{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T19:51:39Z","timestamp":1790625099258,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T00:00:00Z","timestamp":1509926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Chinese Academy of Sciences STS Project","award":["KFJ-SW-STS-155"],"award-info":[{"award-number":["KFJ-SW-STS-155"]}]},{"name":"Major Programs of the General Logistics Department Project","award":["AWS14R013"],"award-info":[{"award-number":["AWS14R013"]}]},{"name":"Civil Aviation Science and Technology Major Project","award":["MHRD20160109"],"award-info":[{"award-number":["MHRD20160109"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,11,6]]},"DOI":"10.1145\/3132847.3133022","type":"proceedings-article","created":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T13:30:29Z","timestamp":1509975029000},"page":"1189-1198","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":36,"title":["Fine-grained Patient Similarity Measuring using Deep Metric Learning"],"prefix":"10.1145","author":[{"given":"Jiazhi","family":"Ni","sequence":"first","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenxin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Ye","sequence":"additional","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhirou","family":"Ma","sequence":"additional","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2017,11,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2408736.2408740"},{"key":"e_1_3_2_1_2_1","first-page":"1799","volume-title":"2012 21st International Conference on. IEEE","author":"Wang J.","year":"2012"},{"key":"e_1_3_2_1_3_1","volume-title":"IEEE","author":"Zhu Z","year":"2017"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339605"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939823"},{"key":"e_1_3_2_1_6_1","volume-title":"Very deep convolutionalnetworks for large-scale image recognition. ArXiv preprintarXiv:1409.1556","author":"Simonyan A.","year":"2014"},{"key":"e_1_3_2_1_7_1","volume-title":"Network in network. ArXivpreprint arXiv:1312.4400","author":"Lin Q.","year":"2013"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_9_1","volume-title":"Inception-ResNet and the Impact of Residual Connections on Learning{J}.","author":"Szegedy C","year":"2016"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/2987189.2987282"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.180"},{"key":"e_1_3_2_1_12_1","volume-title":"NIPS","author":"Weinberger J.","year":"2006"},{"key":"e_1_3_2_1_13_1","volume-title":"International Symposium on Biomedical Imaging. IEEE","author":"Bar Y"},{"key":"e_1_3_2_1_14_1","volume-title":"Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis{M} Medical Image Computing and Computer-Assisted Intervention -- MICCAI","author":"Li R","year":"2014"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1038\/srep26094"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.03.004"},{"key":"e_1_3_2_1_17_1","volume-title":"Computer Science","author":"Choi E","year":"2015"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2014.05.010"},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of 12th SIAM Data Mining Conference (SDM), 59--70","author":"Wang J.","year":"2012"},{"key":"e_1_3_2_1_20_1","volume-title":"Using recurrent neural network models for early detection of heart failure onset {J}. Journal of the American Medical Informatics Association Jamia","author":"Choi E","year":"2016"},{"key":"e_1_3_2_1_21_1","volume-title":"Distance metric learning for large margin nearest neighbor classification","author":"Weinberger J.","year":"2006"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46128-1_49"},{"key":"e_1_3_2_1_23_1","volume-title":"Computer Science","author":"Song H O","year":"2015"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Schroff F Kalenichenko D Philbin J. FaceNet: A unified embedding for face recognition and clustering{J}. 2015:815--823.  Schroff F Kalenichenko D Philbin J. FaceNet: A unified embedding for face recognition and clustering{J}. 2015:815--823.","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2004.03.009"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.019"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-008-5064-8"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007649029923"}],"event":{"name":"CIKM '17: ACM Conference on Information and Knowledge Management","location":"Singapore Singapore","acronym":"CIKM '17","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 2017 ACM on Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3133022","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3132847.3133022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:13:47Z","timestamp":1750212827000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3133022"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,6]]},"references-count":28,"alternative-id":["10.1145\/3132847.3133022","10.1145\/3132847"],"URL":"https:\/\/doi.org\/10.1145\/3132847.3133022","relation":{},"subject":[],"published":{"date-parts":[[2017,11,6]]},"assertion":[{"value":"2017-11-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}