{"id":"https://openalex.org/W3127276778","doi":"https://doi.org/10.1109/bibm49941.2020.9313114","title":"The Similar Sparse Domain Adaptation Illustrated by the case of TCM Tongue Inspection","display_name":"The Similar Sparse Domain Adaptation Illustrated by the case of TCM Tongue Inspection","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3127276778","doi":"https://doi.org/10.1109/bibm49941.2020.9313114","mag":"3127276778"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5053156190","display_name":"Zhikui Chen","orcid":"https://orcid.org/0000-0002-9209-2189"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhikui Chen","raw_affiliation_strings":["School of Software Technology, The Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, The Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112748339","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0002-2266-2465"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["School of Software Technology, The Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, The Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076730801","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0002-4985-9911"},"institutions":[{"id":"https://openalex.org/I191996457","display_name":"Dalian Medical University","ror":"https://ror.org/04c8eg608","country_code":"CN","type":"education","lineage":["https://openalex.org/I191996457"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["1st Hospital of Dalian Medical University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"1st Hospital of Dalian Medical University, Dalian, China","institution_ids":["https://openalex.org/I191996457"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053156190"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.2667258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1520","last_page":"1525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11316","display_name":"Mycobacterium research and diagnosis","score":0.9563000202178955,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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":0.761077880859375},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6888505816459656},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5584396123886108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5496118068695068},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5031787753105164},{"id":"https://openalex.org/keywords/subnet","display_name":"Subnet","score":0.45467859506607056},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4494582414627075},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.419822633266449},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4103080928325653},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0922684371471405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761077880859375},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6888505816459656},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5584396123886108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5496118068695068},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5031787753105164},{"id":"https://openalex.org/C21099817","wikidata":"https://www.wikidata.org/wiki/Q7631721","display_name":"Subnet","level":2,"score":0.45467859506607056},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4494582414627075},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.419822633266449},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4103080928325653},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0922684371471405},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.4699999988079071,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2279098554","https://openalex.org/W2612445135","https://openalex.org/W2617062309","https://openalex.org/W2797591735","https://openalex.org/W2902683410","https://openalex.org/W2913977570","https://openalex.org/W2914508706","https://openalex.org/W2963578416","https://openalex.org/W2963813662","https://openalex.org/W2982204955","https://openalex.org/W3005023344","https://openalex.org/W3008029805","https://openalex.org/W3008805929","https://openalex.org/W3009742919"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"More":[0],"attention":[1],"is":[2,24,87,95,115,135,152],"paid":[3],"to":[4,117,137,187],"personal":[5],"health":[6],"accompanying":[7],"by":[8,128],"the":[9,14,22,48,59,69,91,98,129,133,145,159],"development":[10],"of":[11,16,32,37,61,97],"society":[12],"and":[13,50,102,122,175,181,189],"change":[15],"lifestyle.":[17],"Not":[18],"limited":[19],"in":[20,35,53,73,89,106,142,165],"disease,":[21],"sub-health":[23,56],"bedeviling":[25],"humanity":[26],"more":[27],"generally.":[28],"An":[29],"increasing":[30],"number":[31],"people":[33],"go":[34],"quest":[36],"Traditional":[38],"Chinese":[39],"Medicine":[40],"(TCM)":[41],"for":[42,195],"life":[43],"quality,":[44],"since":[45],"TCM":[46,75,107],"achieves":[47],"significant":[49],"curative":[51],"effectiveness":[52],"recuperating":[54],"certain":[55],"conditions.":[57],"However,":[58],"lack":[60],"clinical":[62,161],"data":[63,162,173],"poses":[64],"a":[65,80,111],"vast":[66],"challenge":[67],"on":[68,158,191],"emerging":[70],"deep-learning-based":[71],"methods":[72,101],"modeling":[74,90],"diagnosis.":[76,109],"In":[77],"this":[78],"paper,":[79],"Similar":[81],"Sparse":[82],"Domain":[83],"Adaptation":[84],"(SSDA)":[85],"method":[86],"proposed":[88],"tongue":[92],"inspection,":[93],"which":[94,183],"one":[96],"four":[99],"diagnostic":[100],"plays":[103],"important":[104],"roles":[105],"primary":[108],"First,":[110],"similar":[112],"domain":[113],"adaptation":[114],"introduced":[116],"transfer":[118],"necessary":[119],"knowledge":[120],"efficiently":[121],"overcome":[123],"insufficient":[124],"data.":[125],"Then,":[126],"inspired":[127],"Lottery":[130],"Ticket":[131],"hypothesis,":[132],"network":[134,151],"pruned":[136],"generate":[138],"sparse":[139,150],"subnet":[140],"using":[141],"adaptation.":[143],"Finally,":[144],"model":[146,169],"with":[147],"two":[148],"combined":[149],"designed.":[153],"Extensive":[154],"experiments":[155],"are":[156],"conducted":[157],"real":[160],"set":[163],"collected":[164],"Dalian,":[166],"China.":[167],"Proposed":[168],"uses":[170],"fewer":[171],"training":[172],"samples":[174],"parameters,":[176],"while":[177],"consuming":[178],"less":[179],"power":[180],"memory,":[182],"make":[184],"it":[185],"easier":[186],"store":[188],"run":[190],"low-power":[192],"hardware":[193],"systems":[194],"widely":[196],"promoting.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}