Search results
Results: 14
Number of items: 14
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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 -
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 -
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 -
Efthymiou, A., Rudinac, S., Kackovic, M., Worring, M., & Wijnberg, N. M. (2023, May 17). Artistic Visual Storytelling [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.20050970.v1
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Kackovic, M., Hartog, J., van Ophem, H., & Wijnberg, N. (2022). The promise of potential: A study on the effectiveness of jury selection to a prestigious visual arts program. Kyklos, 75(3), 410-435. https://doi.org/10.1111/kykl.12303 -
Kackovic, M., & Wijnberg, N. M. (2022). Artists Finding Galleries: Entrepreneurs Gaining Legitimacy in the Art Market. Entrepreneurship Theory and Practice, 46(4), 1092-1116. https://doi.org/10.1177/1042258720950601 -
Kackovic, M., Colavizza, G., & Leiter, A. (2021). Crypto Art – The new kid on the block. Web publication or website, Global Digital Cultures. https://globaldigitalcultures.org/2021/02/15/crypto-art-the-new-kid-on-the-block/ -
Efthymiou, A., Rudinac, S., Kackovic, M., Worring, M., & Wijnberg, N. (2021). Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings. In MM '21: Proceedings of the 29th ACM International Conference on Multimedia : October 20-24, 2021, Virtual Event, China (pp. 3710-3719). Association for Computing Machinery. https://doi.org/10.1145/3474085.3475586 -
Kackovic, M., Bun, M. J. G., Weinberg, C. B., Ebbers, J. J., & Wijnberg, N. M. (2020). Third-party signals and sales to expert-agent buyers: Quality indicators in the contemporary visual arts market. International Journal of Research in Marketing, 37(3), 587-601. https://doi.org/10.1016/j.ijresmar.2019.11.001
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Hartog, J., & Kackovic, M. (2019). On the Idiosyncrasies of the Labour Market for Visual Artists: Striking features, a formal model, and suggestions for further work. Labour: Review of Labour Economics and Industrial Relations, 33(2), 162-186. https://doi.org/10.1111/labr.12140
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