{"id":"https://openalex.org/W3134726362","doi":"https://doi.org/10.1145/3437120.3437265","title":"Deep Learning Platforms in Food Recognition","display_name":"Deep Learning Platforms in Food Recognition","publication_year":2020,"publication_date":"2020-11-20","ids":{"openalex":"https://openalex.org/W3134726362","doi":"https://doi.org/10.1145/3437120.3437265","mag":"3134726362"},"language":"en","primary_location":{"id":"doi:10.1145/3437120.3437265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437120.3437265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"24th Pan-Hellenic Conference on Informatics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004862659","display_name":"Oumit Topouroglou","orcid":null},"institutions":[{"id":"https://openalex.org/I183898223","display_name":"International Hellenic University","ror":"https://ror.org/00708jp83","country_code":"GR","type":"education","lineage":["https://openalex.org/I183898223"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Oumit Topouroglou","raw_affiliation_strings":["International Hellenic University, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Hellenic University, Greece","institution_ids":["https://openalex.org/I183898223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022095485","display_name":"Toumai Chaita","orcid":null},"institutions":[{"id":"https://openalex.org/I183898223","display_name":"International Hellenic University","ror":"https://ror.org/00708jp83","country_code":"GR","type":"education","lineage":["https://openalex.org/I183898223"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Toumai Chaita","raw_affiliation_strings":["International Hellenic University, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Hellenic University, Greece","institution_ids":["https://openalex.org/I183898223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016380733","display_name":"Chairi Kiourt","orcid":"https://orcid.org/0000-0001-8501-8899"},"institutions":[{"id":"https://openalex.org/I4210156054","display_name":"Athena Research and Innovation Center In Information Communication & Knowledge Technologies","ror":"https://ror.org/0576by029","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210156054"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Chairi Kiourt","raw_affiliation_strings":["Athena-Research &amp; Innovation Center in Information Communication and Knowledge Technologies, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Athena-Research &amp; Innovation Center in Information Communication and Knowledge Technologies, Greece","institution_ids":["https://openalex.org/I4210156054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020956270","display_name":"Lefteris Moussiades","orcid":"https://orcid.org/0000-0003-0281-9231"},"institutions":[{"id":"https://openalex.org/I183898223","display_name":"International Hellenic University","ror":"https://ror.org/00708jp83","country_code":"GR","type":"education","lineage":["https://openalex.org/I183898223"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Lefteris Moussiades","raw_affiliation_strings":["International Hellenic University, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Hellenic University, Greece","institution_ids":["https://openalex.org/I183898223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.34689365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9969000220298767,"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/T12388","display_name":"Identification and Quantification in Food","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8014676570892334},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7041949033737183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6065812706947327},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6011267304420471},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6008991599082947},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5993152260780334},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5703182220458984},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.561083972454071},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44630688428878784},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4172084331512451},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07380008697509766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8014676570892334},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7041949033737183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6065812706947327},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6011267304420471},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6008991599082947},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5993152260780334},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5703182220458984},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.561083972454071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44630688428878784},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4172084331512451},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07380008697509766},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3437120.3437265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3437120.3437265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"24th Pan-Hellenic Conference on Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W1964856489","https://openalex.org/W2165698076","https://openalex.org/W2618530766","https://openalex.org/W2919115771","https://openalex.org/W2972610293","https://openalex.org/W2974140502"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2990774877","https://openalex.org/W3093339210"],"abstract_inverted_index":{"Image":[0],"content":[1,69],"prediction":[2],"with":[3],"novel":[4,56],"deep":[5,62],"learning":[6,63],"approaches":[7],"is":[8,24,115],"a":[9,25,55,94],"hot":[10],"research":[11],"topic":[12],"for":[13,70],"many":[14],"scientific":[15],"disciplines.":[16],"Image-based":[17],"food":[18,30,71,111],"types":[19],"recognition":[20],"and":[21,124],"their":[22,46],"ingredients":[23],"particularly":[26],"challenging":[27],"task,":[28],"since":[29],"dishes":[31],"are":[32],"typically":[33],"deformable":[34],"objects,":[35],"usually":[36],"including":[37],"complex":[38],"semantics,":[39],"which":[40],"makes":[41],"the":[42,77,80,84,98,103,108,119,125,128],"task":[43],"of":[44,83,97,110,122,127],"defining":[45],"structure":[47],"very":[48],"difficult.":[49],"In":[50,73],"this":[51],"paper":[52,114],"we":[53,92],"introduce":[54],"web-based":[57],"system":[58,78],"that":[59],"exploits":[60],"commercial":[61],"based":[64],"platforms":[65,85,100,123],"to":[66,75,86,101],"predict":[67],"image":[68],"recognition.":[72,112],"addition":[74],"that,":[76],"combines":[79],"individual":[81],"predictions":[82],"produce":[87],"more":[88],"accurate":[89],"results.":[90],"Also,":[91],"provide":[93],"short":[95],"assessment":[96],"chosen":[99],"determine":[102],"most":[104],"efficient":[105],"one,":[106],"in":[107],"domain":[109],"The":[113],"concluded":[116],"by":[117],"highlighting":[118],"key":[120],"features":[121],"advantages":[126],"new":[129],"presented":[130],"system.":[131]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
