معرفی
Baptiste Jeudy is an Associate Professor at the University of Saint-Étienne since 2006, affiliated with the Hubert Curien Laboratory's machine learning group. His research focuses on data mining, graph mining, and their applications in video tracking and grammatical inference.
- Teaching: Responsible for the ATII professional license program, teaching courses in algorithms, computer architecture, operating systems, data mining, and graph theory.
- Research Projects: Led the ANR MDCO BINGO2 project (2008-2011) and participated in European projects like cInQ FET IST (2001-2004) and ANR SoLSTiCe (2014-2018).
Research Interests: Data mining, graph mining, video tracking, grammatical inference, and constraint-based association rule mining. His work bridges theoretical advancements with practical applications in large-scale datasets and biomedical informatics.
Publications: Active in data mining and knowledge discovery, with contributions to association rule optimization, condensed representations, and constraint-based pattern mining. His publications span journals like Intelligent Data Analysis and conferences such as ECML/PKDD and IDEAS.
Advising: Has co-supervised PhD and Master’s students including Romain Deville, Fabien Diot, and Hoang-Tung Tran, focusing on projects related to data mining, pattern mining, and industrial collaborations.
