This inventor holds 1 USPTO granted patent. Top assignee: Feedzai—consultadoria E Inovaçâo Tecnológica, S.a.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Mariana Sc Almeida: Innovator in Explainable Artificial Intelligence
Introduction
Mariana Sc Almeida is a prominent inventor based in Lisbon, Portugal. He has made significant contributions to the field of artificial intelligence, particularly in the area of explainable AI. His innovative work focuses on enhancing the understanding of machine learning predictions through human-in-the-loop evaluation.
Latest Patents
Mariana holds a patent titled "Human-in-the-loop evaluation for explainable artificial intelligence." This patent involves a method where a data stream is received and analyzed using various machine learning models. The process includes testing different candidate presentations associated with machine learning results provided to a group of human reviewers. The goal is to improve the explanations generated by machine learning models, ensuring that the results are comprehensible and actionable.
Career Highlights
Mariana is currently employed at Feedzai—Consultoria e Inovação Tecnológica, S.A. His work at Feedzai emphasizes the integration of advanced AI technologies in financial systems, aiming to enhance security and efficiency. With a focus on innovation, Mariana has established himself as a key player in the tech industry.
Collaborations
Mariana has collaborated with notable colleagues, including Sérgio Gabriel Pontes Jesus and Catarina Garcia Belém. These partnerships have fostered a creative environment that encourages the development of cutting-edge solutions in artificial intelligence.
Conclusion
Mariana Sc Almeida is a visionary inventor whose work in explainable artificial intelligence is paving the way for more transparent and understandable AI systems. His contributions are vital in bridging the gap between complex machine learning models and human comprehension.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile