{"id":"https://openalex.org/W4389542611","doi":"https://doi.org/10.1109/embc40787.2023.10340620","title":"Automatic Chinese Food recognition based on a stacking fusion model","display_name":"Automatic Chinese Food recognition based on a stacking fusion model","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4389542611","doi":"https://doi.org/10.1109/embc40787.2023.10340620","pmid":"https://pubmed.ncbi.nlm.nih.gov/38083522"},"language":"en","primary_location":{"id":"doi:10.1109/embc40787.2023.10340620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc40787.2023.10340620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101277682","display_name":"Bokun Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bokun Fan","raw_affiliation_strings":["Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China,518055","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China,518055","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651367","display_name":"Weiqi Li","orcid":"https://orcid.org/0009-0004-8051-7006"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqi Li","raw_affiliation_strings":["Southern University of Science and Technology,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Shenzhen,China,518055","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342716","display_name":"Dong Liang","orcid":"https://orcid.org/0000-0002-6712-6631"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Dong","raw_affiliation_strings":["Hunan University,Changsha,China,410082"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101759430","display_name":"Jingzhen Li","orcid":"https://orcid.org/0000-0003-2807-424X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzhen Li","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences,Research Centre for Medical Robotics and Minimally Invasive Surgical Devices,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences,Research Centre for Medical Robotics and Minimally Invasive Surgical Devices,Shenzhen,China,518055","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059828234","display_name":"Zedong Nie","orcid":"https://orcid.org/0000-0002-6079-9964"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zedong Nie","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences,Research Centre for Medical Robotics and Minimally Invasive Surgical Devices,Shenzhen,China,518055"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences,Research Centre for Medical Robotics and Minimally Invasive Surgical Devices,Shenzhen,China,518055","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2023","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9886000156402588,"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":0.9886000156402588,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9840999841690063,"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/T10866","display_name":"Nutritional Studies and Diet","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/deep-learning","display_name":"Deep learning","score":0.7932993173599243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7843912839889526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7165392637252808},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5959346890449524},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5368507504463196},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42710989713668823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09447735548019409}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7932993173599243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7843912839889526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7165392637252808},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5959346890449524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5368507504463196},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42710989713668823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09447735548019409},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014675","descriptor_name":"Vegetables","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014675","descriptor_name":"Vegetables","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014675","descriptor_name":"Vegetables","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014675","descriptor_name":"Vegetables","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014675","descriptor_name":"Vegetables","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc40787.2023.10340620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc40787.2023.10340620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:38083522","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38083522","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338440","display_name":"HORIZON EUROPE Health","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W1030521295","https://openalex.org/W1964856489","https://openalex.org/W2069878070","https://openalex.org/W2109214277","https://openalex.org/W2149600041","https://openalex.org/W2172169205","https://openalex.org/W2194775991","https://openalex.org/W2471640506","https://openalex.org/W2549139847","https://openalex.org/W2613010453","https://openalex.org/W2618530766","https://openalex.org/W2891635869","https://openalex.org/W2961604594","https://openalex.org/W2963446712","https://openalex.org/W2972869264","https://openalex.org/W2993219986","https://openalex.org/W3109540778","https://openalex.org/W3155557891","https://openalex.org/W3164426953","https://openalex.org/W3197028871"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127"],"abstract_inverted_index":{"With":[0],"commercialization":[1],"of":[2,21,44,80,116,137,156,163],"deep":[3,83],"learning":[4,84],"models,":[5],"daily":[6],"precision":[7],"dietary":[8],"record":[9],"based":[10,110],"on":[11,24,86,111],"images":[12,56],"from":[13,35],"smartphones":[14],"becomes":[15],"possible.":[16],"This":[17,73],"study":[18,74,151],"took":[19],"advantage":[20],"Deep-learning":[22,32],"techniques":[23],"visual":[25],"recognition":[26,118],"tasks":[27],"and":[28,68,97,185],"proposed":[29],"a":[30,106,125,171],"big-data-driven":[31],"model":[33,130],"regressing":[34],"food":[36,117],"images.":[37],"We":[38,123],"established":[39],"the":[40,77,114,120,128,133,154,161],"largest":[41],"data":[42],"set":[43],"Chinese":[45,164],"dishes":[46,165],"to":[47,92,131,140,178],"date,":[48],"named":[49],"CNFOOD-241.":[50],"It":[51],"contained":[52],"more":[53],"than":[54],"190,000":[55],"with":[57],"241":[58],"categories,":[59],"covering":[60],"Staple":[61],"food,":[62],"meat,":[63],"vegetarian":[64],"diet,":[65,181],"mixed":[66],"meat":[67],"vegetables,":[69],"soups,":[70],"dessert":[71],"category.":[72],"also":[75],"compares":[76],"prediction":[78],"results":[79],"three":[81,134],"popular":[82],"models":[85,136],"this":[87,103],"dataset,":[88],"ResNeXt101_32x32d":[89],"achieving":[90],"up":[91],"82.05%":[93],"for":[94,99,119,147],"top-1":[95,148],"accuracy":[96,144],"97.13%":[98],"top-5":[100],"accuracy.":[101],"Besides,":[102],"paper":[104],"uses":[105],"multi-model":[107],"fusion":[108],"method":[109],"stacking":[112],"in":[113,160,174],"field":[115],"first":[121],"time.":[122],"built":[124],"meta-learner":[126],"after":[127],"base":[129,135],"integrate":[132],"different":[138],"architectures":[139],"improve":[141],"robustness.":[142],"The":[143],"achieves":[145],"82.88%":[146],"accuracy.Clinical":[149],"Relevance-This":[150],"proves":[152],"that":[153],"application":[155],"artificial":[157],"intelligence":[158],"technology":[159],"identification":[162],"is":[166],"feasible,":[167],"which":[168],"can":[169],"play":[170],"positive":[172],"role":[173],"people":[175],"who":[176],"need":[177],"control":[179],"their":[180],"such":[182],"as":[183],"diabetes":[184],"obesity.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}