Automatic ceramic identification using machine learning. Lusitanian amphorae and Faience. Two Portuguese case studies-Reference-Cited by-同舟云学术

Automatic ceramic identification using machine learning. Lusitanian amphorae and Faience. Two Portuguese case studies

Published:2024-05-15 Issue:1 Volume:10 Page:
ISSN:2054-8923
Container-title:STAR: Science & Technology of Archaeological Research
language:en
Short-container-title:STAR: Science & Technology of Archaeological Research

Author:

Santos Joel¹^ORCID,Nunes Diogo A.P.²^ORCID,Padnevych Ruslan³,Quaresma José Carlos⁴^ORCID,Lopes Martim⁴^ORCID,Gil Joana⁵,Bernardes João Pedro⁶⁷^ORCID,Casimiro Tania Manuel⁸^ORCID

Affiliation:

1. University of Leicester, Leicester, Portugal

2. Instituto Superior Técnico, Lisbon, Portugal

3. NOVA School of Science and Technology, Lisbon, Portugal

4. CHAM-Centre for Humanities, FCSH-NOVA University of Lisbon, Lisbon, Portugal

5. FCSH-NOVA University of Lisbon, Lisbon, Portugal

6. University of Algarve, Faro, Portugal

7. CEAACP, Faro, Portugal

8. NOVA University of Lisbon FCSH HTC CFE, Lisbon, Portugal

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/20548923.2024.2343214

Reference40 articles.

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4. Hybrid MSRM-Based Deep Learning and Multitemporal Sentinel 2-Based Machine Learning Algorithm Detects Near 10k Archaeological Tumuli in North-Western Iberia

5. Bernardes, J. P., R. Morais, I. Vaz Pinto, and R. Dias. 2013. “A olaria baixo-imperial do Martinhal, Sagres (Portugal).” In Hornos, talleres y focos de producción alfarera en Hispania, edited by D. Bernal, L. C. Juan, M. Bustamante, J. J. Díaz, and A. M. Sáez, 317–329 (Monografías Ex Officina Hispana; 1),. Cadiz: Universidad de Cadiz.