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Results: 370
Number of items: 370
  • Open Access
    Sergidou, E. K., Ypma, R., Rohdin, J., Worring, M., Geradts, Z., & Bosma, W. (2024). Fusing linguistic and acoustic information for automated forensic speaker comparison. Science & justice, 64(5), 485-497. https://doi.org/10.1016/j.scijus.2024.07.001
  • Open Access
    Shen, J. (2024). Mitigating bias in multi-task learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Soleimani Bajestani, A. (2024). Advances in information verification using natural language processing. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Sharma, U., Rudinac, S., Demmers, J., van Dolen, W., & Worring, M. (2024). From pixels to perceptions: Capturing high-level abstract concepts in visual user-generated content. International Journal of Information Management Data Insights, 4(2), Article 100269. https://doi.org/10.1016/j.jjimei.2024.100269
  • Open Access
    Ibrahimi, S. (2024). Learning from real-world data challenges for similarity search. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Groenen, I., Rudinac, S., & Worring, M. (2024). PanorAMS: Automatic Annotation for Detecting Objects in Urban Context. IEEE Transactions on Multimedia, 26, 1281-1294. https://doi.org/10.1109/TMM.2023.3279696
  • 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
    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
  • 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
  • Open Access
    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
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