{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T17:15:23Z","timestamp":1770225323709,"version":"3.49.0"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"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":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671952","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:39:16Z","timestamp":1642106356000},"page":"5266-5274","source":"Crossref","is-referenced-by-count":1,"title":["Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data"],"prefix":"10.1109","author":[{"given":"Thomas","family":"Schlegl","sequence":"first","affiliation":[]},{"given":"Stefan","family":"Schlegl","sequence":"additional","affiliation":[]},{"given":"Amelie","family":"Sciberras","sequence":"additional","affiliation":[]},{"given":"Nikolai","family":"West","sequence":"additional","affiliation":[]},{"given":"Jochen","family":"Deuse","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","article-title":"The matrix profile foundation","author":"bischoff","year":"2020"},{"key":"ref32","article-title":"Greedy shapelet search","author":"schlegl","year":"2021"},{"key":"ref31","author":"christianini","year":"2013","journal-title":"An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009715923555"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1145\/1015330.1015352","article-title":"Margin based feature selection - theory and algorithms","author":"gilad-bachrach","year":"2004","journal-title":"Twenty-first international conference on Machine learning  - ICML '04"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/ICDM.2012.143","article-title":"Feature weighting and selection using hypothesis margin of boosting","author":"alshawabkeh","year":"2012","journal-title":"2012 IEEE 12th International Conference on Data Mining"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-013-0322-1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.engstruct.2020.111564"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2008.03.015"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557122"},{"key":"ref14","article-title":"One-class learning time-series shapelets","volume":"1","author":"yamaguchi","year":"2019","journal-title":"INTERNATIONAL JOURNAL OF DATA MINING SCIENCE"},{"key":"ref15","first-page":"392","article-title":"Learning time-series shapelets","author":"grabocka","year":"2017","journal-title":"ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"},{"key":"ref16","first-page":"2322","article-title":"Unsupervised feature learning from time series","author":"zhang","year":"2016","journal-title":"25th International Joint Conference on Artificial Intelligence (IJCAI-16)"},{"key":"ref17","first-page":"1209","article-title":"Efficient learning of timeseries shapelets","author":"hou","year":"2016","journal-title":"AAAI Conference on Artificial Intelligence"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0179-5"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-019-01535-z"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.11.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.11.043"},{"key":"ref3","article-title":"Summit: Scaling deep learning interpretability byvisualizing activation and attribution summarizations","author":"hohman","year":"2017","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0048-x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87479-9_34"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-2002-6504"},{"key":"ref8","article-title":"Challenges in the deployment and operation of machine learning in practice","author":"baier","year":"2019","journal-title":"Proceedings of the 27th European Conference on Information Systems (ECIS)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2020.106368"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2012.09.004"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2009.36"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2788611"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994660"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0179"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-015-0905-9"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972832.74"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020587"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.4018\/IJWSR.2017040104"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2015.7344782"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","location":"Orlando, FL, USA","start":{"date-parts":[[2021,12,15]]},"end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671952.pdf?arnumber=9671952","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:31Z","timestamp":1652201731000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671952\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671952","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}