Search results
Results: 364
Number of items: 364
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Li, M., Zhang, P., Xing, W., Zheng, Y., Zaporojets, K., Chen, J., Zhang, R., Zhang, Y., Gong, S., Hu, J., Ma, X., Liu, Z., Groth, P., & Worring, M. (2026). A survey of large language models for data challenges in graphs. Expert Systems With Applications, 298(A), Article 129643. https://doi.org/10.1016/j.eswa.2025.129643 -
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
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Gisolf, F., Geradts, Z. J. M. H., & Worring, M. (2025). Post-clustering merging with novel metrics for multi-label image collections. Expert Systems With Applications, 288, Article 127875. https://doi.org/10.1016/j.eswa.2025.127875
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Zheng, Y., & Worring, M. (2025). Modeling Edge-Specific Node Features through Co-Representation Neural Hypergraph Diffusion. In CIKM'25: Proceedings of the 34th ACM International Conference on Information and Knowledge Management : November 10-14, 2025, Seoul, Republic of Korea (pp. 4444-4454). Association for Computing Machinery. https://doi.org/10.1145/3746252.3761094
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Arya, D., Gupta, D. K., Rudinac, S., & Worring, M. (2025). Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(1), 19-31. https://doi.org/10.1109/TPAMI.2024.3434483
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McCarthy, C., Quirijnen, L., Van Zandwijk, J. P., Geradts, Z., & Worring, M. (2025). Hi-OSCAR: Hierarchical Open-set Classifier for Human Activity Recognition. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 9(4), Article 199. https://doi.org/10.1145/3770681
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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
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Kombrink, M. H., Geradts, Z. J. M. H., & Worring, M. (2025). Image Steganography Approaches and Their Detection Strategies: A Survey. ACM Computing Surveys, 57(2), Article 33. https://doi.org/10.1145/3694965
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Kombrink, M., van Lierop, S., Stolwijk, D., Worring, M., Vrijdag, D., & Geradts, Z. (2025). REVEAL: A large-scale comprehensive image dataset for steganalysis. Forensic Science International: Digital Investigation, 55, Article 302006. https://doi.org/10.1016/j.fsidi.2025.302006
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