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Results: 370
Number of items: 370
  • Open Access
    Dalbah, Y., Worring, M., & Hsu, Y.-C. (2026). Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction. In S. Koenig, C. Jenkins, & M. Taylor (Eds.), Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence: January 20-January 27, 2026, Singapore (Vol. 25, pp. 20684-20692). AAAI Press. https://doi.org/10.1609/aaai.v40i25.39206
  • Open Access
    McCarthy, C., van Zandwijk, J. P., Worring, M., & Geradts, Z. (2026). Forensic activity classification using digital traces from iPhones: A machine learning-based approach. Forensic Science International: Digital Investigation, 56(supplement), Article 302047. https://doi.org/10.1016/j.fsidi.2026.302047
  • Open Access
    Efthymiou, A., Rudinac, S., Kackovic, M., Wijnberg, N., & Worring, M. (2026). VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings. In WWW '26: Proceedings of the ACM Web Conference 2026 : April 13-17, 2026, Dubai, United Arab Emirates (pp. 7552-7563). Association for Computing Machinery. https://doi.org/10.1145/3774904.3792677
  • Open Access
    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
  • Open Access
    Efthymiou, A. (2026). Multimodal representation learning for fine art analysis. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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, https://doi.org/10.1177/01708406251397720
  • Open Access
    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
  • Open Access
    Khan, O. S., Sharma, U., Marcelino, G., Duane, A., Rudinac, S., Worring, M., & Jónsson, B. Þ. (2025). Interactive Retrieval System for Multi-Stream Collections: MultiXview at CASTLE 2025 Interactive Grand Challenge. In MM '25: Proceedings of the 33rd ACM International Conference on Multimedia : October 27-31, 2025, Dublin Ireland (pp. 14273-14279). Association for Computing Machinery. https://doi.org/10.1145/3746027.3760243
  • Open Access
    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
  • Open Access
    Shen, J., Wang, Q., Xiao, Z., Van Noord, N., & Worring, M. (2025). GO4Align: Group Optimization for Multi-Task Alignment. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), 38th Conference on Neural Information Processing Systems (NeurIPS 2024): 10-15 December 2024, Vancouver, Canada (pp. 111382-111405). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-3537
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