1. 2019
  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. 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. On the Performance of Convolutional Neural Networks for Side-Channel Analysis

    Picek, S., Samiotis, I. P., Kim, J., Heuser, A., Bhasin, S. & Legay, A., 2018, Security, Privacy, and Applied Cryptography Engineering: 8th International Conference, SPACE 2018, Kanpur, India, December 15-19, 2018, Proceedings. Chattopadhyay, A., Rebeiro, C. & Yarom, Y. (eds.). Cham: Springer, p. 157-176 20 p. (Lecture Notes in Computer Science; vol. 11348).

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

  7. 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

  8. 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

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