This inventor holds 1 USPTO granted patent. Top assignee: Thales Sa. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: The Innovative Mind of Baptiste Abeloos
Introduction
Baptiste Abeloos is a notable inventor based in Montreal, Canada. He has made significant contributions to the field of knowledge graphs and link prediction. His innovative approach has led to the development of a unique patent that enhances the explainability of link predictions within knowledge graphs.
Latest Patents
Baptiste holds a patent titled "Method of and system for explainability for link prediction in knowledge graph." This patent outlines a method and system for evaluating the relevance score of a given subset of nodes in a knowledge graph for the purpose of link prediction. The process involves obtaining an ontology to generate the knowledge graph, clustering it to form ontology clusters, and generating vectors using an embedding model. Training subgraphs are created by removing subsets of nodes, and prediction models are trained and ranked based on their link predictions. The relevance score of each removed subset is determined, providing potential explanations based on these scores.
Career Highlights
Baptiste Abeloos is currently employed at Thales SA, where he continues to innovate and contribute to advancements in technology. His work focuses on enhancing the capabilities of knowledge graphs, which are essential in various applications, including artificial intelligence and data analysis.
Collaborations
Baptiste collaborates with Freddy Lecue, a fellow innovator in the field. Their partnership fosters a creative environment that encourages the development of groundbreaking ideas and solutions.
Conclusion
Baptiste Abeloos exemplifies the spirit of innovation through his work on knowledge graphs and link prediction. His contributions are paving the way for future advancements in the field, showcasing the importance of explainability in artificial intelligence applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile