{"id":"https://openalex.org/W4404742929","doi":"https://doi.org/10.1109/tsmc.2024.3496332","title":"Landmark Block-Embedded Aggregation Autoencoder for Anomaly Detection","display_name":"Landmark Block-Embedded Aggregation Autoencoder for Anomaly Detection","publication_year":2024,"publication_date":"2024-11-26","ids":{"openalex":"https://openalex.org/W4404742929","doi":"https://doi.org/10.1109/tsmc.2024.3496332"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2024.3496332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3496332","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-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":null,"display_name":"Ye Liu","orcid":"https://orcid.org/0009-0007-1052-2709"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Liu","raw_affiliation_strings":["School of Business, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0007-1052-2709","affiliations":[{"raw_affiliation_string":"School of Business, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109541372","display_name":"Yuanrong Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanrong Tian","raw_affiliation_strings":["School of Electronic Countermeasure, National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0006-1884-393X","affiliations":[{"raw_affiliation_string":"School of Electronic Countermeasure, National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043215329","display_name":"Yunlong Mi","orcid":"https://orcid.org/0000-0002-9013-1914"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Mi","raw_affiliation_strings":["School of Business, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-9013-1914","affiliations":[{"raw_affiliation_string":"School of Business, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hui Liu","orcid":"https://orcid.org/0000-0002-3639-2697"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["School of Business, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3639-2697","affiliations":[{"raw_affiliation_string":"School of Business, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436355","display_name":"Jian\u2010qiang Wang","orcid":"https://orcid.org/0000-0001-7668-4881"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Wang","raw_affiliation_strings":["School of Business, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-7668-4881","affiliations":[{"raw_affiliation_string":"School of Business, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113355433","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9335-9930","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3892,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84678304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"55","issue":"2","first_page":"1004","last_page":"1019"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9534000158309937,"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"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9061999917030334,"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/autoencoder","display_name":"Autoencoder","score":0.8048050403594971},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.7229188084602356},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6622121930122375},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5615050792694092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5154884457588196},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5121424198150635},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47454795241355896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4616504907608032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21289432048797607},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13726353645324707},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.12264075875282288},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08400315046310425}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8048050403594971},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.7229188084602356},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6622121930122375},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5615050792694092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5154884457588196},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5121424198150635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47454795241355896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4616504907608032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21289432048797607},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13726353645324707},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.12264075875282288},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08400315046310425},{"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/tsmc.2024.3496332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3496332","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4679006361","display_name":"\u98ce\u9669\u4f20\u64ad\u5bf9\u7ade\u5408\u7814\u53d1\u7f51\u7edc\u7684\u8106\