{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:22:41Z","timestamp":1740100961761,"version":"3.37.3"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72071211"],"award-info":[{"award-number":["72071211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892079","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Points2Shapelets: A Salience-Guided Shapelets Selection Approach to Time Series Classification"],"prefix":"10.1109","author":[{"given":"Guanxi","family":"Feng","sequence":"first","affiliation":[{"name":"Wuhan University,Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Wuhan University Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linjiang","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Wuhan University Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Libing","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Wuhan University Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingsheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"The Pennsylvania State University,Eberly College of Science,University Park,PA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaochuan","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Wuhan University Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/KST.2016.7440530"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00516"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9534419"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.4018\/IJWSR.2017040104"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2015.199"},{"key":"ref11","volume":"2","author":"furtuna","year":"2008","journal-title":"Dynamic programming algorithms in speech recognition Revista Informatica Economica nr"},{"key":"ref12","first-page":"359","article-title":"Using dynamic time warping to find patterns in time series","author":"berndt","year":"0","journal-title":"Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining"},{"key":"ref13","first-page":"947","author":"ye","year":"0","journal-title":"Time series shapelets a new primitive for data mining in Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining"},{"key":"ref14","first-page":"289","article-title":"Proceedings of the 18th ACM SIGKDD international conference on Know ledge discovery and data mining","author":"lines","year":"0","journal-title":"A shapelet transform for time series classification"},{"key":"ref15","first-page":"392","article-title":"Proceedings of the 20th ACM SIGKDD international conference on Know ledge discovery and data mining","author":"grabocka","year":"0","journal-title":"Learning time-series shaoelets"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972832.74"},{"key":"ref17","first-page":"107","volume":"15","author":"lin","year":"2007","journal-title":"Experiencing sax a novel symbolic representation of time series Data Mining and know ledge discovery"},{"key":"ref18","first-page":"263","volume":"3","author":"keogh","year":"2001","journal-title":"Dimensionality reduction for fast similarity search in large time series databases Knowledge and Information Systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref28","article-title":"Striving for simplicity: The all convolutional net","author":"springenberg","year":"0","journal-title":"ArXiv Preprint"},{"key":"ref4","first-page":"611","volume":"22","author":"guillod","year":"2018","journal-title":"A large set of potential past present and future hydro-meteorological time series for the uk Hydrology and Earth System Sciences"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref3","first-page":"87","volume":"27","author":"rousseau","year":"2005","journal-title":"Finance investment and growth Time series evidence from 10 asian economies Journal of macroeco-nomics"},{"key":"ref6","first-page":"917","volume":"33","author":"fawaz","year":"2019","journal-title":"Deep learning for time series classification a review Data mining and knowledge discovery"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477688"},{"key":"ref5","first-page":"1097","volume":"25","author":"krizhevsky","year":"2012","journal-title":"ImageNet Classification with Deep Convolutional Neural Networks Advances in Neural Information Processing Systems"},{"key":"ref8","first-page":"131","author":"chang","year":"0","journal-title":"Efficient pattern-based time series classification on gpu in 2012 IEEE 12th International Conference on Data Mining"},{"key":"ref7","first-page":"149","volume":"22","author":"ye","year":"2011","journal-title":"Time series shapelets a novel technique that allows ac-curate interpretable and fast classification Data mining and knowledge discovery"},{"key":"ref2","first-page":"158","volume":"16","author":"kam","year":"2010","journal-title":"Prediction of daily patient numbers for a regional emergency medical center using time series analysis Healthcare informatics research"},{"key":"ref9","first-page":"921","volume":"14","author":"shimodaira","year":"2001","journal-title":"Dynamic time-alignment kernel in support vector machine Advances in neural infor-mation processing systems"},{"key":"ref1","first-page":"489","volume":"34","author":"nakatani","year":"2014","journal-title":"Time-series product and substance flow analyses of end-of-life electrical and electronic equipment in china Waste Management"},{"key":"ref20","article-title":"Lstm-based encoder-decoder for multi-sensor anomaly detection","author":"malhotra","year":"0","journal-title":"ArXiv Preprint"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MSN48538.2019.00082"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9534001"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28954-6"},{"key":"ref23","volume":"20","author":"ma","year":"2020","journal-title":"Edge 4tsc Binary distribution tree-enabled time series classification in edge environment Sensors"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892079.pdf?arnumber=9892079","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T23:01:06Z","timestamp":1667516466000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892079\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892079","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}