{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:22:30Z","timestamp":1763202150566,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":5,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3184558.3192310","type":"proceedings-article","created":{"date-parts":[[2018,4,18]],"date-time":"2018-04-18T18:04:25Z","timestamp":1524074665000},"page":"1921-1922","source":"Crossref","is-referenced-by-count":11,"title":["Learning to Recognize Musical Genre from Audio"],"prefix":"10.1145","author":[{"given":"Micha\u00ebl","family":"Defferrard","sequence":"first","affiliation":[{"name":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"}]},{"given":"Sharada P.","family":"Mohanty","sequence":"additional","affiliation":[{"name":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"}]},{"given":"Sean F.","family":"Carroll","sequence":"additional","affiliation":[{"name":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"}]},{"given":"Marcel","family":"Salath\u00e9","sequence":"additional","affiliation":[{"name":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"}]}],"member":"320","reference":[{"unstructured":"Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, and Xavier Bresson. 2017. FMA: A Dataset for Music Analysis. In ISMIR.","key":"key-10.1145\/3184558.3192310-1"},{"doi-asserted-by":"crossref","unstructured":"Jaehun Kim, Minz Won, Xavier Serra, and Cynthia C. S. Liem. 2018. Transfer Learning of Artist Group Factors to Musical Genre Classification WWW.","key":"key-10.1145\/3184558.3192310-2","DOI":"10.1145\/3184558.3191823"},{"unstructured":"C McKay and I Fujinaga. 2006. Musical genre classification: Is it worth pursuing and how can it be improved ISMIR.","key":"key-10.1145\/3184558.3192310-3"},{"doi-asserted-by":"crossref","unstructured":"Benjamin Murauer and Günther Specht. 2018. Detecting Music Genre Using Extreme Gradient Boosting WWW.","key":"key-10.1145\/3184558.3192310-4","DOI":"10.1145\/3184558.3191822"},{"doi-asserted-by":"crossref","unstructured":"N Scaringella, G Zoia, and D Mlynek. 2006. Automatic genre classification of music content: a survey. IEEE Signal Processing Magazine (2006).","key":"key-10.1145\/3184558.3192310-5","DOI":"10.1109\/MSP.2006.1598089"}],"event":{"number":"2018","sponsor":["IW3C2, International World Wide Web Conference Committee","SIGWEB, ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"acronym":"WWW '18","name":"Companion of the The Web Conference 2018","start":{"date-parts":[[2018,4,23]]},"location":"Lyon, France","end":{"date-parts":[[2018,4,27]]}},"container-title":["Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3184558.3192310","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3192310&ftid=1958400&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:11:25Z","timestamp":1750212685000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3184558.3192310"}},"subtitle":["Challenge Overview"],"proceedings-subject":"The Web Conference 2018","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":5,"URL":"https:\/\/doi.org\/10.1145\/3184558.3192310","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}