{"id":"https://openalex.org/W4390944850","doi":"https://doi.org/10.1109/besc59560.2023.10386587","title":"Local Outlier Detection Based on K-distance Variation to Enhancing Imaging-aided Diagnosis","display_name":"Local Outlier Detection Based on K-distance Variation to Enhancing Imaging-aided Diagnosis","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4390944850","doi":"https://doi.org/10.1109/besc59560.2023.10386587"},"language":"en","primary_location":{"id":"doi:10.1109/besc59560.2023.10386587","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/besc59560.2023.10386587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Behavioural and Social Computing (BESC)","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/A5012982390","display_name":"Huiwen Dong","orcid":"https://orcid.org/0000-0003-0426-4102"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huiwen Dong","raw_affiliation_strings":["Beijing Normal University,Faculty of Artificial Intelligence,Beijing,China","Faculty of Artificial Intelligence, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University,Faculty of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Faculty of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109674921","display_name":"Rongcheng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal University - Hong Kong Baptist University United International College","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongcheng Li","raw_affiliation_strings":["BNU-HKBU United International College,Faculty of Science and Technology,Zhuhai,China","Faculty of Science and Technology, BNU-HKBU United International College, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"BNU-HKBU United International College,Faculty of Science and Technology,Zhuhai,China","institution_ids":["https://openalex.org/I12615008"]},{"raw_affiliation_string":"Faculty of Science and Technology, BNU-HKBU United International College, Zhuhai, China","institution_ids":["https://openalex.org/I12615008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738585","display_name":"Wenhua Wang","orcid":"https://orcid.org/0000-0002-7682-0860"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhua Wang","raw_affiliation_strings":["Beijing Normal University,Institute of Artificial Intelligence and Future Networks,Zhuhai,China","Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University,Institute of Artificial Intelligence and Future Networks,Zhuhai,China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088638290","display_name":"Shangrui Wu","orcid":"https://orcid.org/0000-0002-1487-3465"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shangrui Wu","raw_affiliation_strings":["Hong Kong Baptist University,China","Hong Kong Baptist University, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University,China","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Hong Kong Baptist University, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051512158","display_name":"Guandong Xu","orcid":"https://orcid.org/0000-0003-4493-6663"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guandong Xu","raw_affiliation_strings":["University of Technology Sydney,Sydney,Australia","University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105287593","display_name":"Zhiwen Zhao","orcid":"https://orcid.org/0009-0000-9115-0845"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Zhao","raw_affiliation_strings":["Beijing Normal University,Faculty of Artificial Intelligence,Beijing,China","Faculty of Artificial Intelligence, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University,Faculty of Artificial Intelligence,Beijing,China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Faculty of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100682407","display_name":"Qing\u2010Guo Wang","orcid":"https://orcid.org/0000-0002-3672-3716"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal University - Hong Kong Baptist University United International College","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing-Guo Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Future Networks, Beijing Normal University,Guangdong Key Lab of AI and MM Data Processing, Guangdong Provincial Key Laboratory IRADS, IAS, DST, BNU-HKBU United International College,Zhuhai,China","Guangdong Key Lab of AI and MM Data Processing, Guangdong Provincial Key Laboratory IRADS, IAS, DST, BNU-HKBU United International College, Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University,Guangdong Key Lab of AI and MM Data Processing, Guangdong Provincial Key Laboratory IRADS, IAS, DST, BNU-HKBU United International College,Zhuhai,China","institution_ids":["https://openalex.org/I12615008"]},{"raw_affiliation_string":"Guangdong Key Lab of AI and MM Data Processing, Guangdong Provincial Key Laboratory IRADS, IAS, DST, BNU-HKBU United International College, Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I12615008","https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012982390"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.174,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60307322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9804999828338623,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9685999751091003,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8385818004608154},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8049134612083435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6628919243812561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5980666875839233},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5925858020782471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5917822122573853},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5832529664039612},{"id":"https://openalex.org/keywords/local-outlier-factor","display_name":"Local