{"id":"https://openalex.org/W2785432341","doi":"https://doi.org/10.1109/ssci.2017.8285192","title":"Photometric redshift estimation: An active learning approach","display_name":"Photometric redshift estimation: An active learning approach","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2785432341","doi":"https://doi.org/10.1109/ssci.2017.8285192","mag":"2785432341"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2017.8285192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2017.8285192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034596650","display_name":"Ricardo Vilalta","orcid":"https://orcid.org/0000-0001-8165-8805"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"R. Vilalta","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065617837","display_name":"\u00c9mille E. O. Ishida","orcid":"https://orcid.org/0000-0002-0406-076X"},"institutions":[{"id":"https://openalex.org/I4210102222","display_name":"Laboratoire de Physique Corpusculaire","ror":"https://ror.org/0214k6v65","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I4210102222"]},{"id":"https://openalex.org/I198244214","display_name":"Universit\u00e9 Clermont Auvergne","ror":"https://ror.org/01a8ajp46","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"E. E. O. Ishida","raw_affiliation_strings":["Laboratoire de Physique Corpusculaire, Universit\u00e9 Clermont-Auvergne 4 Avenue Blaise Pascal, Aubi\u00e8re, Cedex, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire de Physique Corpusculaire, Universit\u00e9 Clermont-Auvergne 4 Avenue Blaise Pascal, Aubi\u00e8re, Cedex, France","institution_ids":["https://openalex.org/I4210102222","https://openalex.org/I198244214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066895161","display_name":"Robert E. Beck","orcid":null},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"R. Beck","raw_affiliation_strings":["Department of Physics of Complex Systems, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Physics of Complex Systems, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary","institution_ids":["https://openalex.org/I106118109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050660924","display_name":"Raymond Sutrisno","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Sutrisno","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034547685","display_name":"Rafael S. de Souza","orcid":"https://orcid.org/0000-0001-7207-4584"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. S. de Souza","raw_affiliation_strings":["Department of Physics & Astronomy, University of North Carolina, USA"],"affiliations":[{"raw_affiliation_string":"Department of Physics & Astronomy, University of North Carolina, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007384804","display_name":"A. Mahabal","orcid":"https://orcid.org/0000-0003-2242-0244"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Mahabal","raw_affiliation_strings":["Department of Astronomy, California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Astronomy, California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034596650"],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":0.2076,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67148428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9706000089645386,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8017682433128357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6627527475357056},{"id":"https://openalex.org/keywords/photometric-redshift","display_name":"Photometric redshift","score":0.63511723279953},{"id":"https://openalex.org/keywords/redshift","display_name":"Redshift","score":0.6095938086509705},{"id":"https://openalex.org/keywords/galaxy","display_name":"Galaxy","score":0.587846040725708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49230825901031494},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4715338349342346},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45711493492126465},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.3728626072406769},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37252306938171387},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22690340876579285},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13760167360305786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12527453899383545}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8017682433128357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6627527475357056},{"id":"https://openalex.org/C2780974285","wikidata":"https://www.wikidata.org/wiki/Q3967221","display_name":"Photometric