Marie-Jeanne Lesot

Marie-Jeanne Lesot obtained her PhD from the University Pierre and Marie Curie in 2005 and since 2006 she is an associate professor in the department of Computer Science of Paris 6 (LIP6) and member of the Machine Learning and Information Retrieval (MALIRE) department. Her research interests include fuzzy machine learning, in particular fuzzy clustering, typicality and fuzzy prototypes, and similarity measures.

Publications

Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
Anne Laurent, Marie-Jeanne Lesot. © 2010. 466 pages.
Today, fuzzy methods provide tools to handle data sets in relevant, robust and interpretable ways, making it possible to model and exploit imprecision and uncertainty in data...