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Capturing the workflows of music information retrieval for repeatability and reuse.

, , , , and . J. Intell. Inf. Syst., 41 (3): 435-459 (2013)

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Everyday Life Music Information-Seeking Behaviour of Young Adults., and . ISMIR, page 381-382. (2006)Ten Years of ISMIR: Reflections on Challenges and Opportunities., , and . ISMIR, page 13-18. International Society for Music Information Retrieval, (2009)Evaluating a Machine Learning Approach to Identifying Expressive Content at Page Level in HathiTrust., , , , and . DH, (2020)Dynamic visualization of music classification systems., , , and . SIGIR, page 888. ACM, (2008)Searching musical audio datasets by a batch of multi-variant tracks., , , , and . Multimedia Information Retrieval, page 121-127. ACM, (2008)Writers of the Lost Paper: A Case Study on Barriers to (Re-) Finding Publications., , , and . ICADL, volume 10647 of Lecture Notes in Computer Science, page 212-224. Springer, (2017)Toward the Scientific Evaluation of Music Information Retrieval Systems. (2003)Improving mood classification in music digital libraries by combining lyrics and audio., and . JCDL, page 159-168. ACM, (2010)Introduction to the 2018 Joint Conference on Digital Libraries Doctoral Consortium Issue., , and . Bull. IEEE Tech. Comm. Digit. Libr., (2019)How Significant is Statistically Significant? The case of Audio Music Similarity and Retrieval., , , and . ISMIR, page 181-186. FEUP Edições, (2012)