Exhibitors 2021


Informazioni implicite ed esplicite nei documenti digitali

Informazioni implicite ed esplicite nei documenti digitali

Digital documents can contain sensitive data both explicitly (e.g., personal data) and implicitly (e.g., metadata showing the author of the text). It is important to remove any sensitive data before the publication of the documents. To this end, Unibas (in collaboration with Multipartner spa) has started a research project about the use of artificial intelligence to find and remove sensitive data from digital documents in an automatic manner. The presented solution relies on machine learning and graph theory based algorithms.

Informazioni implicite ed esplicite nei documenti digitali

Domenico Daniele Bloisi in collaborazione con Multipartner spa

Dr Bloisi is assistant professor (tenure track) with the Department of Mathematics, Computer Science, and Economics at the University of Basilicata. He received his PhD, M.Sc., and B.Sc. degrees in Computer Engineering from Sapienza University of Rome in 2010, 2006 and 2004, respectively. Dr Bloisi collaborates with the SPQR robot soccer team (http://spqr.diag.uniroma1.it/), which is involved in the RoboCup competitions, and works on automatic methods for medical image segmentation for melanoma cancer prevention in collaboration with the medical staff of the Istituto Dermopatico dell'Immacolata (IDI-IRCCS).
Additional information can be found at https://web.unibas.it/bloisi/



 Research
  D.11 (pav. D) - Università degli Studi della Basilicata
 2021

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Data updated on 2022-10-05 - 11.23.16 pm