Machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation

Author:

Esposito F.,Malerba D.,Semeraro G.,Ferilli S.,Altamura O.,Basile T.M.A.,Berardi M.,Ceci M.,Di Mauro N.

Publisher

IEEE

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Algorithmic futures: the intersection of algorithms and evidentiary work;Information, Communication & Society;2023-09-08

2. More human than human? Artificial intelligence in the archive;Archives and Manuscripts;2018-11-28

3. Automatic Mosaic Digitalization: a Deep Learning approach to tessera segmentation;2018 Metrology for Archaeology and Cultural Heritage (MetroArchaeo);2018-10

4. Visitor Assistant Tools Based on Machine Learning Approaches in Cultural Heritage Contexts;2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS);2017-12

5. Sample-based collection and adjustment of rules for metadata extraction in business documents;Electronics and Communications in Japan;2012-05-23

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