u5f31\u6027\u5f71\u54cd\u53ca\u63a7\u5236\u65b9\u6cd5\u7814\u7a76","funder_award_id":"72101274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8515657469","display_name":null,"funder_award_id":"62001489","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8635212770","display_name":null,"funder_award_id":"2022JJ40646","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W107619411","https://openalex.org/W1990106316","https://openalex.org/W2110940238","https://openalex.org/W2127979711","https://openalex.org/W2132870739","https://openalex.org/W2155010204","https://openalex.org/W2165835468","https://openalex.org/W2296719434","https://openalex.org/W2340896621","https://openalex.org/W2346714907","https://openalex.org/W2599354622","https://openalex.org/W2615695282","https://openalex.org/W2756359217","https://openalex.org/W2757473709","https://openalex.org/W2901866350","https://openalex.org/W2949848919","https://openalex.org/W2985448050","https://openalex.org/W3004999940","https://openalex.org/W3011738477","https://openalex.org/W3016980352","https://openalex.org/W3040266635","https://openalex.org/W3106848223","https://openalex.org/W3159922383","https://openalex.org/W3162605107","https://openalex.org/W3211055065","https://openalex.org/W4205388843","https://openalex.org/W4206805025","https://openalex.org/W4226100513","https://openalex.org/W4254182148","https://openalex.org/W4285045749","https://openalex.org/W4285109203","https://openalex.org/W4309765030","https://openalex.org/W4312237981","https://openalex.org/W4313398213","https://openalex.org/W4315864811","https://openalex.org/W4319299835","https://openalex.org/W4362472443","https://openalex.org/W4377041688","https://openalex.org/W4379620489","https://openalex.org/W4380635164","https://openalex.org/W4385568255","https://openalex.org/W4385992411","https://openalex.org/W4386473084","https://openalex.org/W4387623755","https://openalex.org/W4395680495","https://openalex.org/W4401438423","https://openalex.org/W4402916186","https://openalex.org/W6678914141","https://openalex.org/W6748102297","https://openalex.org/W6748495906","https://openalex.org/W6751494907","https://openalex.org/W6771795890","https://openalex.org/W6780874654","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","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"],"abstract_inverted_index":{"Unsupervised":[0],"anomaly":[1,74,215],"detection":[2],"(AD)":[3],"methods":[4,22,43],"based":[5],"on":[6,25,67,236,240],"deep":[7,40],"learning":[8,107],"have":[9],"attracted":[10],"great":[11],"attention":[12],"in":[13,70],"unlabeled":[14],"data":[15,72,111],"mining.":[16],"The":[17,183,243],"performance":[18],"of":[19,29,35,53,64,133,142,166,189,195,217,251],"these":[20,78],"AD":[21,42],"usually":[23],"depends":[24],"the":[26,33,47,51,58,62,68,121,152,154,164,167,180,187,193,200,209,214,222,230,247],"representation":[27],"ability":[28],"normal":[30,54,105,122,135,149,196,204],"patterns":[31,55],"and":[32,50,97,113,137,162,191,205,225,249],"quality":[34,112,165],"training":[36,71,169],"data.":[37,170],"However,":[38],"most":[39],"unsupervised":[41],"do":[44],"not":[45],"capture":[46],"distribution":[48,116,132],"characteristics":[49],"diversity":[52],"effectively.":[56],"In":[57,120],"meantime,":[59],"they":[60],"ignore":[61],"interference":[63,188],"abnormal":[65,206],"samples":[66,197],"model":[69],"with":[73],"contamination.":[75],"To":[76],"tackle":[77],"issues,":[79],"this":[80],"article":[81],"proposes":[82],"a":[83,95,103,127,134,172,237],"method":[84],"named":[85],"landmark":[86,128,143,231],"block-embedded":[87],"aggregation":[88,99,181,194,211],"autoencoder":[89,100,212],"(LBAA)":[90],"for":[91],"AD.":[92],"LBAA":[93],"constructs":[94],"filter":[96,155,159],"an":[98,138],"by":[101,220],"introducing":[102],"novel":[104],"feature":[106,123,201],"approach":[108],"to":[109,130,146,158,178,198,229],"improve":[110,163],"adjust":[114],"its":[115,226],"differences":[117,202],"from":[118],"anomalies.":[119],"learning,":[124],"we":[125,234],"define":[126],"block":[129],"represent":[131],"class":[136],"adaptive":[139],"selection":[140],"mechanism":[141],"blocks\u2019":[144],"number":[145],"obtain":[147],"diverse":[148],"features.":[150],"On":[151],"basis,":[153],"is":[156,176],"constructed":[157],"distinct":[160],"anomalies":[161,190],"contaminated":[168],"Then,":[171],"weighted":[173],"objective":[174],"function":[175,184],"proposed":[177],"train":[179],"autoencoder.":[182],"can":[185],"reduce":[186],"realize":[192],"increase":[199],"between":[203],"samples.":[207],"Next,":[208],"trained":[210],"calculates":[213],"score":[216],"each":[218],"sample":[219],"summing":[221],"reconstruction":[223],"error":[224],"median":[227],"sparseness":[228],"blocks.":[232],"Finally,":[233],"report":[235],"comprehensive":[238],"experiment":[239],"multiple":[241],"datasets.":[242],"obtained":[244],"results":[245],"validate":[246],"effectiveness":[248],"robustness":[250],"LBAA.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
