{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T07:13:45Z","timestamp":1761808425032,"version":"3.37.3"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100005595","name":"University of California","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005595","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005595","name":"University of California","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005595","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010002","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,1]]},"DOI":"10.1109\/ssci47803.2020.9308300","type":"proceedings-article","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T23:12:38Z","timestamp":1609888358000},"page":"3115-3124","source":"Crossref","is-referenced-by-count":6,"title":["Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients"],"prefix":"10.1109","author":[{"given":"Noble","family":"Kennamer","sequence":"first","affiliation":[]},{"given":"Emille E. O.","family":"Ishida","sequence":"additional","affiliation":[]},{"given":"Santiago","family":"Gonzalez-Gaitan","sequence":"additional","affiliation":[]},{"given":"Rafael S. de","family":"Souza","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"Ihler","sequence":"additional","affiliation":[]},{"given":"Kara","family":"Ponder","sequence":"additional","affiliation":[]},{"given":"Ricardo","family":"Vilalta","sequence":"additional","affiliation":[]},{"given":"Anais","family":"Moller","sequence":"additional","affiliation":[]},{"given":"David O.","family":"Jones","sequence":"additional","affiliation":[]},{"given":"Mi","family":"Dai","sequence":"additional","affiliation":[]},{"given":"Alberto","family":"Krone-Martins","sequence":"additional","affiliation":[]},{"given":"Bruno","family":"Quint","sequence":"additional","affiliation":[]},{"given":"Sreevarsha","family":"Sreejith","sequence":"additional","affiliation":[]},{"given":"Alex I.","family":"Malz","sequence":"additional","affiliation":[]},{"given":"Lluis","family":"Galbany","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2169298"},{"key":"ref31","first-page":"1366","article-title":"Noisy generalized binary search","author":"nowak","year":"2009","journal-title":"Advances in neural information processing systems"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"4277","DOI":"10.1093\/mnras\/stz3312","article-title":"SuperNNova: an open-source framework for Bayesian, neural network-based supernova classification","volume":"491","author":"m\u00f6ller","year":"2020","journal-title":"Monthly Notices of the Royal Astronomical Society"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3847\/0004-637X\/832\/2\/155"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"1415","DOI":"10.1086\/657607","article-title":"Results from the Supernova Photometric Classification Challenge","volume":"122","author":"kessler","year":"2010","journal-title":"Publications of the Astronomical Society of the Pacific"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"1028","DOI":"10.1086\/605984","article-title":"SNANA: A Public Software Package for Supernova Analysis","volume":"121","author":"kessler","year":"2009","journal-title":"Publications of the Astronomical Society of the Pacific"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1051\/0004-6361\/200911847","article-title":"The core-collapse rate from the Supernova Legacy Survey","volume":"499","author":"bazin","year":"2009","journal-title":"Astronomy and Astrophysics"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1108\/00242530810865501"},{"journal-title":"The Maximization of Submodular Functions","year":"0","author":"krause","key":"ref16"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1023\/A:1007330508534","article-title":"Selective sampling using the query by committee algorithm","volume":"28","author":"freund","year":"1997","journal-title":"Machine Learning"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"6056","DOI":"10.1103\/PhysRevA.45.6056","article-title":"Statistical mechanics of learning from examples","volume":"45","author":"seung","year":"1992","journal-title":"Physical Review A"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"31","DOI":"10.3847\/0067-0049\/225\/2\/31","article-title":"Photometric Supernova Classification with Machine Learning","volume":"225","author":"lochner","year":"2016","journal-title":"The Astrophysical Journal Supplements"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1093\/mnras\/sty3015","article-title":"Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning","volume":"483","author":"ishida","year":"2019","journal-title":"Monthly Notices of the Royal Astronomical Society"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1093\/mnras\/sts650"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/mnras\/stx687"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1088\/0004-637X\/744\/2\/192","article-title":"Active Learning to Overcome Sample Selection Bias: Application to Photometric Variable Star Classification","volume":"744","author":"richards","year":"2012","journal-title":"The Astrophysical Journal"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1038\/s41550-019-0860-6","article-title":"Machine learning and the future of supernova cosmology","volume":"3","author":"ishida","year":"2019","journal-title":"Nature Astronomy"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2966.2005.09456.x"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1086\/307221"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1086\/300499","article-title":"Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant","volume":"116","author":"riess","year":"1998","journal-title":"The Astronomical Journal"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.23943\/princeton\/9780691151687.001.0001","author":"ivezi?","year":"2014","journal-title":"Statistics Data Mining and Machine Learning in Astronomy A Practical Python Guide for the Analysis of Survey Data"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1086\/132020","article-title":"The type IA supernova 1986G in NGC 5128: optical photometry and spectra","volume":"99","author":"phillips","year":"1987","journal-title":"Publications of the Astronomical Society of the Pacific"},{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-01560-1","author":"settles","year":"2012","journal-title":"Active Learning"},{"journal-title":"Information Theory Inference and Learning Algorithms","year":"2003","author":"mackay","key":"ref20"},{"key":"ref22","article-title":"Bayesian active learning for classification and preference learning","author":"houlsby","year":"2011","journal-title":"arXiv preprint arXiv 1112 5745"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref24","first-page":"7026","article-title":"Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning","author":"kirsch","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1007\/BF01588971","article-title":"An analysis of approximations for maximizing submodular set functions&#x2014;i","volume":"14","author":"nemhauser","year":"1978","journal-title":"Mathematical Programming"},{"journal-title":"Optimizing Sensing","year":"2008","author":"krause","key":"ref26"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1109\/18.79902","article-title":"A new outlook on shannon&#x2019;s information measures","volume":"37","author":"yeung","year":"1991","journal-title":"IEEE Transactions on Information Theory"}],"event":{"name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","start":{"date-parts":[[2020,12,1]]},"location":"Canberra, ACT, Australia","end":{"date-parts":[[2020,12,4]]}},"container-title":["2020 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9308061\/9308107\/09308300.pdf?arnumber=9308300","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,10]],"date-time":"2022-12-10T17:31:57Z","timestamp":1670693517000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9308300\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,1]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ssci47803.2020.9308300","relation":{},"subject":[],"published":{"date-parts":[[2020,12,1]]}}}