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(2013) Does MIR Need to be More Catchy?.Abstract | UvA-DAREBurgoyne, J.A., Honing, H. (2024) Rasch models for quantifying the strength of musical memory and the feeling of knowing.Burgoyne, J.A., Koops, H.V. (2021) We are Not Groupies. . . We are Band Aids’: Assessment Reliability in the AI Song Contest.Transactions of the International Society of Music Information Retrieval, Vol. 4 (pp 236–247)Article | https://doi.org/10.5334/tismir.102 | UvA-DAREBurgoyne, J.A., Spijkervet, J., Baker, D.J. (2023) Measuring the Eurovision Song Contest: A Living Dataset for Real-World MIR.In Sarti, A. Antonacci, F. Sandler, M. Bestagini, P. Dixon, S. Liang, B. Richard, G. Pauwels, J. (Eds.), Proceedings of the 24th International Society for Music Information Retrieval Conference: Milan, Italy, November 5-9, 2023 (pp 817-823). ISMIR.Conference contribution | https://doi.org/10.5281/zenodo.10265415 | UvA-DAREThe data of this list is taken from the Pure database. 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