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Sara Ferro

Ph.D. student in Machine Learning
Post Doc
Cultural Heritage Technologies
Research center
About

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 Her research focus is on developing machine learning and computer vision algorithms for supporting Historical Document Analysis and Ancient Handwritten recognition.

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
Article Journal
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
Article Journal
2024
Ferro S., Torcinovich A., Traviglia A., Pelillo M.
Boosting CNN-based Handwriting Recognition Systems with Learnable Relaxation Labelling
Pattern Recognition
Article Journal
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
Article Journal
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
Article in Press E-print Archive