Francesco Cartella

This inventor holds 6 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignees: Sony Corporation, Sony Group Corporation. Active years: 2022-2025.

USPTO Granted Patents = 6 (Patent Applications = 1)

% Patents Active = 100.0

EPO Patents = 1 (Patent Applications = 1)

Average Co-Inventor Count = 4.8

ph-index = 1

Forward Citations = 3(Granted Patents)

Company Filing History:

Sony Group Corporation

patents

Years Active: 2022-2025

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6 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12366434 - Apparatus and method for defending a predetermined area from an autonomously moving unmanned aerial vehicle (2025-07-22),

2. 12211048 - Method, apparatus and computer programs for generating a machine-learning system and for classifying a transaction as either fraudulent or genuine (2025-01-28),

3. 12069077 - Methods for detecting a cyberattack on an electronic device, method for obtaining a supervised random forest model for detecting a DDoS attack or a brute force attack, and electronic device configured to detect a cyberattack on itself (2024-08-20),

4. 11972334 - Method and apparatus for generating a combined isolation forest model for detecting anomalies in data (2024-04-30),

5. 11954685 - Method, apparatus and computer program for selecting a subset of training transactions from a plurality of training transactions (2024-04-09),

6. 11379591 - Methods and devices for user authorization (2022-07-05),

Title: Francesco Cartella: Innovator in Autonomous Systems and Machine Learning

Introduction

Francesco Cartella is a notable inventor based in Stuttgart, Germany. He has made significant contributions to the fields of autonomous systems and machine learning, holding a total of 6 patents. His innovative work focuses on enhancing the security and efficiency of unmanned aerial vehicles (UAVs) and transaction classification systems.

Latest Patents

Francesco's latest patents include an "Apparatus and method for defending a predetermined area from an autonomously moving unmanned aerial vehicle." This method involves generating adversarial examples to disrupt the machine-learning-based vision systems of UAVs. Additionally, he has developed a "Method, apparatus and computer programs for generating a machine-learning system and for classifying a transaction as either fraudulent or genuine." This invention utilizes clustering techniques to improve the classification of transactions, ensuring better detection of fraudulent activities.

Career Highlights

Throughout his career, Francesco has worked with prominent companies such as Sony Corporation and Sony Group Corporation. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in technology and innovation.

Collaborations

Francesco has collaborated with talented individuals in his field, including Erbin Lim and Gert Ceulemans. These partnerships have fostered a creative environment that encourages the development of advanced technological solutions.

Conclusion

Francesco Cartella's work exemplifies the spirit of innovation in the realms of autonomous systems and machine learning. His contributions continue to shape the future of technology, making significant strides in security and transaction classification.