Sara Ferro is a postdoctoral researcher focusing on improving Machine Learning and Deep Learning models to digitalise documents and perform Natural Language Processing on textual data and Social Network Analysis. She received the Ph.D. degree at the Department of Environmental Science, Informatics and Statistics (DIAS) at Cà Foscari, University of Venice, Italy. The Ph.D. project was in collaboration with the Center of Cultural Heritage (CCHT) group at the Italian Institute of Technology (IIT). She received a M.Sc. degree in Control and Automation Engineering and a second level Master in Machine Learning from the University of Padua, Italy. Her research focus is on developing machine learning and computer vision algorithms for supporting Historical Document Analysis and Ancient Handwritten recognition.
Research center
					              	CCHT@Treviso
				              			About
	              			All Publications
	                2025
										Ferro S., Giovanelli R., Leeson M., De Bernardin M., Traviglia A.
										A novel NLP-driven approach for enriching artefact descriptions, provenance, and entities in cultural heritage
										Neural Computing and Applications
									
										
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								2025
										Leeson M., Giovanelli R., Ferro S., De Bernardin M., Traviglia A.
										Overcoming data siloes in cultural heritage crime research: a consolidated OSINT-derived dataset on art, antiquities, and the trade in cultural goods
										Archival Science
									
										
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								2024
										Ferro S., Torcinovich A., Traviglia A., Pelillo M.
										Boosting CNN-based Handwriting Recognition Systems with Learnable Relaxation Labelling
										Pattern Recognition
									
										
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								2024
										Poggi G., Andaleeb Y., Jaturapitpornchai R., Ferro S., Sech G., Naylor P., Salvi M. C., Vascon S., Le Saux B., Fiorucci M., Traviglia A.
										Multitemporal Multispectral Dataset for Palaeochannels Segmentation (MAPS)
										IEEE Access
									
										
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								2024
										Poggi G., Yaseen A., Jaturapitpornchai R., Ferro S., Sech G., Naylor P., Salvi M.C., Vascon S., Le Saux B., Fiorucci M., Traviglia A.
										Multitemporal Multispectral Dataset for Palaeochannels Segmentation (MAPS)
										Techrxiv