redshift","level":4,"score":0.63511723279953},{"id":"https://openalex.org/C33024259","wikidata":"https://www.wikidata.org/wiki/Q76250","display_name":"Redshift","level":3,"score":0.6095938086509705},{"id":"https://openalex.org/C98444146","wikidata":"https://www.wikidata.org/wiki/Q318","display_name":"Galaxy","level":2,"score":0.587846040725708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49230825901031494},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4715338349342346},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45711493492126465},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.3728626072406769},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37252306938171387},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22690340876579285},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13760167360305786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12527453899383545},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci.2017.8285192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2017.8285192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:authors.library.caltech.edu:84877","is_oa":false,"landing_page_url":"https://resolver.caltech.edu/CaltechAUTHORS:20180220-071833166","pdf_url":null,"source":{"id":"https://openalex.org/S4306402161","display_name":"CaltechAUTHORS (California Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122411786","host_organization_name":"California Institute of Technology","host_organization_lineage":["https://openalex.org/I122411786"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W77777798","https://openalex.org/W149023494","https://openalex.org/W1528361845","https://openalex.org/W1566499617","https://openalex.org/W1568139284","https://openalex.org/W1587567107","https://openalex.org/W1617650991","https://openalex.org/W1682040381","https://openalex.org/W1943306457","https://openalex.org/W1966086610","https://openalex.org/W2013359756","https://openalex.org/W2018770010","https://openalex.org/W2036823320","https://openalex.org/W2056707879","https://openalex.org/W2066469075","https://openalex.org/W2072243389","https://openalex.org/W2076118331","https://openalex.org/W2080021732","https://openalex.org/W2089681154","https://openalex.org/W2093437356","https://openalex.org/W2093596219","https://openalex.org/W2098203240","https://openalex.org/W2104094955","https://openalex.org/W2106701323","https://openalex.org/W2120708938","https://openalex.org/W2128073546","https://openalex.org/W2128986303","https://openalex.org/W2131953535","https://openalex.org/W2138081032","https://openalex.org/W2149464712","https://openalex.org/W2154699230","https://openalex.org/W2164255929","https://openalex.org/W2167287141","https://openalex.org/W2169605968","https://openalex.org/W2207069478","https://openalex.org/W2227274187","https://openalex.org/W2345856971","https://openalex.org/W2563171474","https://openalex.org/W2570764145","https://openalex.org/W2584691382","https://openalex.org/W2588388606","https://openalex.org/W2914331073","https://openalex.org/W2949071206","https://openalex.org/W2950333415","https://openalex.org/W3099074104","https://openalex.org/W3099349474","https://openalex.org/W3099811482","https://openalex.org/W3100575885","https://openalex.org/W3101862440","https://openalex.org/W3104062568","https://openalex.org/W3104092563","https://openalex.org/W3104778445","https://openalex.org/W3105078010","https://openalex.org/W3123261968","https://openalex.org/W4206723194","https://openalex.org/W6603082663","https://openalex.org/W6633968015","https://openalex.org/W6655195918","https://openalex.org/W6679154154","https://openalex.org/W6682095809"],"related_works":["https://openalex.org/W2952000709","https://openalex.org/W2103067535","https://openalex.org/W2024864808","https://openalex.org/W1613035044","https://openalex.org/W2072161578","https://openalex.org/W3104092563","https://openalex.org/W2366516297","https://openalex.org/W3043088285","https://openalex.org/W3103734241","https://openalex.org/W1892400219"],"abstract_inverted_index":{"A":[0],"long-lasting":[1],"problem":[2,64],"in":[3,18,48,52,109],"astronomy":[4],"is":[5],"the":[6,15,26,33,42,81,110,138],"accurate":[7],"estimation":[8],"of":[9,54,130,140],"galaxy":[10],"distances":[11],"based":[12,65],"solely":[13],"on":[14,66],"information":[16],"contained":[17],"photometric":[19,43,55,141],"filters.":[20],"Due":[21],"to":[22,41,62,79,85,116,136],"observational":[23],"selection":[24],"effects,":[25],"spectroscopic":[27],"(source)":[28],"sample":[29],"lacks":[30],"coverage":[31],"throughout":[32],"feature":[34],"space":[35],"(e.g.":[36],"colors":[37],"and":[38],"magnitudes)":[39],"compared":[40],"(target)":[44],"sample;":[45],"this":[46,63],"results":[47],"a":[49,60,69,74,87,96,126],"clear":[50],"mismatch":[51],"terms":[53],"measurement":[56],"distributions.":[57],"We":[58,101,122],"propose":[59],"solution":[61],"active":[67,93],"learning,":[68],"machine":[70],"learning":[71,94],"technique":[72],"where":[73],"sampling":[75],"strategy":[76],"enables":[77],"us":[78],"select":[80],"most":[82],"informative":[83],"instances":[84],"build":[86],"predictive":[88,119],"model;":[89],"specifically,":[90],"we":[91,113],"use":[92],"following":[95],"Query":[97],"by":[98,104],"Committee":[99],"approach.":[100],"show":[102,124],"that":[103],"making":[105],"wisely":[106],"selected":[107],"queries":[108,131],"target":[111],"domain,":[112],"are":[114],"able":[115],"increase":[117],"our":[118],"performance":[120,139],"significantly.":[121,144],"also":[123],"how":[125],"relatively":[127],"small":[128],"number":[129],"(spectroscopic":[132],"follow-up":[133],"measurements)":[134],"suffices":[135],"improve":[137],"redshift":[142],"estimators":[143]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}