{"id":"https://openalex.org/W2562404687","doi":"https://doi.org/10.1109/icme.2017.8019347","title":"An automated CNN recommendation system for image classification tasks","display_name":"An automated CNN recommendation system for image classification tasks","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2562404687","doi":"https://doi.org/10.1109/icme.2017.8019347","mag":"2562404687"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2017.8019347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","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/A5103227553","display_name":"Shuzhe Wang","orcid":"https://orcid.org/0000-0003-1281-4370"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. Wang","raw_affiliation_strings":["Fujitsu R&D Center, Beijing"],"affiliations":[{"raw_affiliation_string":"Fujitsu R&D Center, Beijing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318678","display_name":"Li Sun","orcid":"https://orcid.org/0000-0002-2957-4214"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Sun","raw_affiliation_strings":["Fujitsu R&D Center, Beijing"],"affiliations":[{"raw_affiliation_string":"Fujitsu R&D Center, Beijing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380550","display_name":"Fan Wang","orcid":"https://orcid.org/0000-0003-0100-0320"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"W. Fan","raw_affiliation_strings":["Fujitsu R&D Center, Beijing"],"affiliations":[{"raw_affiliation_string":"Fujitsu R&D Center, Beijing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327195","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0002-0967-4859"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Sun","raw_affiliation_strings":["Fujitsu R&D Center, Beijing"],"affiliations":[{"raw_affiliation_string":"Fujitsu R&D Center, Beijing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031845777","display_name":"Satoshi Naoi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Naoi","raw_affiliation_strings":["Fujitsu R&D Center, Beijing"],"affiliations":[{"raw_affiliation_string":"Fujitsu R&D Center, Beijing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112237248","display_name":"K. Shirahata","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Shirahata","raw_affiliation_strings":["Fujitsu Laboratories Ltd"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Ltd","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015245768","display_name":"Takuya Fukagai","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Fukagai","raw_affiliation_strings":["Fujitsu Laboratories Ltd"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Ltd","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079561998","display_name":"Y. Tomita","orcid":"https://orcid.org/0000-0003-0450-521X"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Tomita","raw_affiliation_strings":["Fujitsu Laboratories Ltd"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Ltd","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006634908","display_name":"Atsushi Ike","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. Ike","raw_affiliation_strings":["Fujitsu Laboratories Ltd"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Ltd","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015518638","display_name":"Tatsunori Hashimoto","orcid":"https://orcid.org/0000-0003-0521-5855"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Hashimoto","raw_affiliation_strings":["Fujitsu Laboratories Ltd"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Ltd","institution_ids":["https://openalex.org/I2252096349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5103227553"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7395,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.79885298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"283","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8582210540771484},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7377434968948364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6488087177276611},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6191209554672241},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6051228642463684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5744814872741699},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5206388831138611},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.44252780079841614},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4292204976081848},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38538461923599243}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8582210540771484},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7377434968948364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6488087177276611},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6191209554672241},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6051228642463684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5744814872741699},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5206388831138611},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.44252780079841614},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4292204976081848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38538461923599243},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2017.8019347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1836465849","https://openalex.org/W1978964824","https://openalex.org/W2002632662","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2114503608","https://openalex.org/W2141125852","https://openalex.org/W2525594193","https://openalex.org/W2949117887","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W3010730661","https://openalex.org/W1564680838","https://openalex.org/W2003125260"],"abstract_inverted_index":{"Nowadays":[0],"the":[1,14,17,81,84,88,92,98,101,105,113,120,137],"CNN":[2,18,68,93,107],"is":[3,20,26,77,122],"widely":[4],"used":[5],"in":[6],"practical":[7],"applications":[8],"for":[9,29,34,43,71],"image":[10,72],"classification":[11,73,85,89],"task.":[12,74],"However":[13],"design":[15],"of":[16,36,51,83,91,119],"model":[19,42,94,108,130],"very":[21,27,123,141],"professional":[22],"work":[23],"and":[24,87,109,143],"which":[25,110],"difficult":[28],"ordinary":[30],"users.":[31],"Besides,":[32],"even":[33],"experts":[35],"CNN,":[37],"to":[38,60,79],"select":[39],"an":[40,66],"optimal":[41,106],"specific":[44],"task":[45,86,114],"may":[46],"still":[47],"need":[48,128],"a":[49],"lot":[50],"time":[52],"(to":[53],"train":[54],"many":[55],"different":[56],"models).":[57],"In":[58],"order":[59],"solve":[61],"this":[62],"problem,":[63],"we":[64,126],"proposed":[65],"automated":[67],"recommendation":[69,117],"system":[70,76,102,121],"Our":[75],"able":[78],"evaluate":[80],"complexity":[82],"ability":[90],"precisely.":[95],"By":[96],"using":[97],"evaluation":[99,138],"results,":[100],"can":[103,111],"recommend":[104],"match":[112],"perfectly.":[115],"The":[116,132],"process":[118],"fast":[124],"since":[125],"don't":[127],"any":[129],"training.":[131],"experiment":[133],"results":[134],"proved":[135],"that":[136],"methods":[139],"are":[140],"accurate":[142],"reliable.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
