{"id":"https://openalex.org/W4410565684","doi":"https://doi.org/10.1007/s11548-025-03400-6","title":"Contrastive prototype federated learning against noisy labels in fetal standard plane detection","display_name":"Contrastive prototype federated learning against noisy labels in fetal standard plane detection","publication_year":2025,"publication_date":"2025-05-21","ids":{"openalex":"https://openalex.org/W4410565684","doi":"https://doi.org/10.1007/s11548-025-03400-6","pmid":"https://pubmed.ncbi.nlm.nih.gov/40397230"},"language":"en","primary_location":{"id":"doi:10.1007/s11548-025-03400-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03400-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03400-6.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03400-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076591016","display_name":"Maria Chiara Fiorentino","orcid":"https://orcid.org/0000-0002-7397-803X"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Maria Chiara Fiorentino","raw_affiliation_strings":["Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy. m.c.fiorentino@staff.univpm.it"],"raw_orcid":"https://orcid.org/0000-0002-7397-803X","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy. m.c.fiorentino@staff.univpm.it","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049959342","display_name":"Giovanna Migliorelli","orcid":null},"institutions":[{"id":"https://openalex.org/I55133342","display_name":"University of Macerata","ror":"https://ror.org/0001fmy77","country_code":"IT","type":"education","lineage":["https://openalex.org/I55133342"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanna Migliorelli","raw_affiliation_strings":["Department of Law, Universit\u00e0 degli Studi di Macerata, Macerata, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Law, Universit\u00e0 degli Studi di Macerata, Macerata, Italy","institution_ids":["https://openalex.org/I55133342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077057482","display_name":"Francesca Pia Villani","orcid":"https://orcid.org/0000-0001-6883-1618"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Pia Villani","raw_affiliation_strings":["Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Universit\u00e0 Politecnica delle Marche, Ancona, Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000889718","display_name":"Emanuele Frontoni","orcid":"https://orcid.org/0000-0002-8893-9244"},"institutions":[{"id":"https://openalex.org/I55133342","display_name":"University of Macerata","ror":"https://ror.org/0001fmy77","country_code":"IT","type":"education","lineage":["https://openalex.org/I55133342"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emanuele Frontoni","raw_affiliation_strings":["Department of Political Sciences, Communication and International Relations, Universit\u00e0 degli Studi di Macerata, Macerata, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Political Sciences, Communication and International Relations, Universit\u00e0 degli Studi di Macerata, Macerata, Italy","institution_ids":["https://openalex.org/I55133342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044380722","display_name":"Sara Moccia","orcid":"https://orcid.org/0000-0001-5620-0421"},"institutions":[{"id":"https://openalex.org/I39387349","display_name":"University of Chieti-Pescara","ror":"https://ror.org/00qjgza05","country_code":"IT","type":"education","lineage":["https://openalex.org/I39387349"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sara Moccia","raw_affiliation_strings":["Department of Innovative Technologies in Medicine and Dentistry, Universit\u00e0 degli Studi \"G. d'Annunzio\", Chieti, Pescara, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Innovative Technologies in Medicine and Dentistry, Universit\u00e0 degli Studi \"G. d'Annunzio\", Chieti, Pescara, Italy","institution_ids":["https://openalex.org/I39387349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076591016"],"corresponding_institution_ids":["https://openalex.org/I122534668"],"apc_list":{"value":3390,"currency":"EUR","value_usd":4390},"apc_paid":{"value":3390,"currency":"EUR","value_usd":4390},"fwci":19.8863,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.99414942,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"20","issue":"7","first_page":"1431","last_page":"1439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.36070001125335693,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.36070001125335693,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.10090000182390213,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.07129999995231628,"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/computer-science","display_name":"Computer science","score":0.8472415804862976},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5414358377456665},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.513713002204895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4908369183540344},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4888412356376648},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4481649398803711},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3940151333808899},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39055323600769043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3206966519355774}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8472415804862976},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5414358377456665},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.513713002204895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4908369183540344},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4888412356376648},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4481649398803711},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3940151333808899},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39055323600769043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