{"id":"https://openalex.org/W2736153020","doi":"https://doi.org/10.1186/s13640-017-0197-y","title":"An evolutionary classifier for steel surface defects with small sample set","display_name":"An evolutionary classifier for steel surface defects with small sample set","publication_year":2017,"publication_date":"2017-07-17","ids":{"openalex":"https://openalex.org/W2736153020","doi":"https://doi.org/10.1186/s13640-017-0197-y","mag":"2736153020"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-017-0197-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-017-0197-y","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-017-0197-y","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-017-0197-y","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103129272","display_name":"Mang Xiao","orcid":"https://orcid.org/0000-0003-0617-2092"},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mang Xiao","raw_affiliation_strings":["School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China","institution_ids":["https://openalex.org/I67001856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102027755","display_name":"Mingming Jiang","orcid":"https://orcid.org/0000-0001-9156-233X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingming Jiang","raw_affiliation_strings":["Department of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338855","display_name":"Guangyao Li","orcid":"https://orcid.org/0000-0002-3150-1356"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyao Li","raw_affiliation_strings":["Department of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101945816","display_name":"Li Xie","orcid":"https://orcid.org/0000-0001-7808-3115"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xie","raw_affiliation_strings":["Department of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100730620","display_name":"Yi Li","orcid":"https://orcid.org/0000-0003-0986-3139"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yi","raw_affiliation_strings":["Department of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102027755"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":4.3081,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.94384226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2017","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12486","display_name":"Food Supply Chain Traceability","score":0.9602000117301941,"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"}},{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9323999881744385,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7353347539901733},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7256245017051697},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6392369270324707},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6326911449432373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6214881539344788},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5972280502319336},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.5394324660301208},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.5369033813476562},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.519330620765686},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.43899163603782654},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.4312838315963745},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4258199632167816},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4189494848251343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33578506112098694},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.20381835103034973}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7353347539901733},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7256245017051697},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6392369270324707},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6326911449432373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6214881539344788},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5972280502319336},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.5394324660301208},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.5369033813476562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.519330620765686},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.43899163603782654},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.4312838315963745},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4258199632167816},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4189494848251343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33578506112098694},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.20381835103034973},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-017-0197-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-017-0197-y","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-017-0197-y","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2ebdf701c69b417ba31fdd2efa0aa011","is_oa":false,"landing_page_url":"https://doaj.org/article/2ebdf701c69b417ba31fdd2efa0aa011","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-13 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-017-0197-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-017-0197-y","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-017-0197-y","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3310129165","display_name":"\u5e94\u7528\u65cb\u52a8\u7406\u8bba\u5bf9\u6210\u4eba\u6e10\u8fdb\u6027\u4e0b\u988c\u540e\u7f29\u53d1\u751f\u673a\u5236\u7684\u7814\u7a76","funder_award_id":"60771065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5431777066","display_name":null,"funder_award_id":"51378365","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322449","display_name":"Tongji University","ror":"https://ror.org/03rc6as71"},{"id":"https://openalex.org/F4320325444","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2736153020.pdf","grobid_xml":"https://content.openalex.org/works/W2736153020.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1994327174","https://openalex.org/W1999877083","https://openalex.org/W2006595861","https://openalex.org/W2038705219","https://openalex.org/W2044465660","https://openalex.org/W2044552234","https://openalex.org/W2046670074","https://openalex.org/W2064014153","https://openalex.org/W2078087367","https://openalex.org/W2092072518","https://openalex.org/W2110222014","https://openalex.org/W2119821739","https://openalex.org/W2129721611","https://openalex.org/W2135460975","https://openalex.org/W2139176774","https://openalex.org/W2148603752","https://openalex.org/W2153104898","https://openalex.org/W2155903085","https://openalex.org/W2160536005","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2164716162","https://openalex.org/W2172000360","https://openalex.org/W2406968003","https://openalex.org/W4312326823"],"related_works":["https://openalex.org/W58702947","https://openalex.org/W2888937984","https://openalex.org/W4307947749","https://openalex.org/W2138714265","https://openalex.org/W2125266525","https://openalex.org/W2018458007","https://openalex.org/W2407804800","https://openalex.org/W2273564766","https://openalex.org/W2149131139","https://openalex.org/W2896010623"],"abstract_inverted_index":{"Nowadays,":[0],"surface":[1],"defect":[2,16],"detection":[3,17,52],"systems":[4,18],"for":[5,101,213],"steel":[6],"strip":[7],"have":[8,65],"replaced":[9],"traditional":[10],"artificial":[11],"inspection":[12],"systems,":[13],"and":[14,28,215],"automatic":[15],"offer":[19],"good":[20],"performance":[21,176],"when":[22,40],"the":[23,29,34,61,70,99,116,133,147,150,164,175,187,200,209,218],"sample":[24,94,171,196],"set":[25,95,197],"is":[26,31,45],"large":[27],"model":[30,36,63,100],"stable.":[32],"However,":[33],"trained":[35,140],"does":[37],"work":[38],"well":[39],"a":[41,66,83,92,102,121,129,136,160,169,194],"new":[42,103],"production":[43,104],"line":[44],"initiated":[46],"with":[47,82,91,128,146,168,193],"different":[48],"equipment,":[49],"processes,":[50],"or":[51],"devices.":[53],"These":[54],"variables":[55],"make":[56],"just":[57],"tiny":[58],"changes":[59],"to":[60,96,111,152,162,180,198,207],"real-world":[62],"but":[64],"significant":[67],"impact":[68],"on":[69],"classification":[71],"result.":[72],"To":[73],"overcome":[74],"these":[75],"problems,":[76],"we":[77,119,158],"propose":[78],"an":[79,142,154],"evolutionary":[80,143,166],"classifier":[81,138],"Bayes":[84,137,165],"kernel":[85,144,167],"(BYEC)":[86],"that":[87,186],"can":[88,190],"be":[89,191],"adjusted":[90,192],"small":[93,170,195],"better":[97],"adapt":[98],"line.":[105],"First,":[106],"abundant":[107],"features":[108],"were":[109,205],"introduced":[110],"cover":[112],"detailed":[113],"information":[114],"about":[115],"defects.":[117],"Second,":[118],"constructed":[120],"series":[122],"of":[123,132,177,217],"support":[124],"vector":[125],"machines":[126],"(SVMs)":[127],"random":[130],"subspace":[131],"features.":[134],"Then,":[135],"was":[139],"as":[141],"fused":[145],"results":[148,184],"from":[149],"sub-SVM":[151],"form":[153],"integrated":[155],"classifier.":[156],"Finally,":[157],"proposed":[159,188,219],"method":[161,179,189],"adjust":[163],"set.":[172],"We":[173],"compared":[174],"this":[178],"various":[181],"algorithms;":[182],"experimental":[183],"demonstrate":[185,208],"fit":[199],"changed":[201],"model.":[202],"Experimental":[203],"evaluations":[204],"conducted":[206],"robustness,":[210],"low":[211],"requirement":[212],"samples,":[214],"adaptiveness":[216],"method.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}