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interdisciplinarity, blending machine learning, computational creativity, and musicology. It bridges AI methods—like generative models—with musical structure, theory, and cultural contexts, emphasizing data-efficient
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, F. Pirri, A Comprehensive Analysis of Human Motion Capture Data for Action Recognition, International Conference on Computer Vision Theory and Applications,, Italy, 2012, http://dx.doi.org/10.5220
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