{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:09:06Z","timestamp":1730264946536,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,16]],"date-time":"2023-07-16T00:00:00Z","timestamp":1689465600000},"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":[[2023,7,16]]},"DOI":"10.1109\/igarss52108.2023.10283022","type":"proceedings-article","created":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T17:42:53Z","timestamp":1697823773000},"page":"7890-7893","source":"Crossref","is-referenced-by-count":0,"title":["Entity Embeddings in Deep Learning for the Detection of Anomalous Insar Deformation Signals"],"prefix":"10.1109","author":[{"given":"M.","family":"Bayaraa","sequence":"first","affiliation":[{"name":"University of Oxford,UK"}]},{"given":"C.","family":"Rossi","sequence":"additional","affiliation":[{"name":"University of Oxford,UK"}]},{"given":"A.","family":"Kalaitzis","sequence":"additional","affiliation":[{"name":"University of Oxford,UK"}]},{"given":"B.","family":"Sheil","sequence":"additional","affiliation":[{"name":"University of Cambridge,UK"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Arunet: Reduction of atmospheric phase screen in sar interferometry using attention-based deep residual u-net","author":"chen","year":"2020","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/2150704X.2019.1692390"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1029\/2020GC009204"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.08.009"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"108","DOI":"10.3390\/info11020108","article-title":"Fastai: a layered api for deep learning","volume":"11","author":"howard","year":"2020","journal-title":"Information"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3018315"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1029\/2018JB015911"},{"key":"ref21","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"year":"2020","key":"ref2"},{"article-title":"Minerals for climate action: the mineral intensity of the clean energy transition. climate-smart mining facility","year":"2020","author":"hund","key":"ref1"},{"article-title":"Artificial neural networks applied to taxi destination prediction","year":"2015","author":"br\u00e9bisson","key":"ref17"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-26254-3"},{"journal-title":"Deep Learning for Coders with fastai & PyTorch","year":"2020","author":"howard","key":"ref19"},{"article-title":"Entity embeddings of categorical variables","year":"2016","author":"guo","key":"ref18"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.05.028"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/14\/4\/001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/2150704X.2013.823673"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2979961"},{"article-title":"Report of the expert panel on the technical causes of the failure of feij&#x00E3;o dami","year":"2020","author":"robertson","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1680\/jgeot.21.00399"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/srep37408"}],"event":{"name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2023,7,16]]},"location":"Pasadena, CA, USA","end":{"date-parts":[[2023,7,21]]}},"container-title":["IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10281394\/10281399\/10283022.pdf?arnumber=10283022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T19:01:20Z","timestamp":1699902080000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10283022\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,16]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/igarss52108.2023.10283022","relation":{},"subject":[],"published":{"date-parts":[[2023,7,16]]}}}