{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T10:33:54Z","timestamp":1776076434043,"version":"3.50.1"},"reference-count":46,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100018693","name":"Horizon Europe","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018693","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,15]]},"DOI":"10.1109\/bigdata62323.2024.10825081","type":"proceedings-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:31:23Z","timestamp":1737052283000},"page":"2142-2151","source":"Crossref","is-referenced-by-count":4,"title":["Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data"],"prefix":"10.1109","author":[{"given":"Abigail","family":"Langbridge","sequence":"first","affiliation":[{"name":"Imperial College London,Dyson School of Design Engineering,United Kingdom"}]},{"given":"Fearghal","family":"O\u2019Donncha","sequence":"additional","affiliation":[{"name":"IBM Research Europe,AI for Sustainable Industry,Dublin,Ireland"}]},{"given":"James T","family":"Rayfield","sequence":"additional","affiliation":[{"name":"IBM Research,IBM T.J. Watson Research Center,NY,USA"}]},{"given":"Bradley","family":"Eck","sequence":"additional","affiliation":[{"name":"IBM Research Europe,AI for Sustainable Industry,Dublin,Ireland"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2012.08.002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhazmat.2006.06.069"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43524-9_6"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-73100-7_60"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2023.10.047"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2020.101850"},{"key":"ref7","article-title":"Conformalized density-and distance-based anomaly detection in time-series data","author":"Burnaev","year":"2016"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3439950"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3465480.3468292"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.04.070"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108996"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335437"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335388"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2018.03.150"},{"key":"ref15","volume-title":"Conformal prediction for reliable machine learning: theory, adaptations and applications","author":"Balasubramanian"},{"issue":"1","key":"ref16","first-page":"1","article-title":"A survey on explainable anomaly detection","volume":"18","author":"Li","year":"2023","journal-title":"ACM Transactions on Knowledge Discovery from Data"},{"key":"ref17","article-title":"An evaluation of the human-interpretability of explanation","author":"Lage","year":"2019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3236009"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2016.42"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/HSI.2018.8430788"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1561\/9781680835519"},{"key":"ref23","first-page":"199","article-title":"On the translocation of masses","volume":"37","author":"Kantorovich","year":"1942","journal-title":"Dokl. Akad. Nauk. USSR (NS)"},{"key":"ref24","article-title":"Spatial anomaly detection with optimal transport","author":"Seshadri","year":"2022"},{"key":"ref25","article-title":"Exploring optimal transport for event-level anomaly detection at the large hadron collider","author":"Craig","year":"2024"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/jrsssc\/qlae005"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3180548"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053464"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026543900054"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1137\/21M1390062"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531974"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3321935"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-022-06213-9"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3360484"},{"key":"ref35","article-title":"Discount: Distributional counterfactual explanation with optimal transport","author":"You","year":"2024"},{"key":"ref36","article-title":"Overcoming representation bias in fairness-aware data repair using optimal transport","author":"Langbridge","year":"2024","journal-title":"Communications in Optimization Theory"},{"key":"ref37","article-title":"Review of maritime transport 2023","volume-title":"United Nations Conference on Trade and Development, New York, Annual Report"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-6684-9848-4.ch002"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101957"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02197-w"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-55732-4"},{"issue":"78","key":"ref42","first-page":"1","article-title":"Pot: Python optimal transport","volume":"22","author":"Flamary","year":"2021","journal-title":"Journal of Machine Learning Research"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1002\/sam.11500"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirpj.2022.11.004"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-6684-9848-4.ch004"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3146552"}],"event":{"name":"2024 IEEE International Conference on Big Data (BigData)","location":"Washington, DC, USA","start":{"date-parts":[[2024,12,15]]},"end":{"date-parts":[[2024,12,18]]}},"container-title":["2024 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10824975\/10824942\/10825081.pdf?arnumber=10825081","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T08:14:21Z","timestamp":1737101661000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10825081\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/bigdata62323.2024.10825081","relation":{},"subject":[],"published":{"date-parts":[[2024,12,15]]}}}