1. Article › Scientific › Peer-reviewed
  2. 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

  3. 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

  4. 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

  5. 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

  6. On detecting the playing/non-playing activity of musicians in symphonic music videos

    Bazzica, A., Liem, CCS. & Hanjalic, A., 2016, In : Computer Vision and Image Understanding. 144, p. 188-204 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 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

  8. When music makes a scene - Characterizing music in multimedia contexts via user scene descriptions

    Liem, CCS., Larson, MA. & Hanjalic, A., 2013, In : International Journal of Multimedia Information Retrieval. 2, 1, p. 15-30 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Chapter › Scientific › Not peer-reviewed
  10. 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

  11. Conference contribution › Scientific › Not peer-reviewed
  12. Exploring Microblog Activity for the Prediction of Hyperlink Anchors in Television Broadcasts

    Vliegendhart, R., Liem, CCS. & Larson, MA., 2015, Proceedings of the MediaEval 2015 Workshop. Larson, M., Ionescu, B., Sjoberg, M., Anguera, X., Poignant, J., Riegler, M., Eskevich, M., Hauff, C., Sutcliffe, R., Jones, GJF., Yang, YH., Soleymani, M. & Papadopoulos, S. (eds.). Aachen: CEUR-WS, p. 1-3 3 p. (Ceur Workshop Proceedings; vol. 1436).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

  13. Conference contribution › Scientific › Peer-reviewed
  14. 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

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