{“id”:“https://openalex.org/W4391408874“,”doi“:”https://doi.org/10.1145/3627631.3627635“,”title“:“使用组合损失函数和特征转换改进的基于差异的域适配网络\u2731”,”display_name“:”使用组合损失功能和特征转换的改进的基于差别的域适配网络\u2331“,”publication_year“:2023,”publication_date“:”2023-12-15“,”ids“:{”openalex“:”https://openalex.org/W4391408874“,”doi“:”https://doi.org/10.1145/3627631.3627635“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1145/3627631.3627635“,”pdf_url“:null,”source“:null,”license“:null',”licence_id“:null,”version“:nuller,”is_accepted“:false,”is_published“:false},”type“:”article“,”type_crossref“:“procesdings-article”,”indexed_in“:[”crossref“],”open_access“:{”is_oa“:false,”oa_status“:”closed“,”oa_url”:null“,”any_repository_has_fulltext“:false}”,”authorships“:[{”author_position“:”first“,”作者“:{”id“:”https://openalex.org/A5039605270“,”display_name“:”Ashly Ajith“,”orcid“:”https://orcid.org/0009-0006-9479-9643},“机构”:[{“id”:https://openalex.org/I346547768“,”display_name“:”Aims社区学院“,”ror“:”https://ror.org/01g325629“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I346547768“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Ashly Ajith“,”raw _ afiliation_strings“:[“Amrita Vishwa Vidyapeetham,IN”],”从属关系“:[{”raw _affiliation_string“:”Amrita Vishwa VIdyapeettham,IN“,”institution_ids“:[https://openalex.org/I346547768“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5093834075“,”display_name“:”Ganesha Srinivas Damaraju“,”orcid“:”https://orcid.org/0009-0001-7452-307X},“机构”:[{“id”:https://openalex.org/I346547768“,”display_name“:”Aims社区学院“,”ror“:”https://ror.org/01g325629“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I346547768“]}],”国家“:[“美国”],”is_corresponding“:false,”raw_author_name“:”Ganesha Srinivas Damaraju“,”raw _ afiliation_strings“:[”Amrita Vishwa Vidyapeetham,IN“],”affiliations“:[{”raw _affiliation_string“:”Amrita-Vishwa-Vidyapetetham,IN“,”institution_ids“:[https://openalex.org/I346547768“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5067207797“,”display_name“:”G.Gopakumar“,”orcid“:”https://orcid.org/0000-0003-1559-5150},“机构”:[{“id”:https://openalex.org/I346547768“,”display_name“:”Aims社区学院“,”ror“:”https://ror.org/01g325629“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I346547768“]}],”国家“:[“美国”],”is_corresponding“:false,”raw_author_name“:”Gopakumar Gopalakrishna Pillai“,”raw _ afiliation_strings“:[”Amrita Vishwa Vidyapeetham,IN“],”affiliations“:[{”raw _affiliation_string“:”Amrita-Vishwa-Vidyapetetham,IN“,”institution_ids“:[https://openalex.org/I346547768“]}]}],”countries_distinct_count“:1,”institutions_disting_count”:1,“corresponding_author_ids”:[],”correspounding_institution_ids“:[]”,“apc_list”:null,”apc_payed“:null”,“fwci”:null,“has_fulltext”:false,“cited_by_count”:0,“cited_by_percentile_year”:{“min”:0、“max”:77},“biblio”:{“volume”:null,“issue”:空,“first_page”:空,“last_page”:空},“is_retracted“:false,”is_paratext“:fase,”primary_topic“:{”id“:”https://openalex.org/T11307“,”display_name“:”转移学习和领域适应的进展“,”score“:0.9993,”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“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T11307“,”display_name“:”转移学习和领域适应的进展“,”score“:0.9993,”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“:”物理科学“}},{”id“:”https://openalex.org/T12676“,”display_name“:”极限学习机器的理论与应用“,”score“:0.9722,”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“:”物理科学“}},{”id“:”https://openalex.org/T10036“,”display_name“:”计算机视觉和图像识别深度学习“,”score“:0.9444,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”field“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/domain-adaptation网站“,”display_name“:”域适配“,”score“:0.686494},{”id“:”https://openalex.org/keywords/transfer-learning网站“,”display_name“:”转移学习“,”score“:0.604789},{”id“:”https://openalex.org/keywords/representation-learning网站“,”display_name“:”表征学习“,”score“:0.549331},{”id“:”https://openalex.org/keywords/regression网站“,”display_name“:”回归“,”score“:0.545269},{”id“:”https://openalex.org/keywords/computer-vision网站“,”display_name“:”Computer