{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T04:04:50Z","timestamp":1729656290750,"version":"3.28.0"},"reference-count":43,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1109\/ssci.2017.8285192","type":"proceedings-article","created":{"date-parts":[[2018,2,12]],"date-time":"2018-02-12T17:52:06Z","timestamp":1518457926000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Photometric redshift estimation: An active learning approach"],"prefix":"10.1109","author":[{"given":"R.","family":"Vilalta","sequence":"first","affiliation":[]},{"given":"E. E. O.","family":"Ishida","sequence":"additional","affiliation":[]},{"given":"R.","family":"Beck","sequence":"additional","affiliation":[]},{"given":"R.","family":"Sutrisno","sequence":"additional","affiliation":[]},{"given":"R. S.","family":"de Souza","sequence":"additional","affiliation":[]},{"given":"A.","family":"Mahabal","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.160"},{"key":"ref38","first-page":"435","article-title":"Active + semi-supervised learning = robust multi-view learning","author":"muslea","year":"2002","journal-title":"Proceedings of the Nineteenth International Conference on Machine Learning ser ICML '02"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007330508534"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130417"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.1.1"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1088\/0004-637X\/813\/1\/53"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015385"},{"key":"ref36","first-page":"1","article-title":"Query learning strategies using boosting and bagging","author":"abe","year":"1998","journal-title":"Proceedings of the Fifteenth International Conference on Machine Learning Ser ICML '98"},{"key":"ref35","first-page":"231","article-title":"Neural network ensembles, cross validation and active learning","author":"krogh","year":"1994","journal-title":"Proceedings of the 7th International Conference on Neural Information Processing Systems ser NIPS'94"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-77226-2_22"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/0004-637X\/717\/1\/40"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1086\/651702"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1086\/308947"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1093\/mnras\/stx687"},{"key":"ref13","first-page":"137","article-title":"Analysis of representations for domain adaptation","author":"ben-david","year":"2006","journal-title":"Proceedings of the 19th International Conference on Neural Information Processing Systems ser NIPS'06"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref15","first-page":"101","article-title":"Domain adaptation for statistical classifiers","volume":"26","author":"daum\u00e9","year":"2006","journal-title":"J Artif Int Res"},{"journal-title":"Domain Adaptation Learning Bounds and Algorithms","year":"2009","author":"mansour","key":"ref16"},{"journal-title":"Information-theoretical learning of discriminative clusters for unsupervised domain adaptation","year":"2012","author":"shi","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2016.7849951"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2012.2202881"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2966.2005.09456.x"},{"journal-title":"LSST From Science Drivers to Reference Design and Anticipated Data Products","year":"2008","author":"ivezic","key":"ref4"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1613\/jair.295","article-title":"Active learning with statistical models","volume":"4","author":"cohn","year":"1996","journal-title":"Journal of Artificial Intelligence Research"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.1093\/mnras\/stw641","article-title":"The Dark Energy Survey: more than dark energy - an overview","volume":"460","author":"energy","year":"2016","journal-title":"MNRAS"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/mnrasl\/slu067"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1088\/0004-637X\/744\/2\/192"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1051\/0004-6361:20077107"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevD.94.063534"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ascom.2015.01.002"},{"journal-title":"The Pan-STARRS1 Surveys","year":"2016","author":"chambers","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2966.2006.11263.x"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.15.3.168"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2192740"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23808-6_7"},{"key":"ref21","first-page":"27","article-title":"Domain adaptation meets active learning","author":"rai","year":"2010","journal-title":"Proceedings of the NAACL HLT 2010 Workshop on Active Learning for Natural Language Processing ser ALNLP '10 Stroudsburg"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1051\/0004-6361\/201014885"},{"key":"ref24","first-page":"1305","article-title":"Active transfer learning under model shift","author":"wang","year":"2014","journal-title":"Proceedings of the 31st International Conference on Machine Learning (ICML-14)"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1088\/0067-0049\/219\/1\/12"},{"key":"ref23","first-page":"342","author":"shi","year":"2008","journal-title":"Actively Transfer Domain Knowledge"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcss.2008.07.003"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1088\/0004-637X\/775\/2\/93"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2200\/S00429ED1V01Y201207AIM018"}],"event":{"name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","start":{"date-parts":[[2017,11,27]]},"location":"Honolulu, HI","end":{"date-parts":[[2017,12,1]]}},"container-title":["2017 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8267146\/8280782\/08285192.pdf?arnumber=8285192","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,10]],"date-time":"2019-10-10T17:20:49Z","timestamp":1570728049000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8285192\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/ssci.2017.8285192","relation":{},"subject":[],"published":{"date-parts":[[2017,11]]}}}