{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:14:00Z","timestamp":1730297640892,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"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":[[2021,10,17]]},"DOI":"10.1109\/smc52423.2021.9658992","type":"proceedings-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T15:34:35Z","timestamp":1641483275000},"page":"1842-1848","source":"Crossref","is-referenced-by-count":0,"title":["AutoEncoder regularization using Support Vector Data Description for Anomaly Detection"],"prefix":"10.1109","author":[{"given":"Ambareesh","family":"Ravi","sequence":"first","affiliation":[]},{"given":"Fakhri","family":"Karray","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00136"},{"article-title":"Hybrid deep network for anomaly detection","year":"2019","author":"nguyen","key":"ref11"},{"article-title":"Anomaly detection for skin disease images using variational autoencoder","year":"2018","author":"lu","key":"ref12"},{"key":"ref13","article-title":"Greedy layer-wise training of deep networks","volume":"19","author":"bengio","year":"2007","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.07.016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20893-6_39"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451462"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-018-9894-5"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.03.028"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s17122876"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/0169-7439(87)80084-9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-020-00320-x"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.70825"},{"key":"ref3","first-page":"4393","article-title":"Shoaib Ahmed Siddiqui, Alexander Binder, Emmanuel Müller, and Marius Kloft. Deep one-class classification","author":"ruff","year":"2018","journal-title":"International Conference on Machine Learning"},{"article-title":"Deep learning for anomaly detection: A survey","year":"2019","author":"chalapathy","key":"ref6"},{"key":"ref29","article-title":"Visualizing data using t-sne","volume":"9","author":"van der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.86"},{"key":"ref7","first-page":"1","article-title":"Variational autoencoder based anomaly detection using reconstruction probability","volume":"2","author":"an","year":"2015","journal-title":"Special Lecture on IE"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000008084.60811.49"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging4020036"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"article-title":"Anomaly detection using one-class neural networks","year":"2018","author":"chalapathy","key":"ref20"},{"key":"ref22","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00982"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.161"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539872"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.338"}],"event":{"name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","start":{"date-parts":[[2021,10,17]]},"location":"Melbourne, Australia","end":{"date-parts":[[2021,10,20]]}},"container-title":["2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9658572\/9658575\/09658992.pdf?arnumber=9658992","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:56:22Z","timestamp":1652187382000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9658992\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/smc52423.2021.9658992","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]}}}