Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 368
Number of items: 368
  • Open Access
    Khan, O. S., Jónsson, B. Þ., Rudinac, S., Zahálka, J., Ragnarsdóttir, H., Þorleiksdóttir, Þ., Guðmundsson, G. Þ., Amsaleg, L., & Worring, M. (2020). Interactive Learning for Multimedia at Large. In J. M. Jose, E. Yilmaz, J. Magalhães, P. Castells, N. Ferro, M. J. Silva, & F. Martins (Eds.), Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020 : proceedings (Vol. I, pp. 495-510). (Lecture Notes in Computer Science; Vol. 12035). Springer. https://doi.org/10.1007/978-3-030-45439-5_33
  • Open Access
    Sukel, M., Rudinac, S., & Worring, M. (2020). Detecting Urban Issues With the Object Detection Kit. In MM '20: proceedings of the 28th ACM International Conference on Multimedia : October 12-16, 2020, Virtual Event, USA (pp. 4518–4520). Association for Computing Machinery. https://doi.org/10.1145/3394171.3414427
  • Open Access
    Khan, O. S., Larsen, M. D., Poulsen, L. A. S., Jónsson, B. Þ., Zahálka, J., Rudinac, S., Koelma, D., & Worring, M. (2020). Exquisitor at the Lifelog Search Challenge 2020. In LSC '20: proceedings of the Third Annual Workshop on the Lifelog Search Challenge : June 08-10, 2020, Dublin, Ireland (pp. 19-22). The Association for Computing Machinery. https://doi.org/10.1145/3379172.3391718
  • Open Access
    Sukel, M., Rudinac, S., & Worring, M. (2020). Urban Object Detection Kit: A System for Collection and Analysis of Street-Level Imagery. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 509-516). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390708
  • Open Access
    Arya, D., Olij, R., Gupta, D. K., El Gazzar, A., van Wingen, G., Worring, M., & Thomas, R. M. (2020). Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. Proceedings of Machine Learning Research, 121, 44-61. http://proceedings.mlr.press/v121/arya20a.html
  • Strezoski, G., Shome, A., Bianchi, R., Rao, S., & Worring, M. (2019). ACE: Art, Color and Emotion. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 1053-1055). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350588
  • Strezoski, G., van Noord, N., & Worring, M. (2019). Learning Task Relatedness in Multi-Task Learning for Images in Context. In ICMR '19: proceedings of the 2019 ACM International Conference on Multimedia Retrieval : June 10-13, 2019, Ottawa, ON, Canada (pp. 78-86). The Association for Computing Machinery. https://doi.org/10.1145/3323873.3325009
  • Brown, A., Mettes, P., & Worring, M. (2019). 4-Connected Shift Residual Networks. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 1990-1997). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00248
  • Strezoski, G., van Noord, N., & Worring, M. (2019). Many Task Learning with Task Routing. In Proceedings, 2019 International Conference on Computer Vision: 27 October-2 November 2019, Seoul, Korea (pp. 1375-1384). (ICCV). IEEE Computer Society. https://doi.org/10.1109/ICCV.2019.00146
  • Open Access
    Migut, M. A. (2019). Integration of machine learning and interactive visualizations for cognition friendly decision making. [Thesis, fully internal, Universiteit van Amsterdam].
Page 10 of 37