{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T18:21:08Z","timestamp":1783707668741,"version":"3.55.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"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":[[2019,6]]},"DOI":"10.1109\/icphm.2019.8819385","type":"proceedings-article","created":{"date-parts":[[2019,8,30]],"date-time":"2019-08-30T01:14:40Z","timestamp":1567127680000},"page":"1-5","source":"Crossref","is-referenced-by-count":24,"title":["A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection"],"prefix":"10.1109","author":[{"given":"Baihong","family":"Jin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kameshwar","family":"Poolla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Sangiovanni-Vincentelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","author":"price","year":"2006","journal-title":"Differential Evolution A Practical Approach to Global Optimization"},{"key":"ref11","first-page":"525","article-title":"Boa: The bayesian optimization algorithm","author":"pelikan","year":"1999","journal-title":"Proceedings of the 1st Annual Conference on Genetic and Evolutionary Computation-Volume 1"},{"key":"ref12","first-page":"2951","article-title":"Practical bayesian optimization of machine learning algorithms","author":"snoek","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1126\/science.220.4598.671"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711422"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2017.7998311"},{"key":"ref16","article-title":"WTTE-RNN : Weibull Time To Event Recurrent Neural Network","author":"martinsson","year":"2016","journal-title":"Master&#x2019;s thesis"},{"key":"ref4","article-title":"Time series segmentation through automatic feature learning","author":"lee","year":"2018"},{"key":"ref3","article-title":"Review and analysis of algorithmic approaches developed for prognostics on CMAPSS dataset","author":"ramasso","year":"2014","journal-title":"Annual Conference of the Prognostics and Health Management Society 2014"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2689746.2689747"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0166868"},{"key":"ref7","article-title":"C-MAPSS data set","author":"saxena","year":"2008","journal-title":"NASA Ames Prognostics Data Repository"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2019.8819438"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cta.2009.0033"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008202821328"}],"event":{"name":"2019 IEEE International Conference on Prognostics and Health Management (ICPHM)","location":"San Francisco, CA, USA","start":{"date-parts":[[2019,6,17]]},"end":{"date-parts":[[2019,6,20]]}},"container-title":["2019 IEEE International Conference on Prognostics and Health Management (ICPHM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8809669\/8819370\/08819385.pdf?arnumber=8819385","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:55:21Z","timestamp":1658094921000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8819385\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/icphm.2019.8819385","relation":{},"subject":[],"published":{"date-parts":[[2019,6]]}}}