Offre de thèse : AI for archaeozoology: learning methods to identify and cluster faunal remains (Nice)
Although quite recent, the adoption of Machine Learning (ML) techniques for the analysis of archaeological data sets is rapidly increasing. ML applications deal with numerical and/or categorical data, textual data, images and geospatial data. Applications on bioarchaeological data, such as plants ...






