Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 364
Number of items: 364
  • Open Access
    van Noord, N., Wevers, M., Blanke, T., Noordegraaf, J., & Worring, M. (2022). An Analytics of Culture: Modeling Subjectivity, Scalability, Contextuality, and Temporality. Paper presented at Cultures in AI/AI in Culture. https://doi.org/10.48550/arXiv.2211.07460
  • 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
    Macarulla Rodriguez, A., Geradts, Z., & Worring, M. (2022). Calibration of score based likelihood ratio estimation in automated forensic facial image comparison. Forensic Science International, 334, Article 111239. https://doi.org/10.1016/j.forsciint.2022.111239
  • Open Access
    Najdenkoska, I., Zhen, X., Worring, M., & Shao, L. (2022). Uncertainty-aware report generation for chest X-rays by variational topic inference. Medical Image Analysis, 82, Article 102603. https://doi.org/10.1016/j.media.2022.102603
  • Open Access
    Arya, D. (2022). Multimodal deep learning on hypergraphs. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bartels, M. G. C., Najdenkoska, I., van de Leur, R. R., Sammani, A., Taha, K., Knigge, D. M., Doevendans, P. A., Worring, M., & van Es, R. (2022). Learning to Automatically Generate Accurate ECG Captions. Proceedings of Machine Learning Research, 172, 86-102. https://proceedings.mlr.press/v172/bartels22a.html
  • Open Access
    Strezoski, G. (2022). Information sharing methods for multi-task learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Derakhshani, M. M., Najdenkoska, I., van Sonsbeek, T., Zhen, X., Mahapatra, D., Worring, M., & Snoek, C. G. M. (2022). LifeLonger: A Benchmark for Continual Disease Classification. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022 : proceedings (Vol. II, pp. 314–324). (Lecture Notes in Computer Science; Vol. 13432). Springer. https://doi.org/10.48550/arXiv.2204.05737, https://doi.org/10.1007/978-3-031-16434-7_31
  • Open Access
    Shao, L., Shen, J., Worring, M., & Zhen, X. (2022). Variational Multi-Task Learning with Gumbel-Softmax Priors. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6-14 December 2021 (Vol. 25, pp. 21031-21042). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2021/hash/afd4836712c5e77550897e25711e1d96-Abstract.html
  • Huang, J.-H., Wu, T.-W., Yang, C.-HH., & Worring, M. (2021). Deep context-encoding network for retinal image captioning. In 2021 IEEE International Conference on Image Processing: proceedings : 19-22 September 2021, Anchorage, Alaska, USA (pp. 3762-3766). (ICIP). IEEE. https://doi.org/10.1109/ICIP42928.2021.9506803
Page 6 of 37