1. 2019
  2. 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 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery (ACM), p. 501-505 5 p.

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

  3. 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

  4. 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

  5. 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

  6. 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

  7. Spotivibes: Tagging playlist vibes with colors

    Abderrazik, H., Angela, G., Brouwer, H., Janse, H., Lutz, S., Smitskamp, G., Manolios, S. & Liem, C. C. S., 2019, In : CEUR Workshop Proceedings. 2450, p. 55-59 5 p.

    Research output: Contribution to journalConference articleScientificpeer-review

  8. Towards creating a non-synthetic group recommendation dataset

    Rijlaarsdam, M., Scholten, S. & Liem, C. C. S., 2019, In : CEUR Workshop Proceedings. 2462

    Research output: Contribution to journalConference articleScientificpeer-review

  9. 2018
  10. 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

  11. 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

  12. Novelty-based cognitive processes in unstructured music-making settings in early childhood

    Charisi, V., Liem, C. C. S. & Gómez, E., 2018, 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) . IEEE, p. 218-223 6 p. 8761027

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

  13. 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

  14. 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

  15. 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

  16. 2017
  17. 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

  18. 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

  19. Capturing the Meaning of Complex Texts about Music

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

    Research output: Contribution to conferenceAbstractScientific

  20. 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

  21. 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

  22. 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

  23. 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

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