3206966519355774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098407","descriptor_name":"Federated Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098407","descriptor_name":"Federated Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098407","descriptor_name":"Federated Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098407","descriptor_name":"Federated Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098407","descriptor_name":"Federated Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016216","descriptor_name":"Ultrasonography, Prenatal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016216","descriptor_name":"Ultrasonography, Prenatal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016216","descriptor_name":"Ultrasonography, Prenatal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016216","descriptor_name":"Ultrasonography, Prenatal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016216","descriptor_name":"Ultrasonography, Prenatal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1007/s11548-025-03400-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03400-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03400-6.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},{"id":"pmid:40397230","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40397230","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International journal of computer assisted radiology and surgery","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:12226630","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12226630","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12226630/pdf/11548_2025_Article_3400.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int J Comput Assist Radiol Surg","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s11548-025-03400-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-025-03400-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-025-03400-6.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323420","display_name":"Universit\u00e0 Politecnica delle Marche","ror":"https://ror.org/00x69rs40"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410565684.pdf","grobid_xml":"https://content.openalex.org/works/W4410565684.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2580088840","https://openalex.org/W2981873476","https://openalex.org/W3036165397","https://openalex.org/W3182336762","https://openalex.org/W3190486510","https://openalex.org/W3205655893","https://openalex.org/W4214903080","https://openalex.org/W4280619489","https://openalex.org/W4306194578","https://openalex.org/W4312403682","https://openalex.org/W4320914483","https://openalex.org/W4385628415","https://openalex.org/W4387339740","https://openalex.org/W4387641399","https://openalex.org/W4392207677","https://openalex.org/W4394617205","https://openalex.org/W4399067019","https://openalex.org/W4399531961","https://openalex.org/W4402739524","https://openalex.org/W6600688380"],"related_works":["https://openalex.org/W1975289146","https://openalex.org/W2105887828","https://openalex.org/W2122599759","https://openalex.org/W4236520801","https://openalex.org/W1537234410","https://openalex.org/W1995022398","https://openalex.org/W2961085424","https://openalex.org/W2484602794","https://openalex.org/W2373013700","https://openalex.org/W2384728854"],"abstract_inverted_index":{"PURPOSE:":[0],"This":[1],"study":[2],"aims":[3],"to":[4,41,69,83,128,161,180],"improve":[5],"federated":[6,29],"learning":[7,65],"(FL)":[8],"for":[9],"ultrasound":[10],"fetal":[11,201],"standard":[12,185,202],"plane":[13,186,203],"detection":[14,204],"by":[15,91,205],"addressing":[16],"noisy":[17,43,85,214],"labels":[18,44,86,139],"and":[19,45,215],"data":[20,217],"size":[21,218],"variability":[22],"across":[23,193,219],"decentralized":[24],"clients.":[25],"We":[26],"propose":[27],"a":[28,98,105,157],"denoising":[30],"framework":[31,57,175],"leveraging":[32,92,206],"prototypes":[33],"from":[34,111,140],"the":[35,39,70,73,88,93,112,125,130,136,141,166,189],"largest":[36,74],"dataset":[37,168],"in":[38,48,87,165,184],"federation":[40],"refine":[42,84],"enhance":[46],"predictions":[47],"all":[49],"clients":[50],"while":[51,169,221],"preserving":[52,222],"privacy.":[53,223],"METHODS:":[54],"The":[55,196],"proposed":[56,197],"consists":[58],"of":[59,72,138],"two":[60],"main":[61],"steps.":[62],"First,":[63],"contrastive":[64],"(SimCLR)":[66],"is":[67,153],"applied":[68],"images":[71],"client,":[75],"generating":[76],"robust":[77,210],"embeddings.":[78],"These":[79],"embeddings":[80,113],"are":[81,122],"used":[82],"same":[89],"client":[90,127],"latent":[94],"space":[95],"structure":[96],"using":[97],"threshold-based":[99],"k-nearest":[100],"neighbors":[101],"re-labeling":[102],"strategy.":[103],"As":[104],"second":[106],"step,":[107],"image":[108,147,171],"prototypes,":[109,208],"computed":[110],"with":[114,118,124,213],"noise-free":[115],"labels,":[116],"along":[117],"SimCLR":[119],"trained":[120],"backbone,":[121],"shared":[123],"smallest":[126,142,167],"guide":[129],"FL":[131,182],"process":[132],"effectively,":[133],"without":[134],"requiring":[135],"use":[137],"client.":[143],"To":[144],"address":[145],"possible":[146],"distribution":[148],"shifts,":[149],"an":[150],"ensemble":[151],"strategy":[152,198],"introduced,":[154],"which":[155],"uses":[156],"majority":[158],"voting":[159],"scheme":[160],"optimize":[162],"label":[163],"refinement":[164],"minimizing":[170],"discard.":[172],"RESULTS:":[173],"Our":[174],"showed":[176],"improved":[177],"performance":[178,211],"compared":[179],"traditional":[181],"approaches":[183],"detection,":[187],"achieving":[188],"highest":[190],"mean":[191],"F1-score":[192],"planes.":[194],"CONCLUSIONS:":[195],"effectively":[199],"improves":[200],"high-quality":[207],"enabling":[209],"even":[212],"heterogeneous":[216],"clients,":[220]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}