Vision“,”score“:0.531705}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.6792915},{”id“:”https://openalex.org/C2776434776,“wikidata”:https://www.wikidata.org/wiki/Q19246213“,”display_name“:”域自适应“,”level“:3,”score“:0.61541134},{”id“:”https://openalex.org/C139807058,“wikidata”:https://www.wikidata.org/wiki/Q352374“,”display_name“:”适应(眼睛)“,”级别“:2,”分数“:0.5862522},{”id“:”https://openalex.org/C2776401178,“wikidata”:https://www.wikidata.org/wiki/Q12050496“,”display_name“:”功能(语言学)“,”级别“:2,”分数“:0.5369136},{”id“:”https://openalex.org/C36503486,“wikidata”:https://www.wikidata.org/wiki/Q11235244“,”display_name“:”域(数学分析)“,”level“:2,”score“:0.4786557},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.3756671},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.16103038},{”id“:”https://openalex.org/C15744967,“wikidata”:https://www.wikidata.org/wiki/Q9418“,”display_name“:”心理学“,”等级“:0,”分数“:0.06144163},{”id“:”https://openalex.org/C134306372,“wikidata”:https://www.wikidata.org/wiki/Q7754“,”display_name“:”数学分析“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C41895202,“wikidata”:https://www.wikidata.org/wiki/Q8162“,”display_name“:”语言学“,”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/C169760540,“wikidata”:https://www.wikidata.org/wiki/Q207011“,”display_name“:”Neuroscience“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C95623464,“wikidata”:https://www.wikidata.org/wiki/Q1096149“,”display_name“:”分类器(UML)“,”level“:2,”score“:0.0}],”mesh“:[],”locations_count“:1,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1145/3627631.3627635“,”pdf_url“:null,”source“:null,”license“:null:”license_id“:null,”version“:nuller,”is_accepted“:false,”is_published“:false}],”best_oa_location“:nul,”sustainable_development_goals“:[],”grants“:[],”datasets“:],”versions“:[]:”,“referenced_works_count”:19,“referrenced_works”:[”https://openalex.org/W1722318740","https://openalex.org/W2088252378","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W23436999976","https://openalex.org/W2478454054","https://openalex.org/W2584009249","https://openalex.org/W2963187488","https://openalex.org/W2963275094","https://openalex.org/W2964285681","https://openalex.org/W2964288524","https://openalex.org/W2998738957","https://openalex.org/W3006217902","https://openalex.org/W3118508671","https://openalex.org/W3181434681","https://openalex.org/W3195489116","https://openalex.org/W3198289984","https://openalex.org/W4226144843","https://openalex.org/W4252974092“],”related_works“:[”https://openalex.org/W4389474468","https://openalex.org/W4321649381","https://openalex.org/W4300172004","https://openalex.org/W4295929828","https://openalex.org/W4287890001","https://openalex.org/W3203792196","https://openalex.org/W3180787869","https://openalex.org/W3156096827","https://openalex.org/W2997645659","https://openalex.org/W2955455867“],”ngrams_url“:”https://api.openalex.org/works/W4391408874/ngrams网站“,”“abstract_inverted_index”:{“Domain”:[0],“shifts”:[1],“are”:[2],“a”:[3,10,12,16,23,29,37,47,69,79],“common”:[4],“problem”:[5],“in”:[6136],“computer”:[7],“vision.”:[8],“As”:[9],“result”:[11],“classifier”:[13,31],“trained”:[14,32],“on”:[15,22,36,43,81]116],“源”:[17,30],“域”:[18,57],“不能”:[19,40],“执行”:[20],“良好”:[21,42],“目标“:[24],”域。“:[25],”到期“:[26],”至“:[27,33,77132],”此“:[28],”区分“:[34],”基于“:[35,72,88],”特定“:[38],”分布“:[39],”分类“:[41],”新“:[44],”数据“:[45],”来自“:[46],”不同“:[48,56],”分布。“:[49],”In“:[50],”this“:[51137],”work“,”:[52],“we”:[53],“have”:[54,66104],“studed”:[55],“adaptation”:[58],“networks”:[59],“for”:[60],“their”:[61],“complexity”:[62],“and”:[63,65,95100114120129],“performance”:[64,80],“show”:[67105],“that”:[68106],“simple”:[70],“差异”:[71],“网络”:[73],“可以”:[74],“是”:[75],“修改”:[76],“product“:[78],”par“:[82],”with“:+83],”the“:[84107123],”more“:[85],”complex“:[86],”GAN“:[87],”networks[8]。“:[89],”此“:[90],”是“:[91],”已实现“:[92],”通过“:[93127],”拾取“:[94],”选择性“:[96],”组合“:[97],”损失“:[98],”函数“:[99],”预处理“:[101],”转换。“:[102],”我们“:[103],”提议“:[108],”方法“:[109],”已经“:[110],”生产“:[111],”准确度“:[112126],”77.62%“:[113],”81.67%“:[115],”流行“:[117],”数据集“:[118],”Office-31“:[119],”MNIST/MNIST-M“:[121],”超越“:[122],”最高“:[124],”报告“:[125],”6.47%“:[128],“16.67%”:[130],“比较”:[131],“开创性”:[133],“论文”:[134],“[16][1]“:[135],”字段。“:[138],”1“:[139]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W4391408874“,”counts_by_year“:[],”updated_date“:”2024-06-19T23:42:45.549588“,”created_date:“2024-02-01”}“