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Data Science for the Detection of Emerging Music Styles

  • De Bie, Tijl E P (Principal Investigator)

    Project Details

    StatusFinished
    Effective start/end date1/11/141/11/16

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    Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
    • SICA: subjectively interesting component analysis

      Kang, B., Lijffijt, J., Santos-Rodríguez, R. & de Bie, T., 8 Mar 2018, (E-pub ahead of print) In: Data Mining and Knowledge Discovery. 39 p.

      Research output: Contribution to journalArticle (Academic Journal)peer-review

      Open Access
      File
      4 Citations (Scopus)
      378 Downloads (Pure)
    • Hierarchical Novelty Detection

      Simeone, P., Santos-Rodríguez, R., McVicar, M., Lijffijt, J. & De Bie, T., 4 Oct 2017, Advances in Intelligent Data Analysis XVI: 16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings. Springer Verlag, p. 310-321 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10584 LNCS).

      Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

      Open Access
      File
      5 Citations (Scopus)
      330 Downloads (Pure)
    • Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations

      Kang, B., Lijffijt, J., Santos-Rodriguez, R. & De Bie, T., 13 Aug 2016, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16. New York, NY, USA: Association for Computing Machinery, Vol. August 2016. p. 1615-1624 10 p.

      Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

      Open Access
      File
      13 Citations (Scopus)
      534 Downloads (Pure)