1. 2019
  2. Audiovisual Analysis of Music Performances: Overview of an Emerging Field

    Duan, Z., Essid, S., Liem, C. C. S. & Richard, G., 2019, In : IEEE Signal Processing Magazine. 36, 1, p. 63-73 11 p., 8588405.

    Research output: Contribution to journalArticleScientificpeer-review

  3. One deep music representation to rule them all? A comparative analysis of different representation learning strategies

    Kim, J., Urbano, J., Liem, C. C. S. & Hanjalic, A., 2019, In : Neural Computing and Applications. p. 1-27 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. 2018
  5. Detecting Socially Significant Music Events using Temporally Noisy Labels

    Yadati, K., Larson, M., Liem, C. C. S. & Hanjalic, A., 2018, In : IEEE Transactions on Multimedia. 20, 9, p. 2526-2540 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Music in newspapers: Interdisciplinary opportunities and data-related challenges

    Liem, C. C. S., 2018, DLfM '18 Proceedings of the 5th International Conference on Digital Libraries for Musicology . New York: Association for Computing Machinery (ACM), p. 47-51 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  7. Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening

    Liem, C. C. S., Langer, M., Demetriou, A., Hiemstra, A. M. F., Achmadnoer Sukma Wicaksana, S., Born, M. P. & König, C. J., 2018, Explainable and Interpretable Models in Computer Vision and Machine Learning. Jair Escalante, H., Escalera, S., Guyon, I., Baró, X. & Güçlütürk, Y. (eds.). Cham: Springer, p. 197-253 57 p. (The Springer Series on Challenges in Machine Learning).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

  8. Towards Seed-Free Music Playlist Generation: Enhancing collaborative Filtering with Playlist Title Information

    Kim, J., Won, M., Liem, C. C. S. & Hanjalic, A., 2018, RecSys Challenge '18 : Proceedings of the ACM Recommender Systems Challenge 2018 . New York: Association for Computing Machinery (ACM), p. 1-6 6 p. a14

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  9. Transfer Learning of Artist Group Factors to Musical Genre Classification

    Kim, J., Won, M., Serra, X. & Liem, C. C. S., 2018, WWW'18 Companion Proceedings of the The Web Conference 2018. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee, p. 1929-1934 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  10. 2017
  11. Exploiting scene maps and spatial relationships in quasi-static scenes for video face clustering

    Bazzica, A., Liem, C. C. S. & Hanjalic, A., 1 Jan 2017, In : Image and Vision Computing. 57, p. 25-43 19 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. A Formalization of Relative Local Tempo Variations in Collections of Performances

    Peperkamp, J., Hildebrandt, K. & Liem, C., 2017, Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017. International Society for Music Information Retrieval (ISMIR), p. 158-164 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  13. Capturing the Meaning of Complex Texts about Music

    Sutcliffe, R. & Liem, C., 2017, p. 1-2. 2 p.

    Research output: Contribution to conferenceAbstractScientific

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