1. 2020
  2. Radial Graph Convolutional Network for Visual Question Generation

    Xu, X., Wang, T., Yang, Y., Hanjalic, A. & Shen, H. T., 2020, (Accepted/In press) In : IEEE Transactions on Neural Networks and Learning Systems. 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Suppressing Information Diffusion via Link Blocking in Temporal Networks

    Zhan, X., Hanjalic, A. & Wang, H., 2020, Complex Networks and Their Applications VIII : Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019. Cherifi, H., Gaito, S., Mendes, J. F., Moro, E. & Rocha, L. M. (eds.). Cham: Springer, Vol. 1. p. 448-458 11 p. (Studies in Computational Intelligence; vol. 881 ).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  4. Unified Binary Generative Adversarial Network for Image Retrieval and Compression

    Song, J., He, T., Gao, L., Xu, X., Hanjalic, A. & Shen, H. T., 2020, In : International Journal of Computer Vision. 22 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. 2019
  6. Matching images and text with multi-modal tensor fusion and re-ranking

    Wang, T., Hanjalic, A., Xu, X., Shen, H. T., Yang, Y. & Song, J., 15 Oct 2019, MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia. Association for Computing Machinery (ACM), p. 12-20 9 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  7. The influence of personal values on music taste: Towards value-based music recommendations

    Manolios, S., Hanjalic, A. & Liem, C. C. S., 10 Sep 2019, RecSys'19: Proceedings of the 13th ACM Conference on Recommender Systems . New York: Association for Computing Machinery (ACM), p. 501-505 5 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  8. From intra-modal to inter-modal space: Multi-task learning of shared representations for cross-modal retrieval

    Choi, J., Larson, M., Friedland, G. & Hanjalic, A., 1 Sep 2019, Proceedings - 2019 IEEE 5th International Conference on Multimedia Big Data, BigMM 2019. Institute of Electrical and Electronics Engineers (IEEE), p. 1-10 10 p. 8919383

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  9. A New Perspective on Score Standardization

    Urbano, J., De Lima, H. & Hanjalic, A., 2019, SIGIR'19 Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval . New York, USA: ACM DL, p. 1061-1064 4 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  10. Are Nearby Neighbors Relatives? Testing Deep Music Embeddings

    Kim, J., Urbano, J., Liem, C. C. S. & Hanjalic, A., 2019, In : Frontiers in Applied Mathematics an Statistics. 5, p. 1-17 17 p., 53.

    Research output: Contribution to journalArticleScientificpeer-review

  11. Data masking for recommender systems: Prediction performance and rating hiding

    Slokom, M., Larson, M. & Hanjalic, A., 2019, ACM RecSys LBR 2019 ACM RecSys 2019 Late-breaking Results: Proceedings of ACM RecSys 2019 Late-breaking Results co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019). Tkalcic, M. & Pera, S. (eds.). CEUR-WS.org, p. 21-25 5 p. (CEUR Workshop Proceedings; vol. 2431).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  12. Information diffusion backbones in temporal networks

    Zhan, X., Hanjalic, A. & Wang, H., 2019, In : Scientific Reports. 9, 1, p. 1-12 12 p., 6798.

    Research output: Contribution to journalArticleScientificpeer-review

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