{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,11]],"date-time":"2025-04-11T04:16:26Z","timestamp":1744344986686,"version":"3.40.4"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"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":[[2021,10,25]]},"DOI":"10.1109\/mlsp52302.2021.9596359","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T22:53:58Z","timestamp":1637016838000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["A Copula-Driven Unsupervised Learning Framework for Anomaly Detection with Multivariate Heterogeneous Data"],"prefix":"10.1109","author":[{"given":"Swaroop","family":"Damodaran","sequence":"first","affiliation":[{"name":"PES University,Department of Electronics and Communication Engineering,Bengaluru,India,560085"}]},{"given":"Ram","family":"Padmanabhan","sequence":"additional","affiliation":[{"name":"PES University,Department of Electronics and Communication Engineering,Bengaluru,India,560085"}]},{"given":"R.","family":"Maahin","sequence":"additional","affiliation":[{"name":"PES University,Department of Electronics and Communication Engineering,Bengaluru,India,560085"}]},{"given":"Sanjeev","family":"Gurugopinath","sequence":"additional","affiliation":[{"name":"PES University,Department of Electronics and Communication Engineering,Bengaluru,India,560085"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835813"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-017-2989-5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462490"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2009.4959978"},{"journal-title":"An Introduction to Copulas","year":"2006","author":"nelsen","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1111\/acfi.12274"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1524\/strm.2013.2002"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2685345"},{"key":"ref18","first-page":"1","article-title":"Fusion of deep neural networks for activity recognition: A regular vine copula based approach","author":"zhang","year":"2019","journal-title":"Proc 22nd International Conference on Information Fusion (FUSION)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/0470863072"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1007\/978-3-319-59050-9_12","article-title":"Unsupervised anomaly detection with generative adversarial networks to guide marker discovery","author":"schiegl","year":"2017","journal-title":"Proc International Conference on Information Processing in Medical Imaging (IPMI)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2020.113303"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11723-8_16"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/335191.335388"},{"key":"ref7","first-page":"582","article-title":"Support vector method for novelty detection","author":"sch\u00f6lkopf","year":"1999","journal-title":"Proc 12th International Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/s42400-019-0038-7"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.04.191"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1999.10485670"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1031689016"},{"journal-title":"Copulas 0 5 1","year":"0","key":"ref22"},{"key":"ref21","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"journal-title":"IEEE Signal Processing Society","year":"0","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.05.008"}],"event":{"name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2021,10,25]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2021,10,28]]}},"container-title":["2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9596063\/9596068\/09596359.pdf?arnumber=9596359","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T17:08:45Z","timestamp":1744304925000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9596359\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,25]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/mlsp52302.2021.9596359","relation":{},"subject":[],"published":{"date-parts":[[2021,10,25]]}}}