{"id":"https://openalex.org/W7164301146","doi":"https://doi.org/10.1016/j.patcog.2026.114212","title":"Uncertainty-aware multi-modal time series anomaly detection via reduced-order evidence fusion","display_name":"Uncertainty-aware multi-modal time series anomaly detection via reduced-order evidence fusion","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7164301146","doi":"https://doi.org/10.1016/j.patcog.2026.114212"},"language":"en","primary_location":{"id":"doi:10.1016/j.patcog.2026.114212","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.patcog.2026.114212","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.patcog.2026.114212","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077115216","display_name":"Qiucen Li","orcid":"https://orcid.org/0000-0002-9763-3853"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiucen Li","raw_affiliation_strings":["School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Shenzhen, 518107, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-9763-3853","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Shenzhen, 518107, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124188666","display_name":"Xingheng Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingheng Wan","raw_affiliation_strings":["School of Software Technology, Dalian University of Technology, No. 321 Tuqiang Street, 116620, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology, No. 321 Tuqiang Street, 116620, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015672734","display_name":"Huicen Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huicen Guo","raw_affiliation_strings":["School of Software Technology, Dalian University of Technology, No. 321 Tuqiang Street, 116620, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology, No. 321 Tuqiang Street, 116620, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138437600","display_name":"Wei Wang (17594)","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Shenzhen, 518107, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Shenzhen, 518107, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138466892","display_name":"Meng Liu (261774)","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Liu","raw_affiliation_strings":["School of Software Technology, Dalian University of Technology, No. 321 Tuqiang Street, 116620, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Technology, Dalian University of Technology, No. 321 Tuqiang Street, 116620, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020286040","display_name":"Yuning Cui","orcid":"https://orcid.org/0000-0002-1279-5539"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yuning Cui","raw_affiliation_strings":["School of Computation, Information and Technology, Technical University of Munich, Boltzmannstr. 3, Munich, 85748, Bavaria, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1279-5539","affiliations":[{"raw_affiliation_string":"School of Computation, Information and Technology, Technical University of Munich, Boltzmannstr. 3, Munich, 85748, Bavaria, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020286040"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":{"value":2710,"currency":"USD","value_usd":2710},"apc_paid":{"value":2710,"currency":"USD","value_usd":2710},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74301848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"180","issue":null,"first_page":"114212","last_page":"114212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8712999820709229,"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":0.8712999820709229,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.029100000858306885,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.016599999740719795,"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/series","display_name":"Series (stratigraphy)","score":0.5623000264167786},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5253000259399414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.438400000333786},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42100000381469727},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.3700999915599823},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3564000129699707}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5623000264167786},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5253000259399414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5115000009536743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49799999594688416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.438400000333786},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4058000147342682},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3644999861717224},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29499998688697815},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.27059999108314514},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.patcog.2026.114212","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.patcog.2026.114212","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.patcog.2026.114212","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.patcog.2026.114212","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.40630999207496643,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2786827964","https://openalex.org/W2950361482","https://openalex.org/W3170937175","https://openalex.org/W3170981104","https://openalex.org/W3209806402","https://openalex.org/W4288046518","https://openalex.org/W4385562582","https://openalex.org/W4386038403","https://openalex.org/W4389664922","https://openalex.org/W4396758709","https://openalex.org/W4401487891","https://openalex.org/W4402056503","https://openalex.org/W4404078863","https://openalex.org/W4407869912","https://openalex.org/W4408099450","https://openalex.org/W4408355631","https://openalex.org/W4409128563","https://openalex.org/W4409494359","https://openalex.org/W4409671222","https://openalex.org/W4410028579","https://openalex.org/W4411867275","https://openalex.org/W4412536492","https://openalex.org/W4412630108","https://openalex.org/W4413142538","https://openalex.org/W4413148661","https://openalex.org/W4413315430","https://openalex.org/W4414165965","https://openalex.org/W4414229361","https://openalex.org/W4414780086","https://openalex.org/W4415354941","https://openalex.org/W4415554422","https://openalex.org/W4415660291","https://openalex.org/W4415795566","https://openalex.org/W4417001725","https://openalex.org/W4417216498","https://openalex.org/W4417220134","https://openalex.org/W7126034343","https://openalex.org/W7127105350","https://openalex.org/W7161555942"],"related_works":[],"abstract_inverted_index":{"Time":[0],"series":[1],"anomaly":[2],"detection":[3],"(TSAD)":[4],"is":[5],"crucial":[6],"for":[7,96],"ensuring":[8],"the":[9,52,63,134,185,209],"reliability":[10],"of":[11],"safety-critical":[12],"systems.":[13],"While":[14],"recent":[15,217],"multi-view":[16],"approaches":[17],"combining":[18],"time":[19],"and":[20,31,81,132],"frequency":[21,47],"domains":[22],"have":[23],"advanced":[24],"performance,":[25],"they":[26],"still":[27],"face":[28],"important":[29],"representation":[30,41],"fusion":[32],"bottlenecks.":[33],"Specifically,":[34],"conventional":[35],"linear":[36],"spectral":[37,130],"mappings":[38],"may":[39],"introduce":[40],"distortion":[42],"when":[43],"decoding":[44],"complex":[45],"non-linear":[46,129],"shifts.":[48,71],"Furthermore,":[49],"by":[50],"restricting":[51],"feature":[53],"space":[54],"to":[55,68,77,126,139,189],"purely":[56],"numerical":[57],"modalities,":[58],"existing":[59],"deterministic":[60,169],"models":[61],"lack":[62],"global":[64,124,186],"operational":[65,70,200],"semantics":[66,125],"required":[67],"contextualize":[69],"This":[72,156],"semantic":[73,136],"void":[74],"can":[75],"lead":[76],"inter-modal":[78,141],"cognitive":[79],"conflicts":[80,142],"overconfident":[82],"misclassifications":[83],"under":[84],"noisy":[85],"environments,":[86],"whereas":[87],"traditional":[88],"probabilistic":[89],"uncertainty":[90,162],"estimation":[91],"methods":[92],"remain":[93],"computationally":[94],"expensive":[95],"real-time":[97],"TSAD.":[98],"To":[99],"address":[100],"these":[101],"limitations,":[102],"this":[103],"paper":[104],"proposes":[105],"a":[106,115,146,167,180],"Tri-modal":[107,147],"Evidential":[108,148],"Synergy":[109],"Network":[110],"(TES-Net).":[111],"First,":[112],"TES-Net":[113],"leverages":[114],"multi-order":[116],"Kolmogorov-Arnold":[117],"network":[118],"alongside":[119],"large":[120],"language":[121],"model":[122],"(LLM)-extracted":[123],"adaptively":[127],"decode":[128],"fluctuations":[131],"bridge":[133],"heterogeneous":[135],"gap.":[137],"Second,":[138],"resolve":[140],"efficiently,":[143],"we":[144],"design":[145],"Fusion":[149],"module":[150],"grounded":[151],"in":[152,166],"Dempster-Shafer":[153],"evidence":[154],"theory.":[155],"mechanism":[157,183],"explicitly":[158],"quantifies":[159],"modality-level":[160],"epistemic":[161],"via":[163],"mass":[164],"functions":[165],"single":[168],"forward":[170],"pass,":[171],"dynamically":[172],"discounting":[173],"corrupted":[174],"modalities":[175],"through":[176],"expectation":[177],"aggregation.":[178],"Finally,":[179],"semantic-gated":[181],"correlation":[182],"employs":[184],"textual":[187],"prior":[188],"modulate":[190],"local":[191],"inter-variate":[192],"physical":[193],"topologies,":[194],"differentiating":[195],"genuine":[196],"anomalies":[197],"from":[198],"benign":[199],"transitions.":[201],"Extensive":[202],"experiments":[203],"on":[204],"benchmark":[205],"datasets":[206],"demonstrate":[207],"that":[208],"proposed":[210],"method":[211],"achieves":[212],"competitive":[213],"performance":[214],"compared":[215],"with":[216],"baselines.":[218]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2026-06-12T00:00:00"}
