Search results
Results: 368
Number of items: 368
-
van Sonsbeek, T., Zhen, X., & Worring, M. (2024). Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports. In Y. Xue, C. Chen, L. Zuo, & Y. Liu (Eds.), Data Augmentation, Labelling, and Imperfections: Third MICCAI Workshop, DALI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023 : proceedings (pp. 84–94). (Lecture Notes in Computer Science; Vol. 14379). Springer. https://doi.org/10.1007/978-3-031-58171-7_9 -
Sharma, U., Rudinac, S., Demmers, J., van Dolen, W., & Worring, M. (2024). GreenScreen: A Multimodal Dataset for Detecting Corporate Greenwashing in the Wild. 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. V, pp. 96-109). (Lecture Notes in Computer Science; Vol. 14565). Springer. https://doi.org/10.1007/978-3-031-56435-2_8 -
Sukel, M., Rudinac, S., & Worring, M. (2024). Multimodal Temporal Fusion Transformers are Good Product Demand Forecasters. IEEE Multimedia, 31(2), 48-60. https://doi.org/10.1109/MMUL.2024.3373827 -
Ibrahimi, S., Ghadimi Atigh, M., van Noord, N., Mettes, P., & Worring, M. (2024). Intriguing Properties of Hyperbolic Embeddings in Vision-Language Models. Transactions on Machine Learning Research, 2024, Article 2113. https://openreview.net/forum?id=P5D2gfi4Gg -
Macarulla Rodriguez, A., Geradts, Z., Worring, M., & Unzueta, L. (2024). Improved likelihood ratios for face recognition in surveillance video by multimodal feature pairing. Forensic Science International: Synergy, 8, Article 100458. https://doi.org/10.1016/j.fsisyn.2024.100458 -
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
Page 4 of 37