
Career Highlights
Alberto has worked with prominent companies such as Telefonaktiebolaget LM Ericsson and Telefónica S.A. His experience in these organizations has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in telecommunications and network technologies.
Collaborations
Throughout his career, Alberto has collaborated with talented individuals, including Antonio Agustin Pastor Perales and Diego R. Lopez. These collaborations have fostered a creative environment that has led to the development of impactful technologies.
Conclusion
Alberto Mozo Velasco's contributions to innovation in machine learning and data modeling are noteworthy. His patents reflect a deep understanding of technology and a commitment to advancing the field. His work continues to influence the landscape of data science and network management.