{"id":"https://openalex.org/W4410311039","doi":"https://doi.org/10.1007/s40747-025-01909-6","title":"Siamese network with squeeze-attention for incomplete multi-view multi-label classification","display_name":"Siamese network with squeeze-attention for incomplete multi-view multi-label classification","publication_year":2025,"publication_date":"2025-05-12","ids":{"openalex":"https://openalex.org/W4410311039","doi":"https://doi.org/10.1007/s40747-025-01909-6"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-01909-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01909-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01909-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01909-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102013895","display_name":"Mengqing Wang","orcid":"https://orcid.org/0000-0001-8350-9301"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengqing Wang","raw_affiliation_strings":["College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084657569","display_name":"Jiarui Chen","orcid":"https://orcid.org/0000-0002-5533-8434"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiarui Chen","raw_affiliation_strings":["College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765829","display_name":"Lian Zhao","orcid":"https://orcid.org/0000-0002-5602-1738"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Zhao","raw_affiliation_strings":["College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046725905","display_name":"Yinghao Ye","orcid":"https://orcid.org/0000-0002-0747-8256"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghao Ye","raw_affiliation_strings":["College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001365689","display_name":"Xiaohuan Lu","orcid":"https://orcid.org/0009-0006-7634-7272"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohuan Lu","raw_affiliation_strings":["College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102013895"],"corresponding_institution_ids":["https://openalex.org/I178232147"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04488255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","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/T11550","display_name":"Text and Document Classification Technologies","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computational-intelligence","display_name":"Computational intelligence","score":0.8152947425842285},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.5930535793304443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5017826557159424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4761674106121063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39396870136260986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3644179105758667}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.8152947425842285},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.5930535793304443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5017826557159424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4761674106121063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39396870136260986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3644179105758667}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-01909-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01909-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01909-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d8c9bc4f6f5a4febb0af81fc98b4ce8d","is_oa":true,"landing_page_url":"https://doaj.org/article/d8c9bc4f6f5a4febb0af81fc98b4ce8d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 7, Pp 1-20 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-01909-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01909-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01909-6.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1998160118","display_name":null,"funder_award_id":"62165003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321927","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410311039.pdf","grobid_xml":"https://content.openalex.org/works/W4410311039.