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a comparison of human and automatic music genre classification

, , , , , and . Acoustics, Speech, and Signal Processing, 2004, (2004)

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a comparison of human and automatic music genre classification, , , , , and . Acoustics, Speech, and Signal Processing, 2004, (2004)Quantifying Reciprocity in Large Weighted Communication Networks, , and . Advances in Knowledge Discovery and Data Mining, volume 7302 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, Berlin, Heidelberg, (2012)Bot Detection: Will Focusing on Recall Cause Overall Performance Deterioration?, , , , , and . SBP-BRiMS, volume 11549 of Lecture Notes in Computer Science, page 39-49. Springer, (2019)An analytic approach to better understanding and management of coronary surgeries., , and . Decis. Support Syst., 52 (3): 698-705 (2012)Access to ethnic music: Advances and perspectives in content-based music information retrieval., , , and . Signal Process., 90 (4): 1008-1031 (2010)Problems and Opportunities of Applying Data- & Audio-Mining Techniques to Ethnic Music., , , , , , , and . ISMIR, page 334-336. (2006)Interacting with the Music Paint Machine: Relating the constructs of flow experience and presence., , , , , and . Interact. Comput., 24 (4): 237-250 (2012)Music Retrieval by Rhythmic Similarity Applied on Greek and African Traditional Music., , , , , and . ISMIR, page 297-300. Austrian Computer Society, (2007)A Domain-Agnostic Approach to Spam-URL Detection via Redirects., , and . PAKDD (2), volume 10235 of Lecture Notes in Computer Science, page 220-232. (2017)How potential users of music search and retrieval systems describe the semantic quality of music., , , , , and . J. Assoc. Inf. Sci. Technol., 59 (5): 695-707 (2008)