outlier factor","score":0.524848461151123},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.49924540519714355},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4392368495464325},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42856618762016296},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3766923248767853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24593257904052734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14915519952774048}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8385818004608154},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8049134612083435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6628919243812561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5980666875839233},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5925858020782471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5917822122573853},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5832529664039612},{"id":"https://openalex.org/C169029474","wikidata":"https://www.wikidata.org/wiki/Q387942","display_name":"Local outlier factor","level":3,"score":0.524848461151123},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.49924540519714355},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4392368495464325},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42856618762016296},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3766923248767853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24593257904052734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14915519952774048},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc59560.2023.10386587","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/besc59560.2023.10386587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1431481846","https://openalex.org/W1584412742","https://openalex.org/W1673310716","https://openalex.org/W2041184937","https://openalex.org/W2102999520","https://openalex.org/W2110784166","https://openalex.org/W2197830862","https://openalex.org/W2515000634","https://openalex.org/W2590761734","https://openalex.org/W2599354622","https://openalex.org/W2753528593","https://openalex.org/W2796762894","https://openalex.org/W2884716214","https://openalex.org/W3035622304","https://openalex.org/W3080356202","https://openalex.org/W3100850306","https://openalex.org/W3157900529","https://openalex.org/W3175238080","https://openalex.org/W3217270075","https://openalex.org/W4207037245","https://openalex.org/W4254182148","https://openalex.org/W4285082635","https://openalex.org/W4313565142","https://openalex.org/W4317356564","https://openalex.org/W4327928482","https://openalex.org/W4381735334","https://openalex.org/W4385805211","https://openalex.org/W6751494907"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W2770832849","https://openalex.org/W3111802945","https://openalex.org/W205872183","https://openalex.org/W114119537","https://openalex.org/W2806741695","https://openalex.org/W4240627425","https://openalex.org/W2761705761","https://openalex.org/W2912112202","https://openalex.org/W2946096271"],"abstract_inverted_index":{"Local":[0],"outlier":[1,67,77],"detection":[2,78],"is":[3],"a":[4,74],"critical":[5],"task":[6],"in":[7,135,152],"data":[8,20,49,58],"mining,":[9],"which":[10,32],"identifies":[11],"outliers":[12],"by":[13,90,101],"estimating":[14],"the":[15,35,43,47,53,63,87,92,98,111,136,143,155,158],"anomaly":[16,44,130],"score":[17],"for":[18,182],"each":[19],"point.":[21],"The":[22],"traditional":[23],"density-based":[24],"methods":[25,151],"assign":[26],"large":[27],"k-distances":[28],"to":[29,34,40,106,176],"boundary":[30,48,99],"data,":[31],"leads":[33],"\"boundary":[36],"bias":[37,100],"issue\".":[38],"Due":[39],"this":[41,70],"issue,":[42],"scores":[45,54,131],"of":[46,55,65,113,120,154],"are":[50,60],"overestimated":[51],"while":[52],"their":[56],"neighboring":[57],"points":[59],"underestimated,":[61],"limiting":[62],"performance":[64,112],"local":[66,76,129],"detection.":[68,139],"In":[69],"paper,":[71],"we":[72,117],"propose":[73],"novel":[75],"method":[79,145],"based":[80,122],"on":[81,123,165,178],"k-distance":[82,89],"variation.":[83],"This":[84],"technique":[85],"replaces":[86],"typical":[88],"measuring":[91],"k-nearest":[93],"neighbor":[94],"distance":[95],"variations,":[96],"eliminating":[97],"using":[102],"adjacent":[103],"nearest":[104],"neighbors":[105],"transfer":[107],"distances.":[108],"To":[109],"evaluate":[110],"our":[114],"proposed":[115,144],"approach,":[116],"conduct":[118],"plenty":[119],"experiments":[121],"synthetic":[124,167],"dataset,":[125],"and":[126,163],"also":[127,170],"transform":[128],"into":[132],"attention":[133,174],"maps":[134,175],"breast":[137],"cancer":[138],"Experiments":[140],"demonstrate":[141],"that":[142],"not":[146],"only":[147],"outperforms":[148],"other":[149],"state-of-the-art":[150],"terms":[153],"area":[156],"under":[157],"receiver":[159],"operating":[160],"characteristic":[161],"curve":[162],"precision":[164],"various":[166],"datasets,":[168],"but":[169],"generates":[171],"more":[172],"accurate":[173],"focus":[177],"multiple":[179],"lesion":[180],"areas":[181],"medical":[183],"imaging-based":[184],"diagnosis.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}