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Results: 75
Number of items: 75
  • Open Access
    Efthymiou, A., Kackovic, M., Rudinac, S., Worring, M., & Wijnberg, N. (2026). Being Ranked in a Material World: The visual originality of an artwork and its effects on the artist’s canonization. Organization Studies, 47(1), 93-125. https://doi.org/10.1177/01708406251397720
  • Open Access
    Wang, S., Najdenkoska, I., Zhu, H., Rudinac, S., Kackovic, M., Wijnberg, N. M., & Worring, M. (2025). ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding. In MM '25: Proceedings of the 33rd ACM International Conference on Multimedia : October 27-31, 2025, Dublin Ireland (pp. 6700-6709). Association for Computing Machinery. https://doi.org/10.1145/3746027.3755673
  • Open Access
    Schaap, T., Dolfsma, W., Orosa-Paleo, I., Wijnberg, N., & Gemser, G. (2025). Borrowing between Genres in Electronic Music: Boundary Permeability and DistanceS. Journal of Economic Issues, 59(4), 1033-1055. https://doi.org/10.1080/00213624.2025.2575139
  • Open Access
    Liberatore, T., Groth, P., Kackovic, M., & Wijnberg, N. (2025). Influence Beyond Similarity: A Contrastive Learning Approach to Object Influence Retrieval. In M. Alam, M. Rospocher, M. van Erp, L. Hollink, & G. Asefa Gesese (Eds.), Knowledge Engineering and Knowledge Management: 24th International Conference, EKAW 2024, Amsterdam, The Netherlands, November 26–28, 2024 : proceedings (pp. 35-52). (Lecture Notes in Computer Science; Vol. 15370), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-77792-9_3
  • Open Access
    Boersma, M., Manoorkar, K., Palmigiano, A., Panettiere, M., Tzimoulis, A., & Wijnberg, N. M. (2025). Flexible categorization using formal concept analysis and Dempster-Shafer theory. International Journal of Approximate Reasoning, 187, Article 109548. https://doi.org/10.1016/j.ijar.2025.109548
  • Open Access
    Esposito, C. D. (2025). Emerging fields: Their strategic implications and identification. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Li, X., Esposito, C. D., Groth, P., Sitruk, J., Szatmari, B., & Wijnberg, N. (2025). Evaluation of unsupervised static topic models’ emergence detection ability. PeerJ Computer Science, 11, Article 2875. https://doi.org/10.7717/peerj-cs.2875
  • Open Access
    Boersma, M., Manoorkar, K., Palmigiano, A., Panettiere, M., Tzimoulis, A., & Wijnberg, N. (2024). Outlier detection using flexible categorisation and interrogative agendas. Decision Sciences, 180, Article 114196. https://doi.org/10.1016/j.dss.2024.114196
  • Open Access
    Tomaselli, A., Acar, O. A., Piazzai, M., & Wijnberg, N. M. (2024). When More is More. Web publication or website, California Management Review. https://cmr.berkeley.edu/2024/04/when-more-is-more/
  • Open Access
    Wang, S., Shen, J., Efthymiou, A., Rudinac, S., Kackovic, M., Wijnberg, N., & Worring, M. (2024). Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks. In S. Rudinac, A. Hanjalic, C. Liem, M. Worring, B. Þ. Jónsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29–February 2, 2024 : proceedings (Vol. III, pp. 462-476). (Lecture Notes in Computer Science; Vol. 14556). Springer. https://doi.org/10.1007/978-3-031-53311-2_34
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