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Dr. H. (Hannes) Rosenbusch

Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Psychological Methods
Expertisegebied: Computational Literary Studies

Bezoekadres
  • Nieuwe Achtergracht 129
Postadres
  • Postbus 15906
    1001 NK Amsterdam
Contactgegevens
Social media
  • Profile

    I read, analyze, and write fiction books. For more, please visit hannesrosenbusch.com.

    Research expertise

    • Computational Literary Studies

     

  • Publicaties

    2026

    • Korthals, L., Akrong, E., Geller, G., Rosenbusch, H., Grasman, R., & Visser, I. (2026). Towards Reliable LLM Grading Through Self-Consistency and Selective Human Review: Higher Accuracy, Less Work. Machine Learning and Knowledge Extraction, 8(3), Article 74. https://doi.org/10.3390/make8030074
    • Rosenbusch, H., & Korthals, L. (2026). Are Some Books Better Than Others? An Analysis of Reader Responses. Journal of Computational Literary Studies. https://doi.org/10.48694/jcls.4619

    2025

    • Korthals, L., Rosenbusch, H., Grasman, R., & Visser, I. (2025). Grading University Students with LLMs: Performance and Acceptance of a Canvas-Based Automation. In A. I. Cristea, E. Walker, Y. Lu, O. C. Santos, & S. Isotani (Eds.), Artificial Intelligence in Education : Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED: 26th International Conference, AIED 2025, Palermo, Italy, July 22–26, 2025 : proceedings (Vol. II, pp. 36-43). (Communications in Computer and Information Science; Vol. 2591). Springer. https://doi.org/10.1007/978-3-031-99264-3_5 [details]
    • Witmer, J., Rosenbusch, H., & Meral, E. O. (2025). The relative importance of looks, height, job, bio, intelligence, and homophily in online dating: A conjoint analysis. Computers in Human Behavior Reports, 17, Article 100579. https://doi.org/10.1016/j.chbr.2024.100579 [details]

    2024

    • Opiełka, G., Rosenbusch, H., Vijverberg, V., & Stevenson, C. E. (2024). Do Large Language Models Solve ARC Visual Analogies Like People Do? In L. Samuelson, S. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), 46th Annual Meeting of the Cognitive Science Society (CogSci 2024): Dynamics of Cognition : Rotterdam, the Netherlands, 24-27 July 2024 (Vol. 1, pp. 579-586). (Proceedings of the Annual Meeting of the Cognitive Science Society; Vol. 46). Cognitive Science Society. https://escholarship.org/uc/item/4bp4m6cf [details]

    2023

    2022

    2020

    • Rosenbusch, H., Hilbert, L. P., Evans, T., & Zeelenberg, M. (2020). StatBreak: Identifying “lucky” data points through genetic algorithms. Advances in Methods and Practices in Psychological Science, 3, 216-228. https://doi.org/10.1177/2515245920917950

    2023

    • Thoms, L., Veldkamp, K. A., Rosenbusch, H., & Stevenson, C. E. (2023). Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method. ArXiv. https://doi.org/10.48550/arXiv.2311.08083

    2022

    • Rosenbusch, H., Kip, A., Ren, D., Van Dijk, E., van Beest, I. & Meral, E. (2022). Social Ball: An immersive research paradigm to study social ostracism. DataverseNL. https://doi.org/10.34894/nlr2yi
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Nevenwerkzaamheden
    • Appinio
      Part-time work as data scientist