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Results: 363
Number of items: 363
  • Open Access
    Ragnarsdóttir, H., Þorleiksdottir, Þ., Khan, O. S., Jónsson, B. Þ., Guðmundsson, G. Þ., Zahálka, J., Rudinac, S., Amsaleg, L., & Worring, M. (2019). Exquisitor: Breaking the Interaction Barrier for Exploration of 100 Million Images. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 1029-1031). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350580
  • Open Access
    Arya, D., Rudinac, S., & Worring, M. (2019). HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 2245-2253). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350572
  • Arya, D., & Worring, M. (2018). Exploiting Relational Information in Social Networks using Geometric Deep Learning on Hypergraphs. In ICMR'18: proceedings of the 2018 ACM International Conference on Multimedia Retrieval : June 11-14, 2018, Yokohama, Japan (pp. 117-125). The Association for Computing Machinery. https://doi.org/10.1145/3206025.3206062
  • Strezoski, G., & Worring, M. (2018). OmniArt: A Large-scale Artistic Benchmark. ACM Transactions on Multimedia Computing Communications and Applications, 14(4), Article 88. https://doi.org/10.1145/3273022
  • Open Access
    Zahálka, J., Rudinac, S., Jónsson, B. Þ., Koelma, D. C., & Worring, M. (2018). Blackthorn: Large-Scale Interactive Multimodal Learning. IEEE Transactions on Multimedia, 20(3), 687-698. https://doi.org/10.1109/TMM.2017.2755986
  • Open Access
    Strezoski, G., Groenen, I., Besenbruch, J., & Worring, M. (2018). ArtSight: An Artistic Data Exploration Engine. In MM'18: proceedings of the 2018 ACM Multimedia Conference : October 22-26, 2018, Seoul, Republic of Korea (pp. 1240-1241). Association for Computing Machinery. https://doi.org/10.1145/3240508.3241389
  • Open Access
    Mazloom, M., Pappi, I., & Worring, M. (2018). Category Specific Post Popularity Prediction. In K. Schoeffmann, T. H. Chalidabhongse, C. W. Ngo, S. Aramvith, N. E. O'Connor, Y.-S. Ho, M. Gabbouj, & A. Elgammal (Eds.), MultiMedia Modeling: 24th International Conference, MMM 2018, Bangkok, Thailand, February 5-7, 2018, Proceedings (Vol. 1, pp. 594-607). (Lecture Notes in Computer Science; Vol. 10704). Springer. https://doi.org/10.1007/978-3-319-73603-7_48
  • Overgoor, G., Mazloom, M., Worring, M., Rietveld, R., & van Dolen, W. (2017). A Spatio-Temporal Category Representation for Brand Popularity Prediction. In ICMR '17: proceedings of the 2017 ACM International Conference on Multimedia Retrieval : June 6-9, 2017, Bucharest, Romania (pp. 233-241). The Association for Computing Machinery. https://doi.org/10.1145/3078971.3078998
  • Mazloom, M., Hendriks, B., & Worring, M. (2017). Multimodal Context-Aware Recommender for Post Popularity Prediction in Social Media. In Thematic Workshops '17: proceedings of the Thematic Workshops of ACM Multimedia 2017 : October 23-27, 2017, Moutain View, CA, USA (pp. 236-244). Association for Computing Machinery. https://doi.org/10.1145/3126686.3126731
  • Open Access
    Zahálka, J. (2017). The machine in multimedia analytics. [Thesis, fully internal, Universiteit van Amsterdam].
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