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Results: 78
Number of items: 78
  • 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
  • Open Access
    Li, J., Osseyran, A., Hekster, R., Rudinac, S., Codreanu, V., & Podareanu, D. (2024). Improving the speed and quality of cancer segmentation using lower resolution pathology images. Multimedia Tools and Applications, 83(4), 11999-12015. https://doi.org/10.1007/s11042-023-15984-9
  • Open Access
    Sukel, M. M. (2024). Machine learning with geo, temporal, textual, and visual data for real world applications. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    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
  • 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
  • Dang-Nguyen, D.-T. (Ed.), Gurrin, C. (Ed.), Larson, M., Smeaton, A. F., Rudinac, S. (Ed.), Dao, M.-S. (Ed.), Trattner, C. (Ed.), & Chen, P. (Ed.) (2023). MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023 : proceedings. (Lecture Notes in Computer Science; Vol. 13834). Springer. https://doi.org/10.1007/978-3-031-27818-1
  • Sukel, M., Rudinac, S., & Worring, M. (2023). GIGO, Garbage In, Garbage Out: An Urban Garbage Classification Dataset. In D.-T. Dang-Nguyen, C. Gurrin, M. Larson, A. F. Smeaton, S. Rudinac, M.-S. Dao, C. Trattner, & P. Chen (Eds.), MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023 : proceedings (Vol. I, pp. 527-538). (Lecture Notes in Computer Science; Vol. 13833). Springer. https://doi.org/10.1007/978-3-031-27077-2_41
  • Open Access
    Khan, O. S., Sharma, U., Jónsson, B. Þ., Koelma, D. C., Rudinac, S., Worring, M., & Zahálka, J. (2022). Exquisitor at the Video Browser Showdown 2022. In B. Þ. Jónsson, C. Gurrin, M.-T. Tran, D.-T. Dang-Nguyen, AM.-C. Hu, B. Huynh Thi Thanh, & B. Huet (Eds.), MultiMedia Modeling: 28th International Conference, MMM 2022, Phu Quoc, Vietnam, June 6–10, 2022 : proceedings (Vol. II, pp. 511-517). (Lecture Notes in Computer Science; Vol. 13142). Springer. https://doi.org/10.1007/978-3-030-98355-0_47
  • Open Access
    Glistrup, M., Rudinac, S., & Jónsson, B. Þ. (2022). Urban Image Geo-Localization Using Open Data on Public Spaces. In Proceedings of 19th International Conference on Content-based Multimedia Indexing: September 14-16, 2022, Graz, Austria (pp. 50-56). ACM. https://doi.org/10.1145/3549555.3549589
  • Open Access
    Bright, J., Marchal, N., Ganesh, B., & Rudinac, S. (2022). How Do Individuals in a Radical Echo Chamber React to Opposing Views? Evidence from a Content Analysis of Stormfront. Human Communication Research, 48(1), 116-146. https://doi.org/10.1093/hcr/hqab020
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