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Modelling Expressive Performance: a Regression Tree Approach Based on Strongly Typed Genetic Programming

, , , , and . Applications of Evolutionary Computing, EvoWorkshops2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, volume 3907 of LNCS, page 676--687. Budapest, Springer Verlag, (10-12 April 2006)
DOI: doi:10.1007/11732242_64

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Modelling Expressive Performance: A Regression Tree Approach Based on Strongly Typed Genetic Programming., , , , and . EvoWorkshops, volume 3907 of Lecture Notes in Computer Science, page 676-687. Springer, (2006)Multiple fundamental frequency estimation using Gaussian smoothness., and . ICASSP, page 105-108. IEEE, (2008)End-to-End Optical Music Recognition Using Neural Networks., , and . ISMIR, page 472-477. (2017)Recognition of Note Onsets in Digital Music Using Semitone Bands., , and . CIARP, volume 3773 of Lecture Notes in Computer Science, page 869-879. Springer, (2005)An Evaluation of Symbolic Feature Sets and Their Combination for Music Genre Classification., , , and . SMC, page 1901-1905. IEEE, (2013)Multi-label Logo Classification Using Convolutional Neural Networks., , and . IbPRIA (1), volume 11867 of Lecture Notes in Computer Science, page 485-497. Springer, (2019)Data representations for audio-to-score monophonic music transcription., , and . Expert Syst. Appl., (2020)Pattern Recognition Algorithms for Polyphonic Music Transcription., and . PRIS, page 80-89. INSTICC Press, (2004)A multimodal music transcription prototype: first steps in an interactive prototype development., , , and . ICMI, page 315-318. ACM, (2011)Recognition of Handwritten Music Symbols with Convolutional Neural Codes., , and . ICDAR, page 691-696. IEEE, (2017)