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2031489346","https://openalex.org/W2114315281","https://openalex.org/W2127719807","https://openalex.org/W2141282920","https://openalex.org/W2159942673","https://openalex.org/W2171590421","https://openalex.org/W2604675517","https://openalex.org/W2604723872","https://openalex.org/W2787932447","https://openalex.org/W2808239701","https://openalex.org/W2911293880","https://openalex.org/W2932399282","https://openalex.org/W3088016422","https://openalex.org/W3093207983","https://openalex.org/W3098802639","https://openalex.org/W3100993965","https://openalex.org/W3114632476","https://openalex.org/W3126817395","https://openalex.org/W3149958128","https://openalex.org/W3169047433","https://openalex.org/W3171007011","https://openalex.org/W3173972271","https://openalex.org/W4288257146","https://openalex.org/W4290730035","https://openalex.org/W4292326012","https://openalex.org/W4307864332","https://openalex.org/W4311509557","https://openalex.org/W4312290604","https://openalex.org/W4382468418","https://openalex.org/W4390658962","https://openalex.org/W4393029126","https://openalex.org/W4393153051","https://openalex.org/W4393195438","https://openalex.org/W4395046495","https://openalex.org/W4397026403","https://openalex.org/W4398204332","https://openalex.org/W4399053255","https://openalex.org/W4400661880","https://openalex.org/W4401051988","https://openalex.org/W4401640074","https://openalex.org/W4401748396","https://openalex.org/W4401841120","https://openalex.org/W4401862107","https://openalex.org/W4402618490","https://openalex.org/W4403401119","https://openalex.org/W4403615755","https://openalex.org/W4403791259","https://openalex.org/W4404025099","https://openalex.org/W4404439824","https://openalex.org/W4404479988","https://openalex.org/W4404814799","https://openalex.org/W4406521352","https://openalex.org/W6610935195"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"Multi-view":[0],"multi-label":[1,108],"classification":[2,109],"(MvMLC)":[3],"has":[4],"garnered":[5],"significant":[6],"interest":[7],"because":[8],"of":[9,20,35,42,71,149,229],"its":[10],"ability":[11,156],"to":[12,55,61,112,157,174,212,224],"handle":[13],"complex":[14],"datasets.":[15],"However,":[16],"the":[17,33,39,49,56,64,69,114,135,150,155,176,191,201,214,222,227,240],"inherent":[18],"complexity":[19],"real-world":[21],"data":[22,36],"often":[23],"results":[24],"in":[25],"incomplete":[26,106],"views":[27,60,139],"and":[28,37,73,127,144,170,184,220],"missing":[29],"labels,":[30],"which":[31,207],"limit":[32],"richness":[34],"hinder":[38],"accurate":[40],"association":[41],"features":[43],"with":[44,101,168],"their":[45],"corresponding":[46],"categories.":[47],"Additionally,":[48],"MvMLC":[50],"task":[51],"is":[52],"intricate":[53],"due":[54],"need":[57],"for":[58,105],"diverse":[59],"coherently":[62],"represent":[63],"same":[65],"entity,":[66],"thus":[67],"demanding":[68],"creation":[70],"stable":[72],"consistent":[74],"multi-view":[75,107],"representations":[76],"that":[77,239],"can":[78],"ensure":[79],"a":[80,94,98],"reliable":[81],"feature":[82,182,209],"alignment":[83,186],"process":[84],"across":[85,118,187,235],"heterogeneous":[86],"perspectives.":[87],"To":[88],"address":[89],"these":[90],"challenges,":[91],"we":[92,121,199],"propose":[93],"model":[95,223],"based":[96],"on":[97,147],"Siamese":[99,151],"network":[100],"squeeze":[102,202],"attention":[103],"(SSA)":[104],"(iMvMLC).":[110],"Specifically,":[111],"capture":[113],"shared":[115,159,177],"semantic":[116,136,160,178],"information":[117],"different":[119],"views,":[120],"combine":[122],"cross-view":[123],"collaborative":[124],"synthesis":[125],"(CCS)":[126],"viewwise":[128],"representation":[129],"calibration":[130],"(VRC)":[131],"mechanisms.":[132],"CCS":[133],"enhances":[134],"interaction":[137],"between":[138],"by":[140,196],"introducing":[141],"directive":[142],"blocks":[143],"stacked":[145],"autoencoders":[146],"top":[148],"network,":[152],"thereby":[153],"improving":[154],"extract":[158],"representations.":[161],"The":[162],"VRC":[163],"mechanism":[164],"uses":[165],"contrastive":[166],"learning":[167],"positive":[169],"negative":[171],"sample":[172],"pairs":[173],"refine":[175],"space,":[179],"ensuring":[180],"higher":[181],"consistency":[183],"better":[185],"views.":[188],"Furthermore,":[189],"considering":[190],"task-specific":[192],"importance":[193],"variation":[194],"exhibited":[195],"each":[197,218,230],"view,":[198],"apply":[200],"attention-weighted":[203],"fusion":[204],"(SWF)":[205],"strategy,":[206],"performs":[208],"dimensionality":[210],"reduction":[211],"amplify":[213],"key":[215],"characteristics":[216],"from":[217],"view":[219],"enables":[221],"flexibly":[225],"adjust":[226],"influence":[228],"perspective.":[231],"Extensive":[232],"evaluations":[233],"conducted":[234],"five":[236],"datasets":[237],"demonstrate":[238],"SSA":[241],"method":[242],"outperforms":[243],"many":[244],"existing":[245],"approaches.":[246]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
