{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:12:11Z","timestamp":1730200331179,"version":"3.28.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"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":[],"published-print":{"date-parts":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9377999","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T17:10:21Z","timestamp":1616173821000},"page":"4769-4778","source":"Crossref","is-referenced-by-count":0,"title":["On Convolutional Autoencoders to Speed Up Similarity-Based Time Series Mining"],"prefix":"10.1109","author":[{"given":"Yuri Gabriel","family":"Aragao da Silva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego","family":"Furtado Silva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"UCI machine learning repository","year":"2017","author":"dua","key":"ref33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911747"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-015-0418-x"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-5558-2_1"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-013-0312-3"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1119"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2557642.2563677"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347153"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1978.1163055"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-004-0154-9"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0179"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15280-1_23"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-1165-9_65"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-2007-11508"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3033752"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339576"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974348.94"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.106973"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2500489"},{"key":"ref27","article-title":"Clustering time series data through autoencoder-based deep learning models","author":"tavakoli","year":"2020","journal-title":"arXiv preprint arXiv 2004 06774"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-012-0250-5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-020-00685-w"},{"key":"ref29","article-title":"Swish: a self-gated activation function","volume":"7","author":"ramachandran","year":"2017","journal-title":"arXiv preprint arXiv 1710 05941"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-018-0557-y"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2005.01.025"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/BRACIS.2013.22"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2708080"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0361-2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2017.7996801"},{"key":"ref20","first-page":"117","article-title":"Sparsedtw: a novel approach to speed up dynamic time warping","author":"al-naymat","year":"2009","journal-title":"Australasian Data Mining Conference"},{"article-title":"The fastest similarity search algorithm for time series subsequences under euclidean distance","year":"2017","author":"mueen","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00668-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00185"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/PL00011669"},{"key":"ref26","first-page":"10 568","article-title":"Autowarp: learning a warping distance from unlabeled time series using sequence autoencoders","author":"abid","year":"2018","journal-title":"International Conference on Neural Information Processing Systems"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.08.104"}],"event":{"name":"2020 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2020,12,10]]},"location":"Atlanta, GA, USA","end":{"date-parts":[[2020,12,13]]}},"container-title":["2020 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9377717\/9377728\/09377999.pdf?arnumber=9377999","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T11:58:13Z","timestamp":1656331093000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9377999\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9377999","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}