{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T22:31:09Z","timestamp":1776119469440,"version":"3.50.1"},"reference-count":92,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tvcg.2022.3209379","type":"journal-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T19:54:10Z","timestamp":1664394850000},"page":"1-11","source":"Crossref","is-referenced-by-count":5,"title":["Visualizing Ensemble Predictions of Music Mood"],"prefix":"10.1109","author":[{"given":"Zelin","family":"Ye","sequence":"first","affiliation":[{"name":"University of Oxford, Oxford, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5320-5729","authenticated-orcid":false,"given":"Min","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Oxford, Oxford, United Kingdom"}]}],"member":"263","reference":[{"key":"ref73","first-page":"395","article-title":"Ground truth for automatic music mood classification","author":"skowronek","year":"2006","journal-title":"Proceedings of the ISMIR"},{"key":"ref72","doi-asserted-by":"crossref","first-page":"2669","DOI":"10.1109\/TVCG.2012.253","article-title":"Rankexplorer: Visualization of ranking changes in large time series data","volume":"18","author":"shi","year":"2012","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007649029923"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.181"},{"key":"ref76","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780195068276.001.0001","author":"thayer","year":"1990","journal-title":"The Biopsychology of Mood and Arousal"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.4018\/jdwm.2007070101"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2004.1326828"},{"key":"ref39","first-page":"109","article-title":"Spiral theme plot","author":"jiang","year":"0","journal-title":"Proceedings of EuroVis (Short Papers)"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598829"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.162"},{"key":"ref78","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1007\/978-0-387-09823-4_34","article-title":"Mining multi-label data","author":"tsoumakas","year":"2009","journal-title":"Data Mining and Knowledge Discovery Handbook"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.164"},{"key":"ref33","first-page":"2","article-title":"Lyric text mining in music mood classification","volume":"183","author":"hu","year":"2009","journal-title":"American Music"},{"key":"ref32","first-page":"619","article-title":"When lyrics outperform audio for music mood classification: A feature analysis","author":"hu","year":"2010","journal-title":"Proceedings of the ISMIR"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/asi.23649"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.2307\/1416385"},{"key":"ref37","article-title":"Comparative visual analysis of transport variability in flow ensembles","author":"jarema","year":"2016","journal-title":"J World Soc Comput Graph"},{"key":"ref36","first-page":"27","article-title":"Evaluation of gated recurrent neural networks in music classification tasks","author":"jakubik","year":"2017","journal-title":"Proceedings of the International Conference on Information Systems Architecture and Technology"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1991.3.1.79"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2013.141"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/MCAS.2006.1688199"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/1291233.1291245"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2009.55"},{"key":"ref63","author":"quinlan","year":"2014","journal-title":"C4 5 Programs for Machine Learning"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/2945.981848"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598838"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/INFVIS.2000.885098"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5256-5"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-009-9124-7"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.2307\/1416710"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1037\/h0077714"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864838"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1249"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02478-8_21"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-85729-079-3_7"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899X\/782\/2\/022013"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2001.1237863"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598868"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IV.2012.53"},{"key":"ref25","author":"harris","year":"1999","journal-title":"Information Graphics A Comprehensive Illustrated Reference"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2005.860344"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.03.004"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1145\/3408127.3408137"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwy108"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67832-6_34"},{"key":"ref59","first-page":"82940b","article-title":"Exploring ensemble visualization","volume":"8294","author":"phadke","year":"2012","journal-title":"Proceedings of the Visualization and Data Analysis"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2820691"},{"key":"ref57","first-page":"383","article-title":"Musical texture and expressivity features for music emotion recognition","author":"panda","year":"0","journal-title":"Proceedings of the 19th International Society for Music Information Retrieval Conference"},{"key":"ref56","first-page":"384","article-title":"Feature selection for ensembles","volume":"379","author":"opitz","year":"0","journal-title":"The AAAI Conference on Artificial Intelligence"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1613\/jair.614"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2015.01.003"},{"key":"ref53","first-page":"321","article-title":"Experiments with mood classification in blog posts","volume":"19","author":"mishne","year":"2005","journal-title":"Proceedings of ACM SIGIR Workshop on Stylistic Analysis of Text for Information Access"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2005.1416349"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2008.166"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2015.2410278"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-4714"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13677"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2015.2513410"},{"key":"ref14","first-page":"1","article-title":"Xgboost: extreme gradient boosting","volume":"1","author":"chen","year":"2015","journal-title":"R package version 0 4-2"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2756406.2756936"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-33521-8_30"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0017011"},{"key":"ref81","doi-asserted-by":"crossref","first-page":"2713","DOI":"10.1109\/TVCG.2013.143","article-title":"Contour boxplots: A method for characterizing uncertainty in feature sets from simulation ensembles","volume":"19","author":"whitaker","year":"2013","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.06.126"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13998"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45014-9_1"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80023-1"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5334\/tismir.12"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2853721"},{"key":"ref89","first-page":"iv","article-title":"Audio segmentation based on multi-scale audio classification","volume":"4","author":"zhang","year":"2004","journal-title":"Proceedings of IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-9019-7"},{"key":"ref3","article-title":"Classification of musical genre: a machine learning approach","author":"basili","year":"0","journal-title":"Proceedings of the ISMIR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2004.03.009"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.150"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2004.840939"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1201\/9781315139470"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2963659"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref49","first-page":"57","article-title":"Cultural style based music classification of audio signals","author":"liu","year":"2009","journal-title":"Proceedings of IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.162"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18576\/amis\/110617"},{"key":"ref46","first-page":"2","article-title":"Audio music mood classification using support vector machine","author":"laurier","year":"2007","journal-title":"MIREX task Audio Mood Classif"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2008.96"},{"key":"ref48","article-title":"Parallel convolutional neural networks for music genre and mood classification","author":"lidy","year":"2016","journal-title":"Mirex"},{"key":"ref47","first-page":"18","article-title":"Classification and regression by randomforest","volume":"2","author":"liaw","year":"2002","journal-title":"R News"},{"key":"ref42","article-title":"Large-scale midi-based composer classification","author":"kong","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref41","first-page":"292","article-title":"Music mood classification model based on arousal-valence values","author":"kim","year":"2011","journal-title":"Proceedings of the 13th International Conference on Advanced Communication Technology"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00638-y"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2745178"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/4359476\/09905423.pdf?arnumber=9905423","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T23:19:49Z","timestamp":1701127189000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9905423\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":92,"URL":"https:\/\/doi.org\/10.1109\/tvcg.2022.3209379","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}