{"id":"https://openalex.org/W4389104991","doi":"https://doi.org/10.1109/tnnls.2023.3321691","title":"Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder","display_name":"Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389104991","doi":"https://doi.org/10.1109/tnnls.2023.3321691","pmid":"https://pubmed.ncbi.nlm.nih.gov/38015681"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3321691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3321691","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5044429700","display_name":"Bocun He","orcid":"https://orcid.org/0000-0002-4638-018X"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bocun He","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4638-018X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654679","display_name":"Xinmin Zhang","orcid":"https://orcid.org/0000-0002-4761-3969"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinmin Zhang","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4761-3969","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048733958","display_name":"Zhihuan Song","orcid":"https://orcid.org/0000-0003-4098-6479"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihuan Song","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4098-6479","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4391767838"],"apc_list":null,"apc_paid":null,"fwci":4.7561,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.95697064,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"35","issue":"3","first_page":"2927","last_page":"2941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9785000085830688,"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/autoencoder","display_name":"Autoencoder","score":0.7799109220504761},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.6229320764541626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5919591188430786},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5550068616867065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5158804655075073},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4908028542995453},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.47791820764541626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46282821893692017},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4195457696914673},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4117129147052765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3674520254135132},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.36394044756889343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35238805413246155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1842842996120453},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.16800329089164734},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13741281628608704},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.10954990983009338}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7799109220504761},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.6229320764541626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5919591188430786},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5550068616867065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5158804655075073},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4908028542995453},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.47791820764541626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46282821893692017},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4195457696914673},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4117129147052765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3674520254135132},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.36394044756889343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35238805413246155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1842842996120453},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.16800329089164734},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13741281628608704},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.10954990983009338},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3321691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3321691","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38015681","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38015681","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1987348790","display_name":null,"funder_award_id":"61833014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1988872666","display_name":null,"funder_award_id":"62003301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7695734127","display_name":null,"funder_award_id":"LQ21F030018","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W623776627","https://openalex.org/W1846651336","https://openalex.org/W2094298886","https://openalex.org/W2108119513","https://openalex.org/W2176583664","https://openalex.org/W2407712691","https://openalex.org/W2742763523","https://openalex.org/W2788805965","https://openalex.org/W2791758405","https://openalex.org/W2801519976","https://openalex.org/W2950426297","https://openalex.org/W2964159205","https://openalex.org/W2971407654","https://openalex.org/W2982252423","https://openalex.org/W2990240608","https://openalex.org/W2990273315","https://openalex.org/W2997701990","https://openalex.org/W3001458159","https://openalex.org/W3032757952","https://openalex.org/W3034190797","https://openalex.org/W3081318531","https://openalex.org/W3087736720","https://openalex.org/W3093656051","https://openalex.org/W3133744637","https://openalex.org/W3138784438","https://openalex.org/W3189069319","https://openalex.org/W4205203957","https://openalex.org/W4285678530","https://openalex.org/W4313176932","https://openalex.org/W4366208220","https://openalex.org/W4378805027","https://openalex.org/W6675747103","https://openalex.org/W6734797129","https://openalex.org/W6735913928","https://openalex.org/W6851800889"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W4283773556","https://openalex.org/W2570009360","https://openalex.org/W4321440274","https://openalex.org/W3004345458","https://openalex.org/W2883186538","https://openalex.org/W2051180862"],"abstract_inverted_index":{"Partially":[0],"labeled":[1,34,179,184],"data,":[2,35],"which":[3,55],"is":[4,41,53,82,126],"common":[5],"in":[6,22,43,134,143,156],"industrial":[7],"processes":[8],"due":[9],"to":[10,28,57,69,85,111,174],"the":[11,30,65,70,75,91,113,117,123,129,138,151,164],"low":[12],"sampling":[13],"rate":[14],"of":[15,74,90,116,122],"quality":[16],"variables,":[17],"remains":[18],"an":[19,157],"important":[20],"challenge":[21],"soft":[23,175],"sensor":[24],"applications.":[25],"In":[26,46,77],"order":[27],"exploit":[29],"information":[31],"from":[32],"partially":[33,183],"a":[36,48,135,144],"target-related":[37,50],"Laplacian":[38,51],"autoencoder":[39],"(TLapAE)":[40],"proposed":[42,118,124,165],"this":[44],"work.":[45],"TLapAE,":[47],"novel":[49],"regularizer":[52],"developed,":[54],"aims":[56],"extract":[58,86],"structure-preserving":[59],"and":[60,150,181],"quality-related":[61],"features":[62],"by":[63,93],"preserving":[64],"feature-target":[66],"mapping":[67],"according":[68],"local":[71],"geometrical":[72],"structure":[73],"data.":[76],"addition,":[78],"stacked":[79],"TLapAE":[80,96,166],"(STLapAE)":[81],"further":[83],"constructed":[84],"deep":[87],"feature":[88],"representations":[89],"data":[92,180,185],"hierarchically":[94],"stacking":[95],"blocks.":[97],"For":[98],"model":[99,114,167],"training,":[100],"backward":[101],"propagation":[102],"equations":[103],"are":[104],"derived":[105],"based":[106],"on":[107],"matrix":[108],"calculus":[109],"techniques":[110],"update":[112],"parameters":[115],"TLapAE.":[119],"The":[120,160],"effectiveness":[121],"STLapAE":[125],"evaluated":[127],"using":[128,177],"butane":[130],"content":[131,140],"prediction":[132,141,154,171],"case":[133,142,155],"debutanizer":[136],"column,":[137],"silicon":[139],"blast":[145],"furnace":[146],"(BF)":[147],"ironmaking":[148],"process,":[149],"ethane":[152],"concentration":[153],"ethylene":[158],"fractionator.":[159],"results":[161],"show":[162],"that":[163],"has":[168],"significantly":[169],"improved":[170],"accuracy":[172],"compared":[173],"sensors":[176],"only":[178],"other":[182],"modeling":[186],"methods.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":6}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}