{"id":"https://openalex.org/W4385409804","doi":"https://doi.org/10.1007/s40747-023-01157-6","title":"Learning features from irrelevant domains through deep neural network","display_name":"Learning features from irrelevant domains through deep neural network","publication_year":2023,"publication_date":"2023-07-31","ids":{"openalex":"https://openalex.org/W4385409804","doi":"https://doi.org/10.1007/s40747-023-01157-6"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01157-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01157-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01157-6.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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & 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/s40747-023-01157-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056155968","display_name":"Pengcheng Wen","orcid":"https://orcid.org/0000-0001-7258-8323"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Wen","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7258-8323","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060808777","display_name":"Yuhan Zhang","orcid":"https://orcid.org/0000-0003-1764-5043"},"institutions":[{"id":"https://openalex.org/I4210114608","display_name":"Songshan Lake Materials Laboratory","ror":"https://ror.org/020vtf184","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366","https://openalex.org/I19820366","https://openalex.org/I4210114608","https://openalex.org/I4210137180","https://openalex.org/I4210159876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhan Zhang","raw_affiliation_strings":["Dongguan Songshan Lake Central Hospital, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0003-1764-5043","affiliations":[{"raw_affiliation_string":"Dongguan Songshan Lake Central Hospital, Dongguan, China","institution_ids":["https://openalex.org/I4210114608"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101802990","display_name":"Guihua Wen","orcid":"https://orcid.org/0000-0002-9709-1126"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihua Wen","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060808777"],"corresponding_institution_ids":["https://openalex.org/I4210114608"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.1704,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5504631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"10","issue":"1","first_page":"627","last_page":"638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994000196456909,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994000196456909,"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":0.9954000115394592,"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/T10057","display_name":"Face and Expression Recognition","score":0.9951000213623047,"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/discriminative-model","display_name":"Discriminative model","score":0.8444637060165405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7932547330856323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7639920711517334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5895673036575317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5846778750419617},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5586482286453247},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5541985630989075},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5167204737663269},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49366769194602966},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4916761517524719},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48780563473701477},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4645084738731384},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.46300792694091797},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45644456148147583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09869572520256042}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8444637060165405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7932547330856323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7639920711517334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5895673036575317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5846778750419617},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5586482286453247},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5541985630989075},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5167204737663269},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49366769194602966},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4916761517524719},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48780563473701477},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4645084738731384},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.46300792694091797},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45644456148147583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09869572520256042},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-01157-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01157-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01157-6.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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e86c914e4e8f47df80ebd41b678404ea","is_oa":true,"landing_page_url":"https://doaj.org/article/e86c914e4e8f47df80ebd41b678404ea","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 10, Iss 1, Pp 627-638 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01157-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01157-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01157-6.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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1737602813","display_name":null,"funder_award_id":"62176095","funder_id":"https://openalex.org/F4320328380","funder_display_name":"Instituto Nacional de Ci\u00eancia e Tecnologia - Oceanografia Integrada e Usos M\u00faltiplos da Plataforma Continental e Oceano Adjacente - Centro de Oceanografia Integrada"},{"id":"https://openalex.org/G2937003916","display_name":null,"funder_award_id":"62176095","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/F4320328380","display_name":"Instituto Nacional de Ci\u00eancia e Tecnologia - Oceanografia Integrada e Usos M\u00faltiplos da Plataforma Continental e Oceano Adjacente - Centro de Oceanografia Integrada","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385409804.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1978357561","https://openalex.org/W2015466944","https://openalex.org/W2087016914","https://openalex.org/W2128873747","https://openalex.org/W2153635508","https://openalex.org/W2744885465","https://openalex.org/W2888169323","https://openalex.org/W2894906112","https://openalex.org/W2896736448","https://openalex.org/W2952841984","https://openalex.org/W2953199134","https://openalex.org/W2964109570","https://openalex.org/W2993165567","https://openalex.org/W2999025027","https://openalex.org/W3002125259","https://openalex.org/W3023212480","https://openalex.org/W3023427754","https://openalex.org/W3024488967","https://openalex.org/W3025966429","https://openalex.org/W3036020790","https://openalex.org/W3099486271","https://openalex.org/W3102628653","https://openalex.org/W3103913581","https://openalex.org/W3148595981","https://openalex.org/W3153988444","https://openalex.org/W3162907808","https://openalex.org/W3188069635","https://openalex.org/W4205529598","https://openalex.org/W4220983598","https://openalex.org/W4281613526","https://openalex.org/W4285310221","https://openalex.org/W4286751212","https://openalex.org/W4307123709","https://openalex.org/W4309583719","https://openalex.org/W4312606617"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"Abstract":[0],"Features":[1],"of":[2,64,93,160],"data":[3,14],"are":[4,15,124],"much":[5,46,118,154],"critical":[6],"to":[7,26,37,77,127],"the":[8,27,42,50,58,61,68,85,100,108,140,144,164],"classification.":[9],"However,":[10],"when":[11],"only":[12],"small":[13],"available,":[16],"suitable":[17],"features":[18,40,48,80,116,123,146],"can":[19,114,147],"not":[20,106,125],"be":[21,148],"easily":[22,24],"obtained,":[23],"leading":[25],"bad":[28],"classification":[29,52,141],"performance.":[30],"This":[31],"paper":[32],"propose":[33],"a":[34],"novel":[35],"approach":[36],"automatically":[38,78],"learns":[39],"from":[41,88,117],"irrelevant":[43,69],"domain":[44,87],"with":[45,143],"discriminative":[47,119],"for":[49,81],"given":[51],"task.":[53],"It":[54,113],"first":[55],"computes":[56],"as":[57],"learning":[59,75],"objectives":[60],"central":[62],"vectors":[63],"each":[65,82],"class":[66],"in":[67,84,97],"domain,":[70],"and":[71,134,157],"then":[72],"uses":[73],"machine":[74],"method":[76,95,104,152],"learn":[79,115],"sample":[83],"target":[86],"these":[89],"objectives.":[90],"The":[91],"merits":[92],"our":[94,103,151],"lie":[96],"that":[98,139],"unlike":[99,131],"transfer":[101],"learning,":[102],"does":[105],"require":[107],"similarity":[109],"between":[110],"two":[111],"domains.":[112,120],"Its":[121],"learned":[122,145],"limited":[126],"its":[128],"original":[129],"ones,":[130],"feature":[132,135],"selection":[133],"extraction":[136],"methods,":[137],"so":[138],"performance":[142],"better.":[149],"Finally,":[150],"is":[153],"general,":[155],"simple,":[156],"efficient.":[158],"Lots":[159],"experimental":[161],"results":[162],"validated":[163],"proposed":[165],"method.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}