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 Her research focus is on developing machine learning and computer vision algorithms for supporting Historical Document Analysis and Ancient Handwritten recognition.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@Ca'Foscari Venezia
About
All Publications
2024
Ferro S., Pasquariello D., Traviglia A.
Automatic Expansion of Historical Vernacular Abbreviations in Latin Manuscripts
International Journal on Document Analysis and Recognition
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
2024
Leeson M., Giovanelli R., De Bernardin M., Ferro S., Traviglia A.
RITHMS Digital Platform: Social Network Analysis for Intelligence-Led Policing of Cultural Heritage Crime
Researching a Rigged Game: Open-Source Data & the Trade in Cultural Heritage, Publisher: Springer
Book Chapter
Book
Colleagues of Cultural Heritage Technologies