Wiesloch, Germany

Francesco Alda

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.4

ph-index = 1


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Francesco Alda: Innovator in Data Classification Technologies

Introduction

Francesco Alda is a notable inventor based in Wiesloch, Germany. He has made significant contributions to the field of data classification and machine learning. With a total of two patents to his name, Alda's work focuses on enhancing the accuracy and efficiency of data processing technologies.

Latest Patents

Francesco Alda's latest patents include "Identification of features for prediction of missing attribute values" and "Maintaining master data using hierarchical classification." The first patent describes technologies for identifying features that can predict missing attribute values in structured data. This involves pre-processing data, applying cleaning policies, and using correlation-based filtering to enhance the quality of features. The second patent outlines a system and method for classifying data objects using machine learning, where an artificial neural network is trained to identify explained variable values corresponding to data object attributes.

Career Highlights

Alda is currently employed at SAP SE, a leading software company known for its enterprise resource planning solutions. His role involves leveraging his expertise in machine learning to develop innovative solutions that improve data management and classification processes.

Collaborations

Francesco Alda collaborates with talented professionals in his field, including Sergey Smirnov and Evgeny Arnautov. These collaborations enhance the development of advanced technologies and contribute to the success of their projects.

Conclusion

Francesco Alda's contributions to data classification and machine learning demonstrate his commitment to innovation in technology. His patents reflect a deep understanding of data processing challenges and offer solutions that can significantly impact the industry.

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