Publisher
Springer Nature Switzerland
Reference24 articles.
1. Aioanei, A.C., Hunziker-Rodewald, R.R., Klein, K.M., Michels, D.L.: Deep Aramaic: towards a synthetic data paradigm enabling machine learning in epigraphy. PLoS ONE 19(4), e0299297 (2024)
2. Ališan, L.: Ayrarat. S. Łazar, Venise (1890)
3. Assael, Y., et al.: Restoring and attributing ancient texts using deep neural networks. Nature 603(7900), 280–283 (2022)
4. Collective: Diwan hay vimagrut’iwn (= Corpus of Armenian inscriptions). National Academy of Sciences of Armenia, Erevan (1966–2017)
5. Eyharabide, V., et al.: Study of historical byzantine seal images: the bhai project for computer-based sigillography. In: Proceedings of the 7th International Workshop on Historical Document Imaging and Processing. HIP ’23, pp. 49–54. Association for Computing Machinery, New York, NY, USA (2023). https://doi.org/10.1145/3604951.3605523