{"id":"https://openalex.org/W2964211288","doi":"https://doi.org/10.3233/978-1-61499-918-8-365","title":"CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network","display_name":"CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2964211288","doi":"https://doi.org/10.3233/978-1-61499-918-8-365","mag":"2964211288"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-918-8-365","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-918-8-365","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.12081","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sarker Md. Mostafa Kamal","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sarker Md. Mostafa Kamal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076681995","display_name":"Jabreel Mohammed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jabreel Mohammed","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085126924","display_name":"Hatem A. Rashwan","orcid":"https://orcid.org/0000-0001-5421-1637"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rashwan Hatem A.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Banu Syeda Furruka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Banu Syeda Furruka","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Singh Vivek Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singh Vivek Kumar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770728","display_name":"Antonio Moreno","orcid":"https://orcid.org/0000-0003-3945-2314"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moreno Antonio","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083867344","display_name":"Petia Radeva","orcid":"https://orcid.org/0000-0003-0047-5172"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Radeva Petia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5036512820","display_name":"Puig Domenec","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Puig Domenec","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24174594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11925","display_name":"Culinary Culture and Tourism","score":0.9519000053405762,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11925","display_name":"Culinary Culture and Tourism","score":0.9519000053405762,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.628233015537262},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5827252864837646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5343126058578491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4472367763519287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41073089838027954},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20744121074676514},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13265588879585266},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0797167420387268}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.628233015537262},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5827252864837646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5343126058578491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4472367763519287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41073089838027954},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20744121074676514},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13265588879585266},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0797167420387268}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-918-8-365","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-918-8-365","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:1805.12081","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.12081","pdf_url":"https://arxiv.org/pdf/1805.12081","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1805.12081","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.12081","pdf_url":"https://arxiv.org/pdf/1805.12081","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Diversity":[0],"of":[1,10,21,25,63],"food":[2,23,37,117,125],"and":[3,30,40,147,153],"its":[4,31],"attributes":[5],"represents":[6],"the":[7,19,28,76,98,123,133,158],"culinary":[8],"habits":[9],"peoples":[11],"from":[12,58,79,122],"different":[13,68,80],"countries.":[14],"Thus,":[15],"this":[16,110],"paper":[17],"addresses":[18],"problem":[20],"identifying":[22],"culture":[24],"people":[26],"around":[27],"world":[29],"flavor":[32],"by":[33],"classifying":[34],"two":[35],"main":[36],"attributes,":[38,118],"cuisine":[39],"flavor.":[41],"A":[42],"deep":[43],"learning":[44],"model":[45,99,129],"based":[46,88],"on":[47,89,132,151],"multi-scale":[48,64],"convotuional":[49],"networks":[50],"is":[51,71,94,130],"proposed":[52,143],"for":[53,74,105,116],"extracting":[54],"more":[55],"accurate":[56],"features":[57,77],"input":[59],"images.":[60],"The":[61,137],"aggregation":[62],"convolution":[65],"layers":[66],"with":[67],"kernel":[69],"size":[70],"also":[72],"used":[73,95],"weighting":[75],"results":[78,139],"scales.":[81],"In":[82],"addition,":[83],"a":[84,113],"joint":[85],"loss":[86],"function":[87],"Negative":[90],"Log":[91],"Likelihood":[92],"(NLL)":[93],"to":[96,101],"fit":[97],"probability":[100],"multi":[102],"labeled":[103],"classes":[104],"multi-modal":[106],"classification":[107],"task.":[108],"Furthermore,":[109],"work":[111],"provides":[112],"new":[114],"dataset":[115],"so-called":[119],"Yummly48K,":[120],"extracted":[121],"popular":[124],"website,":[126],"Yummly.":[127],"Our":[128],"assessed":[131],"constructed":[134],"Yummly48K":[135],"dataset.":[136],"experimental":[138],"show":[140],"that":[141],"our":[142],"method":[144],"yields":[145],"65%":[146],"62%":[148],"average":[149],"F1score":[150],"validation":[152],"test":[154],"set":[155],"which":[156],"outperforming":[157],"state-of-the-art":[159],"models.":[160]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2022-09-01T00:00:00"}
