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. Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference

    Kim, J., Manolios, S., Demetriou, A. & Liem, C., 2019, ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY: Association for Computing Machinery (ACM), p. 285-293 9 p.

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

  4. 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

  5. 2018
  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 2017
  12. 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

  13. 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

  14. Capturing the Meaning of Complex Texts about Music

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

    Research output: Contribution to conferenceAbstractScientific

  15. Creative Artefacts and Digital Technology: Enriching Urban Societies through Interactive Experiences

    Liem, C. C. S. & Quitmeyer, A., 2017, Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition, C&C '17. New York, NY: Association for Computing Machinery (ACM), p. 561-563 3 p.

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

  16. DUT-MMSR at MediaEval 2017: Predicting Media Interestingness Task

    Reza Aditya Permadi, R., Septian Gilang Permana Putra, S., Helmiriawan, H. & Liem, C., 2017, Working Notes Proceedings of the MediaEval 2017 Workshop. Gravier, G., Bischke, B., Demarty, C-H., Zaharieva, M., Riegler, M., Dellandrea, E., Bogdanov, D., Sutcliffe, R., Jones, G. J. F. & Larson, M. (eds.). p. 1-3 3 p. (CEUR Workshop Proceedings; vol. 1984).

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

  17. Human-Explainable Features for Job Candidate Screening Prediction

    Achmadnoer Sukma Wicaksana, S. & Liem, C. C. S., 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017. IEEE Computer Society, Vol. 2017-July. p. 1664-1669 6 p. 8014946

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

  18. Multimedia Technologies for Enriched Music Performance, Production, and Consumption

    Liem, C. C. S., Gómez, E. & Tzanetakis, G., 2017, In : IEEE Multimedia. 24, 1, p. 20-23 4 p., 7849096.

    Research output: Contribution to journalReview articleScientificpeer-review

  19. On the Automatic Identification of Music for Common Activities

    Yadati, K., Liem, C. C. S., Larson, M. & Hanjalic, A., 2017, Proceedings of the 2017 ACM International Conference on Multimedia Retrieval. New York: Association for Computing Machinery (ACM), p. 192-200 9 p.

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

  20. Sequences of Diverse Song Recommendations: An exploratory study in a commercial system

    Tintarev, N., Lofi, C. & Liem, C. C. S., 2017, p. 391-392. 2 p.

    Research output: Contribution to conferenceAbstractScientific

  21. 2016
  22. Crowdsourcing audience perspectives on classical music

    Liem, C. CS., 26 Sep 2016, 2016 IEEE International Conference on Multimedia Expo Workshops (ICMEW). Piscataway, NJ: IEEE, p. 1-6 6 p.

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

  23. From Water Music to ‘Underwater Music': Multimedia Soundtrack Retrieval with Social Mass Media Resources

    Liem, C. CS., 10 Aug 2016, Research and Advanced Technology for Digital Libraries: 20th International Conference on Theory and Practice of Digital Libraries (TPDL). Fuhr, N., Kovács, L., Risse, T. & Nejdl, W. (eds.). Springer, p. 227-238 12 p. (Lecture Notes in Computer Science; vol. 9819).

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

  24. Go With the Flow: When Listeners use Music as Technology

    Demetriou, A., Larson, M. & Liem, C. C. S., Aug 2016, Proceedings of the 17th International Society for Music Information Retrieval Conference: ISMIR 2016. International Society for Music Information Retrieval (ISMIR), p. 292-298 7 p.

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

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