Refereed conference proceedings

  1. West, G., Swindall, M. I., Brusuelas, J. H., Maltomini, F., Gerhardt, M., D’Angelo, M., & Wallin, J. F. (2024, August). A deep learning pipeline for the palaeographical dating of ancient Greek papyrus fragments. The Machine Learning for Ancient Languages Workshop at the 62nd Annual Meeting of the Association for Computational Linguistics. https://aclanthology.org/2024.ml4al-1.18
  2. Swindall, M. I., Upadhyay, K., Brusuelas, J. H., West, G., & Wallin, J. F. (2024, May). Smart Digital Edition Management: A Blockchain Framework for Papyrology. Proceedings of the 2024 Computers and People Research Conference. https://doi.org/10.1145/3632634.3655860
  3. Swindall, M. I., West, G., Brusuelas, J. H., Williams, A. C., & Wallin, J. F. (2024, March). Towards a Platform for AI-Assisted Papyrology. Past Meets Future Workshop at the 2024 International Conference on Intelligent User Interfaces (IUI 2024).
  4. Swindall, M. I., West, G., Brusuelas, J. H., & Wallin, J. F. (2022, November). Crowdsourcing Image Datasets: An Examination of Ground-Truth in Labeling, Text Segmentation, & Sampling Bias. The Tenth AAAI Conference on Human Computation and Crowdsourcing Doctoral Consortium.
  5. Swindall, M., Player, T., Keener, B., Williams, A., Brusuelas, J., Nicolardi, F., D’Angelo, M., Vergara, C., McOsker, M., & Wallin, J. (2022). Dataset Augmentation in Papyrology with Generative Models: A Study of Synthetic Ancient Greek Character Images. 4948–4954.
  6. Swindall, M. I., Croisdale, G., Hunter, C. C., Keener, B., Williams, A. C., Brusuelas, J. H., Krevans, N., Sellew, M., Fortson, L., & Wallin, J. F. Exploring Learning Approaches for Ancient GreekCharacter Recognition with Citizen Science Data. 2021 17th International Conference on EScience (EScience), 128–137.

Refereed journal articles

  1. West, G., Swindall, M. I., Keener, B., Player, T., Williams, A. C., Brusuelas, J. H., & Wallin, J. F. (2024). Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri. Journal of Data Mining & Digital Humanities, Documents historiques et reconnaissance automatique de texte. https://jdmdh.episciences.org/12958