1. Unsupervised content discovery in compose audio

    Cai, R., Lu, L. & Hanjalic, A., 2005, Proceedings of the ACM Multinedia Workshops. s.n. (ed.). New York: Association for Computing Machinery (ACM), p. 628-637 10 p.

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

  2. Unsupervised Anchor Space Generation for Similarity Measurement of General Audio

    Lu, L. & Hanjalic, A., 2008, Proceedings of 2008 IEEE International Conference on Aucoustics, Speech and Signal Processing. S.N. (ed.). USA: IEEE Society, p. 4033-4036 4 p.

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

  3. Unifying user-based and item-based collaborative filtering approaches by similarity fusion

    Wang, J., de Vries, AP. & Reinders, MJT., 2006, Proceedings of the twenty-ninth annual international ACM SIGIR conference on research and development in information retrieval. Dumais, S., Efthimiadis, EN., Hawking, D. & Järvelin, K. (eds.). New York, USA: Association for Computing Machinery (ACM), p. 501-508 8 p.

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

  4. Unifying rating-oriented and ranking-oriented collaborative filtering for improved recommendation

    Shi, Y., Larson, MA. & Hanjalic, A., 2013, In : Information Sciences. 229, April, p. 29-39 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Unified relevance models for rating prediction in coolborative filtering

    Wang, J., de Vries, AP. & Reinders, MJT., 2008, In : ACM Transactions on Information Systems. 26, 3, p. 16:1-16:41

    Research output: Contribution to journalArticleScientificpeer-review

  6. Understanding the Crowd: Ethical and Practical Matters in the Academic Use of Crowdsourcing

    Siahaan, E., Martin, D., Carpendale, S., Gupta, N., Hoßfeld, T., Naderi, B., Redi, J., Siahaan, E. & Wechsung, I., 2017, Evaluation in the Crowd.: Crowdsourcing and Human-Centered Experiments. Archambault, D., Purchase, H. & Hoßfeld, T. (eds.). Cham: Springer, p. 27-69 43 p. (Lecture Notes in Computer Science; vol. 10264).

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

  7. Understanding regulation of metabolism through feasibility analysis

    Nikerel, IE., Berkhout, J., Hu, F., Teusink, B., Reinders, MJT. & de Ridder, D., 2012, In : PLoS ONE. 7, 7, p. 1-15 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Understanding Geo-spatial Information on Social Media

    Li, W., 23 May 2016, SIKS. 182 p.

    Research output: ThesisDissertation (TU Delft)

  9. Uncovering seams in distributed play of tabletop role-playing games

    Webb, A. M. & Cesar, P., 17 Oct 2019, CHI PLAY 2019 - Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play. Association for Computing Machinery (ACM), p. 773-780 8 p.

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

  10. Unbiased MMSE-based noise power estimation with low complexity and low tracking delay

    Gerkmann, T. & Hendriks, RC., 2012, In : IEEE Transactions on Audio, Speech and Language Processing. 20, 4, p. 1383-1393 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

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