{"id":"https://openalex.org/W4408017225","doi":"https://doi.org/10.1109/tnnls.2025.3540602","title":"Learning Decision Boundaries for Multidimensional Anomaly Detection","display_name":"Learning Decision Boundaries for Multidimensional Anomaly Detection","publication_year":2025,"publication_date":"2025-02-27","ids":{"openalex":"https://openalex.org/W4408017225","doi":"https://doi.org/10.1109/tnnls.2025.3540602","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031753"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3540602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3540602","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101680224","display_name":"Xinye Wang","orcid":"https://orcid.org/0000-0003-2095-6117"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinye Wang","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2095-6117","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103153652","display_name":"Lei Duan","orcid":"https://orcid.org/0000-0001-7254-1832"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Duan","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7254-1832","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000687155","display_name":"Lili Guan","orcid":"https://orcid.org/0000-0002-4464-9384"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Guan","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4464-9384","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067346539","display_name":"Jiaxuan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxuan Xu","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0005-3350-6803","affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039550320","display_name":"Chengxin He","orcid":"https://orcid.org/0000-0003-3759-3914"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxin He","raw_affiliation_strings":["National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3759-3914","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Biomaterials, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101680224"],"corresponding_institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01364766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"8","first_page":"15268","last_page":"15281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9404000043869019,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9319000244140625,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.7301399111747742},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5277624130249023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42640602588653564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3826178014278412},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1338179111480713}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7301399111747742},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5277624130249023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42640602588653564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3826178014278412},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1338179111480713},{"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":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3540602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3540602","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40031753","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031753","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1547855224","display_name":null,"funder_award_id":"2024ZD0607700","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7603945087","display_name":null,"funder_award_id":"62472294","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W1242748811","https://openalex.org/W1493968464","https://openalex.org/W1560776233","https://openalex.org/W1584412742","https://openalex.org/W1663634901","https://openalex.org/W1969885422","https://openalex.org/W1970088130","https://openalex.org/W2000613743","https://openalex.org/W2019014808","https://openalex.org/W2056081083","https://openalex.org/W2061122559","https://openalex.org/W2072707985","https://openalex.org/W2103914106","https://openalex.org/W2105497548","https://openalex.org/W2132870739","https://openalex.org/W2137403181","https://openalex.org/W2167503371","https://openalex.org/W2283039974","https://openalex.org/W2296719434","https://openalex.org/W2340896621","https://openalex.org/W2501244995","https://openalex.org/W2737226596","https://openalex.org/W2783205364","https://openalex.org/W2788927584","https://openalex.org/W2793988933","https://openalex.org/W2807955733","https://openalex.org/W2809211248","https://openalex.org/W2902415114","https://openalex.org/W2902758299","https://openalex.org/W2963878656","https://openalex.org/W2989623883","https://openalex.org/W2997312527","https://openalex.org/W3024488967","https://openalex.org/W3034418897","https://openalex.org/W3035622304","https://openalex.org/W3040266635","https://openalex.org/W3099852169","https://openalex.org/W3117272077","https://openalex.org/W3128465814","https://openalex.org/W3159922383","https://openalex.org/W3171624151","https://openalex.org/W3183619427","https://openalex.org/W3190441617","https://openalex.org/W3200294812","https://openalex.org/W3200904534","https://openalex.org/W4226060502","https://openalex.org/W4245050711","https://openalex.org/W4253461361","https://openalex.org/W4254182148","https://openalex.org/W4283810514","https://openalex.org/W4312772600","https://openalex.org/W4320169208","https://openalex.org/W4367016885","https://openalex.org/W4382203409","https://openalex.org/W4385764393","https://openalex.org/W4385815483","https://openalex.org/W4387693742","https://openalex.org/W4388469685","https://openalex.org/W4388714230","https://openalex.org/W4389161421","https://openalex.org/W4392387658","https://openalex.org/W4392843872","https://openalex.org/W4392903760","https://openalex.org/W4393147759","https://openalex.org/W4399457411","https://openalex.org/W4400643995","https://openalex.org/W4401284370","https://openalex.org/W6633228498","https://openalex.org/W6640963894","https://openalex.org/W6676722156","https://openalex.org/W6684361840","https://openalex.org/W6751494907","https://openalex.org/W6757844995","https://openalex.org/W6771795890","https://openalex.org/W6774611950","https://openalex.org/W6784767544","https://openalex.org/W6784869275","https://openalex.org/W6792111848","https://openalex.org/W6796490911","https://openalex.org/W6838461383","https://openalex.org/W6853278966","https://openalex.org/W6857763825"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"In":[0,56],"this":[1,178],"article,":[2],"we":[3,171,188],"attempt":[4],"to":[5,28,58,81,131],"study":[6],"a":[7,47,66,71,103,120],"problem":[8,123],"of":[9,70,77,83,186,211],"identifying":[10],"outliers":[11,148],"from":[12,86],"multiple":[13,134,153,160],"dimensions,":[14],"terming":[15],"it":[16],"as":[17],"multidimensional":[18,62,96,108,115],"anomaly":[19,60,63,97,109,116,201],"detection.":[20,117],"This":[21,100],"task":[22],"assumes":[23],"that":[24],"each":[25,33,169],"sample":[26,48],"corresponds":[27],"heterogeneous":[29],"discriminative":[30,78],"spaces,":[31],"where":[32],"space":[34],"characterizes":[35],"distinct":[36],"semantic":[37],"information":[38],"along":[39],"one":[40],"dimension.":[41],"Consequently,":[42],"the":[43,75,84,91,138,157,164,184,208],"abnormalities":[44],"exhibited":[45],"by":[46,155],"will":[49],"vary":[50],"under":[51,152,168],"these":[52],"semantically":[53],"different":[54,87],"dimensions.":[55,161],"contrast":[57],"traditional":[59],"detection,":[61],"detection":[64,98,110,202],"offers":[65],"more":[67],"holistic":[68],"assessment":[69],"sample's":[72],"abnormalities.":[73],"However,":[74],"heterogeneity":[76],"spaces":[79],"leads":[80],"incomparability":[82],"outputs":[85],"dimensions":[88,154],"which":[89],"is":[90,130],"major":[92],"difficulty":[93],"in":[94],"designing":[95],"methods.":[99,203],"article":[101],"introduces":[102],"novel":[104],"model,":[105],"maximum":[106,139],"margin":[107,140],"(ALOE),":[111],"specifically":[112],"tailored":[113],"for":[114,177],"ALOE":[118],"constructs":[119],"convex":[121,179],"optimization":[122,175,180],"with":[124],"nonlinear":[125],"constraints.":[126],"The":[127,204],"primary":[128],"objective":[129],"simultaneously":[132],"learn":[133],"decision":[135,166],"boundaries,":[136],"utilizing":[137],"principle":[141],"and":[142,149],"covariance":[143],"regularization,":[144],"while":[145],"distinguishing":[146],"between":[147],"normal":[150],"samples":[151],"capturing":[156],"correlation":[158],"among":[159],"To":[162,182],"obtain":[163],"optimal":[165],"boundary":[167],"dimension,":[170],"devise":[172],"an":[173],"alternating":[174],"method":[176],"problem.":[181],"validate":[183],"effectiveness":[185],"ALOE,":[187],"conduct":[189],"extensive":[190],"experiments":[191],"on":[192],"12":[193],"real-world":[194],"datasets,":[195],"comparing":[196],"its":[197],"performance":[198,210],"against":[199],"34":[200],"experimental":[205],"results":[206],"demonstrate":[207],"superior":[209],"ALOE.":[212]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
