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Results: 28
Number of items: 28
  • Open Access
    van Nieuwenhuijsen, A. N., Burgoyne, J. A., Wiering, F., & Sneekes, M. (2020). A simple method for user-driven music thumbnailing. In J. Cuming, J. H. Lee, B. McFee, M. Schedl, J. Devaney, C. McKay, E. Zangerle, & T. de Reuse (Eds.), Proceedings of the 21st International Society for Music Information Retrieval Conference: ISMIR MTL2020, Montréal, Québec, Canada, Virtual Conference, 11 to 16 October 2020 (pp. 223-230). ISMIR. https://doi.org/10.5281/zenodo.4245410
  • Open Access
    Cornelissen, B., Zuidema, W., & Burgoyne, J. A. (2020). Studying large plainchant corpora using chant21. In Proceedings of DLfM 2020: the 7th International Conference on Digital Libraries for Musicology : 16th October 2020, McGill University, Montréal, QC, Canada (pp. 40-44). (ACM international conference proceedings series). The Association for Computing Machinery. https://doi.org/10.1145/3424911.3425514
  • Open Access
    Koops, H. V., de Haas, W. B., Burgoyne, J. A., Bransen, J., Kent-Muller, A., & Volk, A. (2019). Annotator subjectivity in harmony annotations of popular music. Journal of New Music Research, 48(3), 232-252. https://doi.org/10.1080/09298215.2019.1613436
  • Open Access
    Bouwer, F. L., Burgoyne, J. A., Odijk, D., Honing, H., & Grahn, J. A. (2018). What makes a rhythm complex? The influence of musical training and accent type on beat perception. PLoS ONE, 13(1), Article e0190322. https://doi.org/10.1371/journal.pone.0190322
  • Open Access
    Janssen, B., Burgoyne, J. A., & Honing, H. (2017). Predicting Variation of Folk Songs: A Corpus Analysis Study on the Memorability of Melodies. Frontiers in Psychology, 8, Article 621. https://doi.org/10.3389/fpsyg.2017.00621
  • Burgoyne, J. A., Fujinaga, I., & Downie, J. S. (2016). Music Information Retrieval. In S. Schreibman, R. Siemens, & J. Unsworth (Eds.), A new companion to digital humanities (pp. 213-228). Wiley Blackwell. https://doi.org/10.1002/9781118680605.ch15
  • Open Access
    Van Balen, J., Burgoyne, J. A., Bountouridis, D., Müllensiefen, D., & Veltkamp, R. C. (2015). Corpus Analysis Tools for Computational Hook Discovery. In M. Müller, & F. Wiering (Eds.), ISMIR 2015: Proceedings of the 16th International Society for Music Information Retrieval Conference : October 26-30, 2015, Málaga, Spain (pp. 227-233). ISMIR. https://doi.org/10.5281/zenodo.1415038
  • Open Access
    Burgoyne, J. A., Hofman, A., van der Maas, H., & Honing, H. (2015). Adaptive music recognition games for dementia therapy. In J. Ginsborg, A. Lamont, & S. Bramley (Eds.), Escom Manchester 2015: Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music : Royal Northern College of Music, 17-22- August 2015 : programme and abstracts (pp. 264-265). ESCOM. https://www.escom.org/proceedings/ESCOM9_Manchester_2015_Abstracts_Proceedings.pdf
  • Open Access
    Honingh, A. K., Burgoyne, J. A., van Kranenburg, P., & Volk, A. (2014). Strengthening Interdisciplinarity in MIR: Four Examples of Using MIR Tools for Musicology. (Institute for Logic, Language, and Computation; No. PP-2014-18). University of Amsterdam. http://www.illc.uva.nl/Research/Publications/Reports/PP-2014-18.text.pdf
  • Open Access
    Aljanaki, A., Bountouridis, D., Burgoyne, J. A., Van Balen, J., Wiering, F., Honing, H., & Veltkamp, R. (2014). Designing Games with a Purpose for Data Collection in Music Research. Emotify and Hooked: Two Case Studies. In A. De Gloria (Ed.), Games and Learning Alliance: Second International Conference, GALA 2013, Paris, France, October 23-25, 2013 : revised selected papers (pp. 29-40). (Lecture Notes in Computer Science; Vol. 8605). Springer. https://doi.org/10.1007/978-3-319-12157-4_3
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