{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T02:44:19Z","timestamp":1761965059283,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.23919\/ecc.2018.8550560","type":"proceedings-article","created":{"date-parts":[[2018,12,7]],"date-time":"2018-12-07T19:50:06Z","timestamp":1544212206000},"page":"691-696","source":"Crossref","is-referenced-by-count":18,"title":["Generative Adversarial Networks for Unsupervised Fault Detection"],"prefix":"10.23919","author":[{"given":"Plakias","family":"Spyridon","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiannis S.","family":"Boutalis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966273"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/4694860"},{"key":"ref12","article-title":"Real-time motor fault detection by 1d convolutional neural networks","volume":"63","author":"ince","year":"2016"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/02564602.2014.987328"},{"key":"ref14","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems 27"},{"key":"ref15","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","volume":"abs 1511 6434","author":"radford","year":"2015","journal-title":"CoRR"},{"key":"ref16","article-title":"NIPS 2016 tutorial: Generative adversarial networks","volume":"abs 1701 160","author":"goodfellow","year":"2017","journal-title":"CoRR"},{"key":"ref17","article-title":"Improved techniques for training gans","volume":"abs 1606 3498","author":"salimans","year":"2016","journal-title":"CoRR"},{"key":"ref18","article-title":"Unsupervised anomaly detection with generative adversarial networks to guide marker discovery","volume":"abs 1703 5921","author":"schlegl","year":"2017","journal-title":"CoRR"},{"key":"ref19","article-title":"Sampling generative networks: Notes on a few effective techniques","volume":"abs 1609 4468","author":"white","year":"2016","journal-title":"CoRR"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1108\/ir.2001.04928eae.003"},{"key":"ref4","article-title":"One-class classification: Taxonomy of study and review of techniques","volume":"abs 1312 49","author":"khan","year":"2013","journal-title":"CoRR"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2008.10.012"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1049\/hve.2016.0005"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2005.01.009"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2015.11.010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1561\/2000000039"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.05.035"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2007.02.004"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2016.7526751"},{"journal-title":"Model-Based Fault Diagnosis Techniques Design Schemes Algorithms and Tools","year":"2008","author":"ding","key":"ref1"},{"key":"ref20","article-title":"Amortised MAP inference for image superresolution","volume":"abs 1610 4490","author":"s\u00f8nderby","year":"2016","journal-title":"CoRR"},{"key":"ref22","article-title":"Deep generative image models using a laplacian pyramid of adversarial networks","volume":"abs 1506 5751","author":"denton","year":"2015","journal-title":"CoRR"},{"key":"ref21","article-title":"Image-to-image translation with conditional adversarial networks","volume":"abs 1611 7004","author":"isola","year":"2016","journal-title":"CoRR"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"journal-title":"Generative adversarial metric","year":"2016","author":"im","key":"ref23"},{"key":"ref26","article-title":"Adam: A method for stochastic optimization","volume":"abs 1412 6980","author":"kingma","year":"2014","journal-title":"CoRR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/0098-1354(93)80018-I"}],"event":{"name":"2018 17th European Control Conference (ECC)","start":{"date-parts":[[2018,6,12]]},"location":"Limassol","end":{"date-parts":[[2018,6,15]]}},"container-title":["2018 European Control Conference (ECC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8496738\/8550039\/08550560.pdf?arnumber=8550560","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T18:52:46Z","timestamp":1598208766000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8550560\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6]]},"references-count":28,"URL":"https:\/\/doi.org\/10.23919\/ecc.2018.8550560","relation":{},"subject":[],"published":{"date-parts":[[2018,6]]}}}