{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T20:59:39Z","timestamp":1778878779160,"version":"3.51.4"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61502174"],"award-info":[{"award-number":["61502174"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872148"],"award-info":[{"award-number":["61872148"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2017A030313355"],"award-info":[{"award-number":["2017A030313355"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2019A1515010768"],"award-info":[{"award-number":["2019A1515010768"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010256","name":"Guangzhou Science and Technology Planning Project","doi-asserted-by":"publisher","award":["201704030051"],"award-info":[{"award-number":["201704030051"]}],"id":[{"id":"10.13039\/501100010256","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010256","name":"Guangzhou Science and Technology Planning Project","doi-asserted-by":"publisher","award":["201902010020"],"award-info":[{"award-number":["201902010020"]}],"id":[{"id":"10.13039\/501100010256","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Guangdong Province","award":["2018B010107002"],"award-info":[{"award-number":["2018B010107002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3002095","type":"journal-article","created":{"date-parts":[[2020,6,12]],"date-time":"2020-06-12T20:42:27Z","timestamp":1591994547000},"page":"109732-109746","source":"Crossref","is-referenced-by-count":42,"title":["Dynamic Multi-Scale Convolutional Neural Network for Time Series Classification"],"prefix":"10.1109","volume":"8","author":[{"given":"Bin","family":"Qian","sequence":"first","affiliation":[]},{"given":"Yong","family":"Xiao","sequence":"additional","affiliation":[]},{"given":"Zhenjing","family":"Zheng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8469-5361","authenticated-orcid":false,"given":"Mi","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Wanqing","family":"Zhuang","sequence":"additional","affiliation":[]},{"given":"Sen","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9356-2883","authenticated-orcid":false,"given":"Qianli","family":"Ma","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.23919\/MIPRO.2017.7973441"},{"key":"ref31","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"dem\u0161ar","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.02.011"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2008.4761719"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.02.030"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.72"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-020-1661-4"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0361-2"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-013-0322-1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2416723"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref18","article-title":"Multi-scale convolutional neural networks for time series classification","author":"cui","year":"2016","journal-title":"arXiv 1603 06995"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.05.008"},{"key":"ref28","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.10.015"},{"key":"ref27","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"hinton","year":"2012","journal-title":"arXiv 1207 0580"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.02.010"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-012-0251-4"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-016-0483-9"},{"key":"ref5","first-page":"359","article-title":"Using dynamic time warping to find patterns in time series","author":"berndt","year":"1994","journal-title":"Proc KDD Workshop"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623613"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0377-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2017.05.010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-015-0425-y"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2014.2360101"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref22","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"collobert","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/621"},{"key":"ref24","article-title":"Variable computation in recurrent neural networks","author":"jernite","year":"2016","journal-title":"arXiv 1611 06188"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref26","author":"chen","year":"2015","journal-title":"The UCR time series classification archive"},{"key":"ref25","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09115645.pdf?arnumber=9115645","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:57:24Z","timestamp":1642003044000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9115645\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3002095","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}