{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T07:01:40Z","timestamp":1729666900012,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,8]]},"DOI":"10.1109\/iri.2013.6642490","type":"proceedings-article","created":{"date-parts":[[2013,10,30]],"date-time":"2013-10-30T20:13:22Z","timestamp":1383164002000},"page":"333-340","source":"Crossref","is-referenced-by-count":18,"title":["Towards a minimum description length based stopping criterion for semi-supervised time series classification"],"prefix":"10.1109","author":[{"given":"Nurjahan","family":"Begum","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thanawin","family":"Rakthanmanon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eamonn","family":"Keogh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"SemisupervisedSelf-training of Object Detection Models","year":"2005","author":"rosenberg","key":"19"},{"journal-title":"Making Time-seriesClassification More Accurate Using Learned Constraints","year":"2004","author":"ratanamahatana","key":"17"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-70560-4_1"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972801.59"},{"journal-title":"TimeSeries Epenthesis Clustering Time Series Streams RequiresIgnoring Some Data","year":"2011","author":"rakthanmanon","key":"16"},{"key":"13","article-title":"Positive unlabeledlearning for time series classification","author":"nguyen","year":"2011","journal-title":"Proc Of AAAI"},{"journal-title":"Ensemble BasedPositive Unlabeled Learning for Time Series Classification","year":"2012","author":"nguyen","key":"14"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2606-0"},{"key":"12","article-title":"Co-training forPredicting Emotions with Spoken Dialogue Data","author":"maeireizo","year":"2004","journal-title":"Proceedings of ACL"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-012-0250-5"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1006\/cbmr.1997.1446"},{"journal-title":"Semi-Supervised Time SeriesClassification","year":"2006","author":"wei","key":"22"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.3115\/981658.981684"},{"journal-title":"Semi-supervised Learning LiteratureSurvey","year":"2005","author":"zhu","key":"24"},{"year":"0","key":"25"},{"journal-title":"Medical Image Categorization with MedIC AndMedGIFT","year":"2006","author":"florea","key":"3"},{"journal-title":"Semi-Supervised Classification with HybridGenerative\/Discriminative Methods","year":"2007","author":"druck","key":"2"},{"journal-title":"The UCR Time Series Classification\/Clustering","year":"0","author":"keogh","key":"10"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"journal-title":"The Development and Analysis of AVentricular Fibrillation Detector","year":"1986","author":"greenwald","key":"7"},{"key":"6","article-title":"ImprovedDetection and classification of arrhythmias in noisecorruptedelectrocardiograms using contextual information","author":"greenwald","year":"1990","journal-title":"Proc IEEE Conf Comput Cardiol"},{"key":"5","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"Physiobank, physiotoolkit, andphysionet: Components of a new research resource forcomplex physiologic signals","volume":"101","author":"goldberger","year":"2000","journal-title":"Circulation"},{"key":"4","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1007\/3-540-44794-6_10","article-title":"Pattern extraction for time series classification","author":"geurts","year":"2001","journal-title":"Proceedings of the 5th European Conference on Principles OfData Mining and Knowledge Discovery"},{"journal-title":"Discovering the Intrinsic Cardinality AndDimensionality of Time Series Using MDL","year":"2011","author":"hu","key":"9"},{"journal-title":"A Tutorial Introduction to the MinimumDescription Length Principle","year":"2005","author":"grudie nwald","key":"8"}],"event":{"name":"2013 IEEE 14th International Conference on Information Reuse & Integration (IRI)","start":{"date-parts":[[2013,8,14]]},"location":"San Francisco, CA, USA","end":{"date-parts":[[2013,8,16]]}},"container-title":["2013 IEEE 14th International Conference on Information Reuse &amp; Integration (IRI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6621630\/6642428\/06642490.pdf?arnumber=6642490","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,21]],"date-time":"2017-06-21T21:07:44Z","timestamp":1498079264000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6642490\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,8]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/iri.2013.6642490","relation":{},"subject":[],"published":{"date-parts":[[2013,8]]}}}