{"id":"https://openalex.org/W2897824080","doi":"https://doi.org/10.1109/icci-cc.2018.8482089","title":"Neighbouring Proximity - An Key Impact Factor of Deep Machine Learning","display_name":"Neighbouring Proximity - An Key Impact Factor of Deep Machine Learning","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897824080","doi":"https://doi.org/10.1109/icci-cc.2018.8482089","mag":"2897824080"},"language":"en","primary_location":{"id":"doi:10.1109/icci-cc.2018.8482089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2018.8482089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","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/A5037501665","display_name":"Hongyuan Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I151934421","display_name":"University of Northern British Columbia","ror":"https://ror.org/025wzwv46","country_code":"CA","type":"education","lineage":["https://openalex.org/I151934421"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hongyuan Shi","raw_affiliation_strings":["Department of Computer Science, University of Northern British Columbia, Prince George, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Northern British Columbia, Prince George, BC, Canada","institution_ids":["https://openalex.org/I151934421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010333333","display_name":"Yunke Li","orcid":"https://orcid.org/0000-0001-9901-3896"},"institutions":[{"id":"https://openalex.org/I151934421","display_name":"University of Northern British Columbia","ror":"https://ror.org/025wzwv46","country_code":"CA","type":"education","lineage":["https://openalex.org/I151934421"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yunke Li","raw_affiliation_strings":["Department of Computer Science, University of Northern British Columbia, Prince George, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Northern British Columbia, Prince George, BC, Canada","institution_ids":["https://openalex.org/I151934421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081605693","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0001-6369-3543"},"institutions":[{"id":"https://openalex.org/I151934421","display_name":"University of Northern British Columbia","ror":"https://ror.org/025wzwv46","country_code":"CA","type":"education","lineage":["https://openalex.org/I151934421"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["Department of Computer Science, University of Northern British Columbia, Prince George, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Northern British Columbia, Prince George, BC, Canada","institution_ids":["https://openalex.org/I151934421"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100688754","display_name":"Fan Jiang","orcid":"https://orcid.org/0000-0002-1641-5804"},"institutions":[{"id":"https://openalex.org/I151934421","display_name":"University of Northern British Columbia","ror":"https://ror.org/025wzwv46","country_code":"CA","type":"education","lineage":["https://openalex.org/I151934421"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fan Jiang","raw_affiliation_strings":["Department of Computer Science, University of Northern British Columbia, Prince George, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Northern British Columbia, Prince George, BC, Canada","institution_ids":["https://openalex.org/I151934421"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151934421"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12124681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"600","last_page":"605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/deep-learning","display_name":"Deep learning","score":0.8737226724624634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7905986905097961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7606732249259949},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.558826208114624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5538446307182312},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5479046702384949},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.4117528796195984}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8737226724624634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7905986905097961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7606732249259949},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.558826208114624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5538446307182312},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5479046702384949},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.4117528796195984},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icci-cc.2018.8482089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2018.8482089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1800356822","https://openalex.org/W1815076433","https://openalex.org/W1934184906","https://openalex.org/W2095705004","https://openalex.org/W2105548266","https://openalex.org/W2107878631","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2128659236","https://openalex.org/W2136922672","https://openalex.org/W2141125852","https://openalex.org/W2163605009","https://openalex.org/W2184852195","https://openalex.org/W2253535400","https://openalex.org/W2384495648","https://openalex.org/W2950621961","https://openalex.org/W3118608800","https://openalex.org/W4231109964","https://openalex.org/W4302375066","https://openalex.org/W6626481562","https://openalex.org/W6638545294","https://openalex.org/W6674330103","https://openalex.org/W6679470320","https://openalex.org/W6684191040","https://openalex.org/W6686418764","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W4375867731","https://openalex.org/W3151736118","https://openalex.org/W4362495644","https://openalex.org/W2611989081","https://openalex.org/W2962780935","https://openalex.org/W4287236333","https://openalex.org/W4387896177","https://openalex.org/W2140798747","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Deep":[0],"Learning":[1],"has":[2,11],"become":[3],"increasingly":[4],"popular":[5],"since":[6],"Alexnet":[7],"was":[8],"proposed.":[9],"It":[10],"been":[12],"applied":[13],"to":[14],"many":[15],"domains":[16],"such":[17],"as":[18,86],"pattern":[19],"recognition,":[20],"computer":[21],"vision,":[22],"machine":[23],"translation,":[24],"and":[25,54],"natural":[26],"language":[27],"processing.":[28],"While":[29],"the":[30,39,73,77,100],"advantages":[31,64],"of":[32,41,56,79,94,123],"deep":[33,59,80,112,130,145],"learning":[34,60,81,113,131],"methods":[35,61,82,105,132,147],"are":[36,43,107,133],"wildly":[37],"accepted,":[38],"limitations":[40],"them":[42],"not":[44,90,127],"well":[45],"researched.":[46],"In":[47],"this":[48,141],"paper,":[49],"we":[50],"present":[51],"our":[52],"study":[53],"analysis":[55],"cases":[57],"where":[58,120],"lose":[62],"their":[63],"over":[65],"traditional":[66,96,103,138,151],"methods.":[67,98,114,139,153],"Our":[68],"experiments":[69],"show":[70],"that,":[71,117],"when":[72],"neighbouring":[74,121],"proximity":[75],"disappears,":[76],"accuracy":[78],"is":[83],"at":[84],"most":[85],"good":[87],"as,":[88],"if":[89],"worse":[91],"than,":[92],"that":[93,102,144],"advanced":[95],"shallow":[97,104,152],"As":[99],"resources":[101],"needed":[106],"always":[108],"much":[109],"less":[110,135],"than":[111,137],"We":[115],"conclude":[116],"in":[118],"situations":[119],"elements":[122],"input":[124],"samples":[125],"do":[126],"have":[128],"proximity,":[129],"significantly":[134],"powerful":[136],"Furthermore,":[140],"clearly":[142],"indicates":[143],"structure":[146],"cannot":[148],"fully":[149],"replace":[150]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}