{"id":"https://openalex.org/W4409104596","doi":"https://doi.org/10.1088/2632-2153/adc86f","title":"Transfer learning and the early estimation of single-photon source quality using machine learning methods","display_name":"Transfer learning and the early estimation of single-photon source quality using machine learning methods","publication_year":2025,"publication_date":"2025-04-02","ids":{"openalex":"https://openalex.org/W4409104596","doi":"https://doi.org/10.1088/2632-2153/adc86f"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/adc86f","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/adc86f","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1088/2632-2153/adc86f","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024261145","display_name":"David Jacob Kedziora","orcid":"https://orcid.org/0000-0002-0673-182X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"David Jacob Kedziora","raw_affiliation_strings":["Complex Adaptive Systems Lab, University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0673-182X","affiliations":[{"raw_affiliation_string":"Complex Adaptive Systems Lab, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049388431","display_name":"Anna Musia\u0142","orcid":"https://orcid.org/0000-0001-9602-8929"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Anna Musia\u0142","raw_affiliation_strings":["Department of Experimental Physics, Wroclaw University of Science and Technology, Wroc\u0142aw, Poland"],"raw_orcid":"https://orcid.org/0000-0001-9602-8929","affiliations":[{"raw_affiliation_string":"Department of Experimental Physics, Wroclaw University of Science and Technology, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044946119","display_name":"W. Rudno\u2010Rudzi\u0144ski","orcid":"https://orcid.org/0000-0002-3475-7517"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Wojciech Rudno-Rudzi\u0144ski","raw_affiliation_strings":["Department of Experimental Physics, Wroclaw University of Science and Technology, Wroc\u0142aw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-3475-7517","affiliations":[{"raw_affiliation_string":"Department of Experimental Physics, Wroclaw University of Science and Technology, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083181106","display_name":"Bogdan Gabry\u015b","orcid":"https://orcid.org/0000-0002-0790-2846"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bogdan Gabrys","raw_affiliation_strings":["Complex Adaptive Systems Lab, University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0790-2846","affiliations":[{"raw_affiliation_string":"Complex Adaptive Systems Lab, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024261145"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":0.9665,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74215886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"6","issue":"2","first_page":"025014","last_page":"025014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7512295842170715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.584195613861084},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5610593557357788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5171355605125427},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4842057228088379},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4615400433540344},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4542064070701599},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16041970252990723},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12623128294944763}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7512295842170715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.584195613861084},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5610593557357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5171355605125427},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4842057228088379},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4615400433540344},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4542064070701599},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16041970252990723},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12623128294944763},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/adc86f","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/adc86f","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9931a09850694b23866541e0f27eaab7","is_oa":true,"landing_page_url":"https://doaj.org/article/9931a09850694b23866541e0f27eaab7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 6, Iss 2, p 025014 