Marco Fiorucci's contribution at the Machine Learning in Archaeology Conference


Marco Fiorucci introduces the research carried out at the CCHT on Machine Learning application to Cultural Heritage at the 'Artificial Intelligence, Machine Learning, and Deep Learning in Archaeology' Conference in Rome (7-8 November 2019) organised by the European Space Agency (ESA) and the British School at Rome (BSR). Marco talks on the application of Graph Neural Networks (GNNs) to remote sensing and ancient document analysis. The approach sheds light on the potential of GNNs for tackling Cultural Heritage research questions.

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