{"id":"https://openalex.org/W4387339707","doi":"https://doi.org/10.1115/1.4063642","title":"Unsupervised Anomaly Detection via Nonlinear Manifold Learning","display_name":"Unsupervised Anomaly Detection via Nonlinear Manifold Learning","publication_year":2023,"publication_date":"2023-10-04","ids":{"openalex":"https://openalex.org/W4387339707","doi":"https://doi.org/10.1115/1.4063642"},"language":"en","primary_location":{"id":"doi:10.1115/1.4063642","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4063642","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","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":"https://openalex.org/A5013741274","display_name":"Amin Yousefpour","orcid":"https://orcid.org/0000-0002-6168-9441"},"institutions":[{"id":"https://openalex.org/I4210140791","display_name":"Irvine University","ror":"https://ror.org/04ysmca02","country_code":"US","type":"education","lineage":["https://openalex.org/I4210140791"]},{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amin Yousefpour","raw_affiliation_strings":["University of California Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","University of California, Irvine Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","4200 Engineering Gateway, Mechanical Engineering Department irvine, CA 92697"],"affiliations":[{"raw_affiliation_string":"University of California Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","institution_ids":["https://openalex.org/I4210140791"]},{"raw_affiliation_string":"University of California, Irvine Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","institution_ids":["https://openalex.org/I4210140791","https://openalex.org/I204250578"]},{"raw_affiliation_string":"4200 Engineering Gateway, Mechanical Engineering Department irvine, CA 92697","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037597901","display_name":"Mehdi H. Shishehbor","orcid":"https://orcid.org/0000-0002-4888-2431"},"institutions":[{"id":"https://openalex.org/I4210140791","display_name":"Irvine University","ror":"https://ror.org/04ysmca02","country_code":"US","type":"education","lineage":["https://openalex.org/I4210140791"]},{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehdi Shishehbor","raw_affiliation_strings":["University of California Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","University of California, Irvine Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","4200 Engineering Gateway, Mechanical Engineering Department irvine, CA 92697"],"affiliations":[{"raw_affiliation_string":"University of California Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","institution_ids":["https://openalex.org/I4210140791"]},{"raw_affiliation_string":"University of California, Irvine Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","institution_ids":["https://openalex.org/I4210140791","https://openalex.org/I204250578"]},{"raw_affiliation_string":"4200 Engineering Gateway, Mechanical Engineering Department irvine, CA 92697","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082084899","display_name":"Zahra Zanjani Foumani","orcid":null},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]},{"id":"https://openalex.org/I4210140791","display_name":"Irvine University","ror":"https://ror.org/04ysmca02","country_code":"US","type":"education","lineage":["https://openalex.org/I4210140791"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zahra Zanjani Foumani","raw_affiliation_strings":["University of California Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","University of California, Irvine Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","4200 Engineering Gateway, Mechanical Engineering Department Irvine, CA 92697"],"affiliations":[{"raw_affiliation_string":"University of California Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","institution_ids":["https://openalex.org/I4210140791"]},{"raw_affiliation_string":"University of California, Irvine Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","institution_ids":["https://openalex.org/I4210140791","https://openalex.org/I204250578"]},{"raw_affiliation_string":"4200 Engineering Gateway, Mechanical Engineering Department Irvine, CA 92697","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062806994","display_name":"Ramin Bostanabad","orcid":"https://orcid.org/0000-0001-7785-4117"},"institutions":[{"id":"https://openalex.org/I4210140791","display_name":"Irvine University","ror":"https://ror.org/04ysmca02","country_code":"US","type":"education","lineage":["https://openalex.org/I4210140791"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramin Bostanabad","raw_affiliation_strings":["University of California Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","4200 Engineering Gateway Irvine, CA 92697"],"affiliations":[{"raw_affiliation_string":"University of California Department of Mechanical and Aerospace Engineering, , Irvine, CA 92697","institution_ids":["https://openalex.org/I4210140791"]},{"raw_affiliation_string":"4200 Engineering Gateway Irvine, CA 92697","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013741274"],"corresponding_institution_ids":["https://openalex.org/I204250578","https://openalex.org/I4210140791"],"apc_list":null,"apc_paid":null,"fwci":1.758,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87892382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":"11","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9789999723434448,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9779000282287598,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7898898720741272},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.7308316230773926},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7178090214729309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7151907682418823},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.6900081634521484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737639904022217},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.577061116695404},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5703808665275574},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5019145011901855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4860873520374298},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.43289458751678467},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41269242763