On the use of pre-trained deep learning methods for image-based dating.

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Title: On the use of pre-trained deep learning methods for image-based dating.
Authors: Mladen Popović, Maruf A. Dhali, Lambert Schomaker, Johannes van der Plicht, Kaare Lund Rasmussen, Jacopo La Nasa, Ilaria Degano, Maria Perla Colombini, Eibert Tigchelaar
Publication Year: 2025
Subject Terms: Ecology, Plant Biology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, almost complete lack, enoch could predict, dated scroll samples, ancient handwritten manuscripts, div >< p, dead sea scrolls, 14 , computed date predictions, trained enoch model, present enoch, prediction model, enoch ’, dated scrolls, bearing manuscripts, based predictions, palaeographic post, often older, hoc evaluation, current debates, based dates, based date, 7 years, 135 non
Description: On the use of pre-trained deep learning methods for image-based dating.
Document Type: article in journal/newspaper
Language: unknown
DOI: 10.1371/journal.pone.0323185.s006
Availability: https://doi.org/10.1371/journal.pone.0323185.s006
https://figshare.com/articles/journal_contribution/On_the_use_of_pre-trained_deep_learning_methods_for_image-based_dating_/29237931
Rights: CC BY 4.0
Accession Number: edsbas.9200AD24
Database: BASE
Description
Abstract:On the use of pre-trained deep learning methods for image-based dating.
DOI:10.1371/journal.pone.0323185.s006