Plusieurs contributions dans A. Pinche and P.A. Stokes (éd), Historical Documents and Automatic Text Recognition. Special Issue of Journal of Digital Humanities and Data Management (2023–24).
Bambaci, L., & Stoekl Ben Ezra, Daniel . (2023). Enhancing HTR of Historical Texts through Scholarly Editions: A Case Study from an Ancient Collation of the Hebrew Bible. Proceedings of the Computational Humanities Research Conference 2023, Paris, France, December 6-8, 2023, 3558, 554‑576. https://doi.org/10.5281/zenodo.13739814
Clérice, Thibault, et al. CATMuS Medieval: A multilingual large-scale cross-century dataset in Latin script for handwritten text recognition and beyond. ICDAR (2024).
Kiessling, B., Stökl Ben Ezra, D., Miller M. BADAM: A Public Dataset for Baseline Detection in Arabic-script Manuscripts, HIP@ICDAR 2019 (2019)
Kiessling, B.; Tissot, R., Stökl Ben Ezra, D., Stokes P. eScriptorium: An Open Source Platform for Historical Document Analysis, OST@ICDAR 2019 (2019)
Kiessling, B. Kraken – A Universal Text Recognizer for the Humanities. DH 2019 (2019).
Kiessling, B., Stökl Ben Ezra, D., Ast, R., Essler, H. Aligning extant transcriptions of documentary and literary papyri with their glyphs, 29th International Congress of Papyrology, Lecce (2019)
Kiessling, B. A Modular Region and Text Line Layout Analysis System. 17th International Conference on Frontiers in Handwriting Recognition (ICFHR) (2020)
Kiessling, Benjamin, CurT: end-to-end text line detection in historical documents with transformers. ICFHR 2022
Kiessling, B., & Clérice, T. (2024). Does Context Matter ? Enhancing Handwritten Text Recognition with Metadata in Historical Manuscripts. Computational Humanities Research (CHR), Aarhus. https://doi.org/10.5281/zenodo.14870764
Sadeh, G., Wolf, L., Hassner, T., Dershowitz, N., Stökl Ben Ezra, D. Viral Transcript Alignment ICDAR (2015): 711-715.
Seuret, M., Stökl Ben Ezra, D., Liwicki, M. Robust Heartbeat-based Line Segmentation Methods for Regular Texts and Paratextual Elements. HIP@ICDAR (2017) 71-76.
Stokes, P., Kiessling, B., Tissot, R., Stökl Ben Ezra, D. EScripta: A New Digital Platform for the Study of Historical Texts and Writing, DH2019.
Stokes, P.A., B. Kiessling, D. Stökl Ben Ezra, R. Tissot, and H. Gargem. The eScriptorium VRE for Manuscript Cultures. Ancient Manuscripts and Virtual Research Environments, ed. Claire Clivaz and Garrick V. Allen. Special issue of Classics@ 18 (2021).
Stökl Ben Ezra, D., Brown-DeVost, B., Dershowitz, N., Pechorin, A., Kiessling, B., Transcription Alignment for Highly Fragmentary Historical Manuscripts: The Dead Sea Scrolls. ICFHR (2020) 361-366.
Stökl Ben Ezra, D., Lapin, H., Z-profile: Holistic Preprocessing Applied to Hebrew Manuscripts for HTR with Ocropy and Kraken” Manuscript Cultures 15 (2021) 25-36.
Stökl Ben Ezra, D. Computational Document Analysis: New and Open Questions
from a Pragmatic Perspective, Keynote Lecture, ICFHR 2020.
Stökl Ben Ezra, D., Lapin, H., Lolli, E. Jablonski, P. Sofer Mahir: Opening Up Rabbinic Manuscripts Towards Scholarly Editions, DHJewish conference at the University of Luxembourg, 11-14 January, 2021. watch video.
Stökl Ben Ezra, D., Brown-DeVost, B., Jablonski, P., Kiessling, B., Lolli, E., Lapin, H. “BiblIA – a General Model for Medieval Hebrew Manuscripts and an Open Annotated Dataset” HIP@ICDAR 2021.
Stökl Ben Ezra D., B. Brown-DeVost, P. Jablonski (2021) Exploiting Insertion Symbols for Marginal Additions in the Recognition Process to Establish Reading Order. Document Analysis and Recognition – ICDAR 2021 Workshops. ICDAR 2021. Lecture Notes in Computer Science, vol 12917. Springer, Cham.
Stoekl Ben Ezra, Daniel, Bambaci, L., Kiraz, G., Roughan, C., & Freyder, Matthieu . (2024, décembre 4). Steps Towards Mining Manuscript Images for Untranscribed Texts: A Case Study From the Syriac Collection at the Vatican Library. Computational Humanities Research Conference 2024 (CHR 2024), Aarhus, Denmark. https://doi.org/10.5281/zenodo.15396841