519287},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4106065034866333},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3872112035751343},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.258928507566452},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.122376948595047}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7898898720741272},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.7308316230773926},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7178090214729309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7151907682418823},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.6900081634521484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737639904022217},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.577061116695404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5703808665275574},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5019145011901855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4860873520374298},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.43289458751678467},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41269242763519287},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4106065034866333},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3872112035751343},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.258928507566452},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.122376948595047},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4063642","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4063642","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G3221051663","display_name":null,"funder_award_id":"80NSSC21K1809","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G7693917949","display_name":null,"funder_award_id":"N000142312485","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2008298724","https://openalex.org/W2010921848","https://openalex.org/W2122646361","https://openalex.org/W2143559571","https://openalex.org/W2288752886","https://openalex.org/W2315912408","https://openalex.org/W2326419945","https://openalex.org/W2613480438","https://openalex.org/W2766488777","https://openalex.org/W2766761849","https://openalex.org/W2779618392","https://openalex.org/W2899638272","https://openalex.org/W2907598569","https://openalex.org/W2975517869","https://openalex.org/W2997116778","https://openalex.org/W3010542492","https://openalex.org/W3027374119","https://openalex.org/W3040266635","https://openalex.org/W3047704379","https://openalex.org/W3048727804","https://openalex.org/W3084643726","https://openalex.org/W3094907352","https://openalex.org/W3097297712","https://openalex.org/W3118868805","https://openalex.org/W3131633867","https://openalex.org/W3132706493","https://openalex.org/W3140288472","https://openalex.org/W3184778778","https://openalex.org/W3203011193","https://openalex.org/W3206199321","https://openalex.org/W3206632493","https://openalex.org/W4200457408","https://openalex.org/W4226481934","https://openalex.org/W4229364280","https://openalex.org/W4249991458","https://openalex.org/W4290964450","https://openalex.org/W4292290851","https://openalex.org/W4297175476","https://openalex.org/W4315795808","https://openalex.org/W4379470918","https://openalex.org/W6640963894","https://openalex.org/W6642499257","https://openalex.org/W6662390767","https://openalex.org/W6745774051","https://openalex.org/W6748102297","https://openalex.org/W6748713143","https://openalex.org/W6758101687","https://openalex.org/W6782447831","https://openalex.org/W6794553454","https://openalex.org/W6798979444","https://openalex.org/W6805494371","https://openalex.org/W6839202819","https://openalex.org/W6840297240"],"related_works":["https://openalex.org/W3123344745","https://openalex.org/W3044458868","https://openalex.org/W2784313445","https://openalex.org/W2292254049","https://openalex.org/W4310034804","https://openalex.org/W3217300629","https://openalex.org/W2592385986","https://openalex.org/W4312783963","https://openalex.org/W4387339707","https://openalex.org/W4381245662"],"abstract_inverted_index":{"Abstract":[0],"Anomalies":[1],"are":[2,47,63,120],"samples":[3,119],"that":[4,25,117,142],"significantly":[5],"deviate":[6],"from":[7],"the":[8,11,113,166,180],"rest":[9],"of":[10,41,97,183],"data":[12,66,114],"and":[13,36,81,105,124,129,169,193],"their":[14],"detection":[15,44],"plays":[16],"a":[17,78,103,139,145,152,162],"major":[18],"role":[19],"in":[20,30,58,92,159],"building":[21],"machine":[22],"learning":[23,88,140,167],"models":[24],"can":[26,126],"be":[27,127],"reliably":[28],"used":[29],"applications":[31,60,174],"such":[32,116],"as":[33],"data-driven":[34],"design":[35],"novelty":[37],"detection.":[38],"The":[39,95],"majority":[40],"existing":[42,187],"anomaly":[43],"methods":[45],"either":[46,144],"exclusively":[48],"developed":[49],"for":[50,111,172],"(semi)":[51],"supervised":[52],"settings,":[53],"or":[54,151],"provide":[55],"poor":[56],"performance":[57,182],"unsupervised":[59,93],"where":[61],"there":[62],"no":[64],"training":[65],"with":[67,175],"labeled":[68],"anomalous":[69],"samples.":[70],"To":[71],"bridge":[72],"this":[73,134],"research":[74],"gap,":[75],"we":[76],"introduce":[77],"robust,":[79],"efficient,":[80],"interpretable":[82,106],"methodology":[83],"based":[84],"on":[85,165],"nonlinear":[86],"manifold":[87,136],"to":[89,101],"detect":[90],"anomalies":[91],"settings.":[94],"essence":[96],"our":[98,184],"approach":[99,185],"is":[100,170],"learn":[102,133],"low-dimensional":[104,135],"latent":[107,146],"representation":[108],"(aka":[109],"manifold)":[110],"all":[112],"points":[115],"normal":[118],"automatically":[121],"clustered":[122],"together":[123],"hence":[125],"easily":[128],"robustly":[130],"identified.":[131],"We":[132,178],"by":[137],"designing":[138],"algorithm":[141],"leverages":[143],"map":[147],"Gaussian":[148],"process":[149],"(LMGP)":[150],"deep":[153],"autoencoder":[154],"(AE).":[155],"Our":[156],"LMGP-based":[157],"approach,":[158],"particular,":[160],"provides":[161],"probabilistic":[163],"perspective":[164],"task":[168],"ideal":[171],"high-dimensional":[173],"scarce":[176],"data.":[177],"demonstrate":[179],"superior":[181],"over":[186],"technologies":[188],"via":[189],"multiple":[190],"analytic":[191],"examples":[192],"real-world":[194],"datasets.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
