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Results: 78
Number of items: 78
  • 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
  • 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
    Rudinac, S., Chua, T.-S., Diaz-Ferreyra, N., Friedland, G., Gornostaja, T., Huet, B., Kaptein, R., Lindén, K., Moens, M.-F., Peltonen, J., Redi, M., Schedl, M., Shamma, D. A., Smeaton, A., & Xie, L. (2018). Rethinking Summarization and Storytelling for Modern Social Multimedia. In K. Schoeffmann, T. H. Chalidabhongse, C. W. Ngo, S. Aramvith, N. E. O'Connor, Y.-S. Ho, M. Gabbouj, & A. Elgmamal (Eds.), MultiMedia Modeling: 24th International Conference, MMM 2018 : Bangkok, Thailand, February 5–7, 2018 : Proceedings (Vol. 1, pp. 632-644). (Lecture Notes in Computer Science; Vol. 10704). Springer. https://doi.org/10.1007/978-3-319-73603-7_51
  • Open Access
    Zahálka, J. (2017). The machine in multimedia analytics. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Rudinac, S., Zahálka, J., & Worring, M. (2017). Discovering Geographic Regions in the City Using Social Multimedia and Open Data. In L. Amsaleg, G. Þ. Guðmundsson, C. Gurrin, B. Þ. Jónsson, & S. Satoh (Eds.), MultiMedia Modeling: 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017 : proceedings (Vol. 2, pp. 148-159). (Lecture Notes in Computer Science; Vol. 10133). Springer. https://doi.org/10.1007/978-3-319-51814-5_13
  • Open Access
    Rudinac, S., Gornishka, I., & Worring, M. (2017). Multimodal Classification of Violent Online Political Extremism Content with Graph Convolutional Networks. In Thematic Workshops '17: proceedings of the Thematic Workshops of ACM Multimedia 2017 : October 23-27, 2017, Moutain View, CA, USA (pp. 245-252). Association for Computing Machinery. https://doi.org/10.1145/3126686.3126776
  • Open Access
    Boonzajer Flaes, J., Rudinac, S., & Worring, M. (2016). What Multimedia Sentiment Analysis Says About City Liveability. In N. Ferro, F. Crestani, M.-F. Moens, J. Mothe, F. Silvestri, G. M. Di Nunzio, C. Hauff, & G. Silvello (Eds.), Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016 : proceedings (pp. 824-829). (Lecture Notes in Computer Science; Vol. 9626). Springer. https://doi.org/10.1007/978-3-319-30671-1_74
  • Open Access
    Jónsson, B. Þ., Worring, M., Zahálka, J., Rudinac, S., & Amsaleg, L. (2016). Ten Research Questions for Scalable Multimedia Analytics. In Q. Tian, N. Sebe, G.-J. Qi, B. Huet, R. Hong, & X. Liu (Eds.), MultiMedia Modeling: 22nd International Conference, MMM 2016: Miami, FL, USA, January 4-6, 2016: proceedings (Vol. 2, pp. 290-302). (Lecture Notes in Computer Science; Vol. 9517). Springer. https://doi.org/10.1007/978-3-319-27674-8_26
  • Open Access
    Mazloom, M., Rietveld, R., Rudinac, S., Worring, M., & van Dolen, W. (2016). Multimodal Popularity Prediction of Brand-related Social Media Posts. In MM'16: Proceedings of the 2016 ACM on Multimedia Conference : October 15-19, 2016, Amsterdam, The Netherlands (pp. 197-201). Association for Computing Machinery. https://doi.org/10.1145/2964284.2967210
  • Open Access
    van den Berg, J., Rudinac, S., & Worring, M. (2016). Scenemash: Multimodal Route Summarization for City Exploration. In N. Ferro, F. Crestani, M.-F. Moens, J. Mothe, F. Silvestri, G. M. Di Nunzio, C. Hauff, & G. Silvello (Eds.), Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016 : proceedings (pp. 833-836). (Lecture Notes in Computer Science; Vol. 9626). Springer. https://doi.org/10.1007/978-3-319-30671-1_75
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