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Results: 363
Number of items: 363
  • 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
    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
  • 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 Rodríguez, A. (2024). Face comparison in forensics: A deep dive into deep learning and likelihood rations. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
  • 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
  • Macarulla Rodriguez, A., Geradts, Z., Worring, M., & Unzueta, L. (2023). Improved Likelihood Ratios for Surveillance Video Face Recognition with Multimodal Feature Pairing. In 2023 11th International Workshop on Biometrics and Forensics (IWBF 2023): Barcelona, Spain : 19-20 April 2023 (pp. 92-97). IEEE. https://doi.org/10.1109/IWBF57495.2023.10157791
  • van Sonsbeek, T., & Worring, M. (2023). X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation. In A. Frangi, M. de Bruijne, D. Wassermann, & N. Navab (Eds.), Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023 : proceedings (pp. 471-482). (Lecture Notes in Computer Science; Vol. 13939). Springer. https://doi.org/10.1007/978-3-031-34048-2_36
  • Open Access
    de Leeuw den Bouter, M., Lloret Pardo, J., Geradts, Z., & Worring, M. (2023). ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2309.11155
  • Open Access
    van Sonsbeek, T., Zhen, X., Mahapatra, D., & Worring, M. (2023). Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. In Proceedings, 2023 IEEE Winter Conference on Applications of Computer Vision: 3-7 January 2023, Waikoloa, Hawaii (pp. 3619-3629). (WACV; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/WACV56688.2023.00362
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