{"id":"https://openalex.org/W4401387012","doi":"https://doi.org/10.1109/access.2024.3439870","title":"Pairwise Similarity for Domain Adaptation","display_name":"Pairwise Similarity for Domain Adaptation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401387012","doi":"https://doi.org/10.1109/access.2024.3439870"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3439870","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3439870","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3439870","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106603023","display_name":"Xiaoshun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoshun Wang","raw_affiliation_strings":["Huzhou Key Laboratory of Green Energy Materials and Battery Cascade Utilization, School of Intelligent Manufacturing, Huzhou College, Huzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0002-8480-5465","affiliations":[{"raw_affiliation_string":"Huzhou Key Laboratory of Green Energy Materials and Battery Cascade Utilization, School of Intelligent Manufacturing, Huzhou College, Huzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113324049","display_name":"Sibei Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sibei Luo","raw_affiliation_strings":["Huzhou Key Laboratory of Green Energy Materials and Battery Cascade Utilization, School of Intelligent Manufacturing, Huzhou College, Huzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huzhou Key Laboratory of Green Energy Materials and Battery Cascade Utilization, School of Intelligent Manufacturing, Huzhou College, Huzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3018263800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3018263800"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09963258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"109184","last_page":"109196"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9520999789237976,"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/T12047","display_name":"Viral Infections and Vectors","score":0.9355000257492065,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7701485753059387},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7564538717269897},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7249470949172974},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6618300080299377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5259499549865723},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5078123211860657},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5042656660079956},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.47040897607803345},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.454512357711792},{"id":"https://openalex.org/keywords/structural-similarity","display_name":"Structural similarity","score":0.44266802072525024},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4324090778827667},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.420975923538208},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.420148104429245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3866211771965027},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28658556938171387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15835222601890564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7701485753059387},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7564538717269897},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7249470949172974},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6618300080299377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5259499549865723},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5078123211860657},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5042656660079956},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.47040897607803345},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.454512357711792},{"id":"https://openalex.org/C139489369","wikidata":"https://www.wikidata.org/wiki/Q770846","display_name":"Structural similarity","level":2,"score":0.44266802072525024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4324090778827667},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.420975923538208},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.420148104429245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3866211771965027},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28658556938171387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15835222601890564},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3439870","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3439870","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fb54b802b7b94b84b25f7b5594473a82","is_oa":true,"landing_page_url":"https://doaj.org/article/fb54b802b7b94b84b25f7b5594473a82","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":"IEEE Access, Vol 12, Pp 109184-109196 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3439870","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3439870","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6100565534","display_name":null,"funder_award_id":"2022GZ19","funder_id":"https://openalex.org/F4320329836","funder_display_name":"Chuzhou