{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:05:32Z","timestamp":1730199932785,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,15]],"date-time":"2023-10-15T00:00:00Z","timestamp":1697328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,15]],"date-time":"2023-10-15T00:00:00Z","timestamp":1697328000000},"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":[[2023,10,15]]},"DOI":"10.1109\/bhi58575.2023.10313362","type":"proceedings-article","created":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T18:48:28Z","timestamp":1699987708000},"page":"1-4","source":"Crossref","is-referenced-by-count":1,"title":["SiaKey: A Method for Improving Few-shot Learning with Clinical Domain Information"],"prefix":"10.1109","author":[{"given":"Zhuochun","family":"Li","sequence":"first","affiliation":[{"name":"University of Pittsburgh,School of Computing and Information,Pittsburgh,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khushboo","family":"Thaker","sequence":"additional","affiliation":[{"name":"University of Pittsburgh,School of Computing and Information,Pittsburgh,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daqing","family":"He","sequence":"additional","affiliation":[{"name":"University of Pittsburgh,School of Computing and Information,Pittsburgh,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s40708-016-0036-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000203"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.35"},{"key":"ref4","first-page":"1","article-title":"Overview of bionlp shared task 2013","volume-title":"Proceedings of the BioNLP shared task 2013 workshop","author":"N\u00e9dellec"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11431-020-1647-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3510033"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.197"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz682"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w19-1909"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-5715"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3386252"},{"key":"ref12","article-title":"Signature verification using a","volume":"6","author":"Bromley","year":"1993","journal-title":"siamese\" time delay neural network,\" Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-04590-0"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"article-title":"word2vec explained: deriving mikolov et al.\u2019s negative-sampling word-embedding method","year":"2014","author":"Goldberg","key":"ref15"},{"article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"Devlin","key":"ref16"},{"issue":"8","key":"ref17","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI blog"},{"issue":"140","key":"ref18","first-page":"1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-02095-4"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.23919\/CinC53138.2021.9662707"},{"key":"ref21","first-page":"0","article-title":"Siamese neural networks for one-shot image recognition","volume-title":"ICML deep learning workshop","volume":"2","author":"Koch"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3243250.3243268"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.2196\/44293"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378092"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d18-2029"},{"key":"ref26","first-page":"319","article-title":"ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing","volume-title":"Proceedings of the 18th BioNLP Workshop and Shared Task","author":"Neumann"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K18-1022"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2023.104458"}],"event":{"name":"2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","start":{"date-parts":[[2023,10,15]]},"location":"Pittsburgh, PA, USA","end":{"date-parts":[[2023,10,18]]}},"container-title":["2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10313339\/10313352\/10313362.pdf?arnumber=10313362","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T16:27:45Z","timestamp":1709396865000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10313362\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,15]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/bhi58575.2023.10313362","relation":{},"subject":[],"published":{"date-parts":[[2023,10,15]]}}}