Jonas Færch Lotz

Jonas Færch Lotz

Enrolled PhD student


Publication year:
  1. 2024
  2. E-pub ahead of print

    Towards more comprehensive nationwide familial aggregation studies in Denmark: The Danish Civil Registration System versus the lite Danish Multi-Generation Register

    Due, J. K., Pedersen, M. G., Antonsen, S., Rommedahl, J., Agerbo, E., Mortensen, P. B., Sørensen, H. T., Lotz, Jonas Færch, Cabello Piqueras, Laura, Fierro Mella, Constanza Catalina, Karamolegkou, Antonia, Igel, Christian, Rust, Phillip, Søgaard, Anders & Pedersen, C. B., 2024, (E-pub ahead of print) In: Scandinavian Journal of Public Health. p. 1-11

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. 2023
  4. Published

    Language Modelling with Pixels

    Rust, Phillip, Lotz, Jonas Færch, Bugliarello, Emanuele, Salesky, E., Lhoneux, M. D. & Elliott, Desmond, 2023, The Eleventh International Conference on Learning Representations. arXiv.org, 32 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Published

    Text Rendering Strategies for Pixel Language Models

    Lotz, Jonas Færch, Salesky, E., Rust, Phillip & Elliott, Desmond, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 10155–10172

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. 2022
  7. Published

    Date Recognition in Historical Parish Records

    Cabello Piqueras, Laura, Fierro Mella, Constanza Catalina, Lotz, Jonas Færch, Rust, Phillip, Rommedahl, J., Due, J. K., Igel, Christian, Elliott, Desmond, Pedersen, C. B., Salazar, I. & Søgaard, Anders, 2022, Frontiers in Handwriting Recognition : 18th International Conference, ICFHR 2022, Hyderabad, India, December 4–7, 2022, Proceedings. Porwal, U., Fornés, A. & Shafait, F. (eds.). Springer, p. 49-64 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13639 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. Published

    Predicting crime during or after psychiatric care: Evaluating machine learning for risk assessment using the Danish patient registries

    Trinhammer, M. L., Merrild, A. C. H., Lotz, Jonas Færch & Makransky, Guido, 2022, In: Journal of Psychiatric Research. 152, p. 194-200

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 283953849