{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:18:18Z","timestamp":1730200698001,"version":"3.28.0"},"reference-count":46,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"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":[[2023,12,15]]},"DOI":"10.1109\/bigdata59044.2023.10386155","type":"proceedings-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T18:28:47Z","timestamp":1705948127000},"page":"799-808","source":"Crossref","is-referenced-by-count":0,"title":["Multi-view Deep Markov Models for Time Series Anomaly Detection"],"prefix":"10.1109","author":[{"given":"Phuong","family":"Nguyen","sequence":"first","affiliation":[{"name":"New Mexico State University,Department of Computer Science,Las Cruces,New Mexico,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiep","family":"Tran","sequence":"additional","affiliation":[{"name":"New Mexico State University,Department of Computer Science,Las Cruces,New Mexico,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tuan M. V.","family":"Le","sequence":"additional","affiliation":[{"name":"New Mexico State University,Department of Computer Science,Las Cruces,New Mexico,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Trusted multi-view classification","volume-title":"International Conference on Learning Representations","author":"Han","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983780"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16830"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.072"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903810"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5756"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/335"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014894"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330672"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00093"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2801475"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403392"},{"key":"ref13","article-title":"Multi-view anomaly detection via robust probabilistic latent variable models","volume":"29","author":"Iwata","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.16"},{"key":"ref15","article-title":"Learning nonlinear state space models with hamiltonian sequential monte carlo sampler","author":"Xu","year":"2019","journal-title":"arXiv preprint arXiv:1901.00862"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2009.06.009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10779"},{"article-title":"Auto-Encoding Variational Bayes","volume-title":"2nd International Conference on Learning Representations, ICLR","author":"Kingma","key":"ref18"},{"key":"ref19","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint arXiv:1412.6980"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11826"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335388"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3532191"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557470"},{"key":"ref25","article-title":"Graph-augmented normalizing flows for anomaly detection of multiple time series","author":"Dai","year":"2022","journal-title":"arXiv preprint arXiv:2202.07857"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.14778\/3514061.3514067"},{"article-title":"Anomaly transformer: Time series anomaly detection with association discrepancy","volume-title":"International Conference on Learning Representations","author":"Xu","key":"ref27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467075"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.02.039"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(00)00131-8"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(03)00003-5"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-015-5521-0"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.11"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098052"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00088"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.16"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/SPW.2012.18"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3168363"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2507840"},{"key":"ref41","article-title":"Lstm-based encoder-decoder for multi-sensor anomaly detection","author":"SHROFF","year":"2016","journal-title":"arXiv preprint arXiv:1607.00148"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2018.23204"},{"key":"ref43","article-title":"Anomaly detection with generative adversarial networks for multivariate time series","author":"Li","year":"2018","journal-title":"arXiv preprint arXiv:1809.04758"},{"key":"ref44","article-title":"Calibrated one-class classification for unsupervised time series anomaly detection","author":"Xu","year":"2022","journal-title":"arXiv preprint arXiv:2207.12201"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611977653.ch78"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132964"}],"event":{"name":"2023 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2023,12,15]]},"location":"Sorrento, Italy","end":{"date-parts":[[2023,12,18]]}},"container-title":["2023 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385234\/10386078\/10386155.pdf?arnumber=10386155","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T01:43:58Z","timestamp":1706751838000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10386155\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/bigdata59044.2023.10386155","relation":{},"subject":[],"published":{"date-parts":[[2023,12,15]]}}}