Publicações

Authentication of Art: Assessing the Performance of a Machine Learning Based Authentication Method

AuthID
P-00S-K6F

Author(s)

Chen, A

Jesus, R

Vilarigues, M

Editor(es)

Brooks,A;Brooks,EI

Tipo de Documento

Proceedings Paper

Year published

2020

Publicado

in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN: 1867-8211

Volume: 328 LNICST, Páginas: 328-342

Conference

8Th Eai International Conference on Artsit, Interactivity and Game Creation, Artsit 2019, and the 4Th Eai International Conference on Design, Learning, and Innovation, Dli 2019, Date: 6 November 2019 through 8 November 2019

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Scopus^®

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Google Scholar^®

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Fontes

Publication Identifiers

DOI: 10.1007/978-3-030-53294-9_22

SCOPUS: 2-s2.0-85089313199

Source Identifiers

ISSN: 1867-8211

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Authentication of Art: Assessing the Performance of a Machine Learning Based Authentication Method

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