Science and Technology Program"}],"funders":[{"id":"https://openalex.org/F4320329836","display_name":"Chuzhou Science and Technology Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W2108598243","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2627183927","https://openalex.org/W2766897166","https://openalex.org/W2963693396","https://openalex.org/W2964575823","https://openalex.org/W3002879391","https://openalex.org/W3021632667","https://openalex.org/W3047518573","https://openalex.org/W3090414386","https://openalex.org/W3119745626","https://openalex.org/W3153166695","https://openalex.org/W3184301605","https://openalex.org/W3196228261","https://openalex.org/W3199533127","https://openalex.org/W3200441932","https://openalex.org/W3205907427","https://openalex.org/W4205762410","https://openalex.org/W4206998227","https://openalex.org/W4220868778","https://openalex.org/W4280619159","https://openalex.org/W4280635247","https://openalex.org/W4281687763","https://openalex.org/W4289643995","https://openalex.org/W4292387244","https://openalex.org/W4292411046","https://openalex.org/W4298111403","https://openalex.org/W4308385509","https://openalex.org/W4309208777","https://openalex.org/W4312683352","https://openalex.org/W4313830005","https://openalex.org/W4315645290","https://openalex.org/W4319300563","https://openalex.org/W4320491717","https://openalex.org/W4322632459","https://openalex.org/W4377235163","https://openalex.org/W4377820232","https://openalex.org/W4381951869","https://openalex.org/W4385695950","https://openalex.org/W4385757658","https://openalex.org/W4386283466","https://openalex.org/W4386524186","https://openalex.org/W4386959728","https://openalex.org/W4387503912","https://openalex.org/W4388598941","https://openalex.org/W4389613535","https://openalex.org/W4390861549","https://openalex.org/W4391305490","https://openalex.org/W4391482030","https://openalex.org/W4391581811","https://openalex.org/W4391955607","https://openalex.org/W4392309226","https://openalex.org/W4393950390","https://openalex.org/W4395027630","https://openalex.org/W6688325169","https://openalex.org/W6713955831","https://openalex.org/W6746171285","https://openalex.org/W6846602556"],"related_works":["https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W4292296636","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W4320802053","https://openalex.org/W1963790256","https://openalex.org/W2090768198"],"abstract_inverted_index":{"The":[0],"application":[1],"of":[2,10,42,76,84,117,164],"the":[3,8,20,40,73,81,114,162,168,183],"domain":[4,17,30,37,203],"adaptation":[5,31,204],"technique":[6],"enables":[7],"resolution":[9],"classification":[11,115],"challenges":[12],"in":[13,47,60],"an":[14,57],"unlabeled":[15],"target":[16],"by":[18,101],"leveraging":[19],"labeled":[21],"information":[22,75,177],"from":[23],"source":[24],"domains.":[25],"Nevertheless,":[26],"prior":[27],"approaches":[28],"to":[29,80,95,111,140,153,173],"have":[32,125,195],"primarily":[33],"concentrated":[34],"on":[35,72,189],"global":[36],"adaptation,":[38],"neglecting":[39],"inclusion":[41],"class-specific":[43],"data,":[44,87],"thereby":[45],"resulting":[46],"substandard":[48],"performance":[49],"when":[50],"transferring":[51],"knowledge.":[52],"Recently,":[53],"there":[54],"has":[55,89],"been":[56,90],"increasing":[58],"interest":[59],"employing":[61],"similarity":[62,107,147,151,166],"measures":[63,152],"for":[64,92,133],"inter-domain":[65,97,156],"and":[66,98,157],"intra-domain":[67,99,158],"alignment,":[68],"focusing":[69],"more":[70],"meticulously":[71],"fine-grained":[74],"samples.":[77,119],"However,":[78],"due":[79],"inherent":[82],"complexity":[83],"multi-class":[85],"image":[86],"it":[88],"challenging":[91],"existing":[93],"studies":[94],"address":[96,121],"differences":[100],"assigning":[102],"weights":[103,148],"through":[104],"a":[105,127,138],"single":[106],"measure,":[108],"thus":[109],"failing":[110],"effectively":[112,181],"mitigate":[113],"issues":[116],"dissimilar":[118],"To":[120],"this":[122,141],"challenge,":[123],"we":[124,144],"introduced":[126],"new":[128],"method,":[129],"named":[130],"Pairwise":[131],"Similarity":[132],"Domain":[134],"Adaptation":[135],"(PSDA),":[136],"as":[137],"solution":[139],"problem.":[142],"Specifically,":[143],"allocate":[145],"different":[146,165],"under":[149,178],"various":[150],"enhance":[154],"both":[155,179],"alignment.":[159],"By":[160],"integrating":[161],"characteristics":[163],"weights,":[167],"network":[169],"model":[170],"is":[171],"able":[172],"complementarily":[174],"learn":[175],"feature":[176],"modes,":[180],"improving":[182],"model\u2019s":[184],"adaptability.":[185],"Comprehensive":[186],"experiments":[187],"conducted":[188],"four":[190],"widely":[191],"used":[192],"public":[193],"datasets":[194],"demonstrated":[196],"that":[197],"our":[198],"method":[199],"surpasses":[200],"many":[201,210],"state-of-the-art":[202],"approaches,":[205],"showing":[206],"significant":[207],"improvements":[208],"over":[209],"advanced":[211],"methods.":[212]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}