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/adc86f","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/adc86f","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1509278136","https://openalex.org/W1709784975","https://openalex.org/W1974693120","https://openalex.org/W1981934577","https://openalex.org/W1997772602","https://openalex.org/W2000652143","https://openalex.org/W2003762972","https://openalex.org/W2015179126","https://openalex.org/W2033948497","https://openalex.org/W2045293822","https://openalex.org/W2059599130","https://openalex.org/W2063325978","https://openalex.org/W2079914210","https://openalex.org/W2087866628","https://openalex.org/W2091118421","https://openalex.org/W2132764286","https://openalex.org/W2145375372","https://openalex.org/W2167656187","https://openalex.org/W2203037887","https://openalex.org/W2526894813","https://openalex.org/W2620765442","https://openalex.org/W2670044590","https://openalex.org/W2728092904","https://openalex.org/W2781619148","https://openalex.org/W2798502453","https://openalex.org/W2945790260","https://openalex.org/W2972706391","https://openalex.org/W2988760070","https://openalex.org/W2995098239","https://openalex.org/W2995719946","https://openalex.org/W3102593705","https://openalex.org/W3107463944","https://openalex.org/W3156818388","https://openalex.org/W3164242727","https://openalex.org/W3196307655","https://openalex.org/W4224938383","https://openalex.org/W4283829274","https://openalex.org/W4294908416","https://openalex.org/W4318313448","https://openalex.org/W4378377067","https://openalex.org/W4388718825","https://openalex.org/W4391969708","https://openalex.org/W6675354045","https://openalex.org/W6720869757","https://openalex.org/W6751421292","https://openalex.org/W6757562920","https://openalex.org/W6781359998","https://openalex.org/W6787761781","https://openalex.org/W6810921645"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W2576994247","https://openalex.org/W4282827391","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W4405541655","https://openalex.org/W2563559453","https://openalex.org/W2382330008","https://openalex.org/W4386828785","https://openalex.org/W1519970947"],"abstract_inverted_index":{"Abstract":[0],"The":[1,101],"use":[2],"of":[3,81,88,129,137,154,190,225],"single-photon":[4,28],"sources":[5],"(SPSs)":[6],"is":[7,41,67,177,193],"central":[8],"to":[9,70],"numerous":[10],"systems":[11],"and":[12,27,44,93,145,157,232],"devices":[13],"proposed":[14],"amidst":[15],"a":[16,39,68,89,115,135,168],"modern":[17],"surge":[18],"in":[19,77,126],"quantum":[20,112,119],"technology.":[21],"However,":[22],"manufacturing":[23],"schemes":[24],"remain":[25],"imperfect,":[26],"emission":[29,62],"purity":[30],"must":[31],"often":[32],"be":[33,56],"experimentally":[34],"verified":[35],"via":[36,134],"interferometry.":[37],"Such":[38],"process":[40],"typically":[42],"slow":[43],"costly,":[45],"which":[46],"has":[47],"motivated":[48,91],"growing":[49],"research":[50],"into":[51],"whether":[52],"SPS":[53,226],"quality":[54,82],"can":[55,95,171],"more":[57],"rapidly":[58],"inferred":[59],"from":[60,107,152],"incomplete":[61],"statistics.":[63],"Hence,":[64],"this":[65],"study":[66,102,214],"sequel":[69],"previous":[71],"work":[72],"that":[73,166],"demonstrated":[74],"significant":[75],"uncertainty":[76],"the":[78,85,127,130,155,160,180,188,213,223],"standard":[79,173],"method":[80],"estimation,":[83],"i.e.":[84,114],"least-squares":[86],"fitting":[87,174],"physically":[90],"function,":[92],"asks:":[94],"machine":[96],"learning":[97,192],"(ML)":[98],"do":[99],"better?":[100],"leverages":[103],"eight":[104,122],"datasets":[105],"obtained":[106],"measurements":[108],"involving":[109],"an":[110,209],"exemplary":[111],"emitter,":[113],"single":[116],"InGaAs/GaAs":[117],"epitaxial":[118],"dot;":[120],"these":[121],"contexts":[123,156,182],"predominantly":[124],"vary":[125],"intensity":[128],"exciting":[131],"laser.":[132],"Specifically,":[133],"form":[136],"\u2018transfer":[138],"learning\u2019,":[139],"five":[140],"ML":[141],"models,":[142],"three":[143],"linear":[144,169],"two":[146],"ensemble-based,":[147],"are":[148],"trained":[149,185],"on":[150,159,179],"data":[151,203],"seven":[153],"tested":[158,178],"eighth.":[161],"Validation":[162],"metrics":[163],"quickly":[164],"reveal":[165],"even":[167,196],"regressor":[170],"outperform":[172],"when":[175],"it":[176,183],"same":[181],"was":[184],"on,":[186],"but":[187],"success":[189],"transfer":[191],"less":[194],"assured,":[195],"though":[197],"statistical":[198],"analysis,":[199],"made":[200],"possible":[201],"by":[202,216],"augmentation,":[204],"suggests":[205],"its":[206],"superiority":[207],"as":[208],"early":[210],"estimator.":[211],"Accordingly,":[212],"concludes":[215],"discussing":[217],"future":[218],"strategies":[219],"for":[220],"grappling":[221],"with":[222],"problem":[224],"context":[227],"dissimilarity,":[228],"e.g.":[229],"feature":[230],"engineering":[231],"model":[233],"adaptation.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
