{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T05:23:00Z","timestamp":1768281780832,"version":"3.49.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T00:00:00Z","timestamp":1620604800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation (NSF)","doi-asserted-by":"publisher","award":["1739328"],"award-info":[{"award-number":["1739328"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency (DARPA)","doi-asserted-by":"publisher","award":["FA8750-18-C-0089"],"award-info":[{"award-number":["FA8750-18-C-0089"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,10]]},"DOI":"10.1109\/icps49255.2021.9468230","type":"proceedings-article","created":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T20:39:55Z","timestamp":1625517595000},"page":"104-111","source":"Crossref","is-referenced-by-count":3,"title":["Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression"],"prefix":"10.1109","author":[{"given":"Feiyang","family":"Cai","sequence":"first","affiliation":[]},{"given":"Ali I.","family":"Ozdagli","sequence":"additional","affiliation":[]},{"given":"Xenofon","family":"Koutsoukos","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107198"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28954-6_16"},{"key":"ref30","author":"arras","year":"2016","journal-title":"“what is relevant in a text document?” An interpretable machine learning approach"},{"key":"ref10","first-page":"985","article-title":"Covariate shift adaptation by importance weighted cross validation","volume":"8","author":"sugiyama","year":"2007","journal-title":"Journal of Machine Learning Research"},{"key":"ref11","author":"lipton","year":"2018","journal-title":"Detecting and correcting for label shift with black box predictors"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2006.66"},{"key":"ref13","article-title":"Auto-encoding variational bayes","author":"kingma","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_91"},{"key":"ref15","author":"vovk","year":"2005","journal-title":"Algorithmic Learning in a Random World"},{"key":"ref16","article-title":"Plug-in martingales for testing exchangeability on-line","author":"fedorova","year":"0","journal-title":"The 29th International Conference on Machine Learning"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref18","first-page":"2579","article-title":"Visualizing data using t-sne","volume":"9","author":"maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-3758(00)00115-4"},{"key":"ref28","first-page":"213","article-title":"Conformal k-NN anomaly detector for univariate data streams","volume":"60","author":"ishimtsev","year":"2017","journal-title":"Conformal and Probabilistic Prediction and Applications"},{"key":"ref4","article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","author":"hendrycks","year":"0","journal-title":"5th International Conference on Learning Representations"},{"key":"ref27","first-page":"1","article-title":"Sequential conformal anomaly detection in trajectories based on hausdorff distance","author":"laxhammar","year":"0","journal-title":"14th International Conference on Information Fusion"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2015.7225802"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10472-013-9381-7"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28954-6_11"},{"key":"ref5","article-title":"Deep anomaly detection with outlier exposure","author":"hendrycks","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref8","article-title":"Detecting adversarial examples in learning-enabled cyber-physical systems using variational autoencoder for regression","author":"cai","year":"0","journal-title":"Workshop on Assured Autonomous Systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPS48487.2020.00024"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2926224"},{"key":"ref9","article-title":"CARLA: an open urban driving simulator","author":"dosovitskiy","year":"0","journal-title":"1st Annual Conference on Robot Learning (CoRL)"},{"key":"ref1","author":"redmon","year":"2018","journal-title":"YOLOv3 An Incremental Improvement"},{"key":"ref20","first-page":"601","article-title":"Correcting sample selection bias by unlabeled data","author":"huang","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref22","first-page":"819","article-title":"Domain adaptation under target and conditional shift","author":"zhang","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref21","first-page":"3","article-title":"When training and test sets are different: characterizing learning transfer","author":"storkey","year":"2009","journal-title":"Dataset Shift in Machine Learning"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.06.019"},{"key":"ref23","author":"garg","year":"2020","journal-title":"A unified view of label shift estimation"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1833280.1833287"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44722-2_29"}],"event":{"name":"2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)","location":"Victoria, BC, Canada","start":{"date-parts":[[2021,5,10]]},"end":{"date-parts":[[2021,5,12]]}},"container-title":["2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9467798\/9468113\/09468230.pdf?arnumber=9468230","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:05Z","timestamp":1652197565000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9468230\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,10]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/icps49255.2021.9468230","relation":{},"subject":[],"published":{"date-parts":[[2021,5,10]]}}}