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Learning Features from Music Audio with Deep Belief Networks., and . ISMIR, page 339-344. International Society for Music Information Retrieval, (2010)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , and 103 other author(s). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio., , , and . ISMIR, page 729-734. University of Miami, (2011)Workshop summary: Sparse methods for music audio., , and . ICML, volume 382 of ACM International Conference Proceeding Series, page 11. ACM, (2009)Transfer Learning In Mir: Sharing Learned Latent Representations For Music Audio Classification And Similarity., , , and . ISMIR, page 9-14. (2013)AutoMashUpper: An Automatic Multi-Song Mashup System., , , and . ISMIR, page 575-580. (2013)Automatic Identification of Instrument Classes in Polyphonic and Poly-Instrument Audio., , and . ISMIR, page 399-404. International Society for Music Information Retrieval, (2009)Building Musically-relevant Audio Features through Multiple Timescale Representations., , and . ISMIR, page 553-558. FEUP Edições, (2012)3D-CNN for Facial Emotion Recognition in Videos., , and . ISVC (2), volume 12510 of Lecture Notes in Computer Science, page 298-309. Springer, (2020)The Option Keyboard: Combining Skills in Reinforcement Learning., , , , , , , , , and 1 other author(s). NeurIPS, page 13031-13041. (2019)