{"id":"https://openalex.org/W4405518113","doi":"https://doi.org/10.1109/lsp.2024.3520019","title":"Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection","display_name":"Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection","publication_year":2024,"publication_date":"2024-12-18","ids":{"openalex":"https://openalex.org/W4405518113","doi":"https://doi.org/10.1109/lsp.2024.3520019"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3520019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3520019","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5075188655","display_name":"Mohammed Ayalew Belay","orcid":"https://orcid.org/0000-0003-2144-9790"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Mohammed Ayalew Belay","raw_affiliation_strings":["Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway"],"raw_orcid":"https://orcid.org/0000-0003-2144-9790","affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032407979","display_name":"Adil Rasheed","orcid":"https://orcid.org/0000-0003-2690-983X"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Adil Rasheed","raw_affiliation_strings":["Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway"],"raw_orcid":"https://orcid.org/0000-0003-2690-983X","affiliations":[{"raw_affiliation_string":"Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044813487","display_name":"Pierluigi Salvo Rossi","orcid":"https://orcid.org/0000-0001-6834-8482"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Pierluigi Salvo Rossi","raw_affiliation_strings":["Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway"],"raw_orcid":"https://orcid.org/0000-0001-6834-8482","affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0547,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92687021,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"331","last_page":"335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9901999831199646,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9763000011444092,"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/autoregressive-model","display_name":"Autoregressive model","score":0.7234363555908203},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.708382248878479},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6829356551170349},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6244521141052246},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6183427572250366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5594844222068787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5258617401123047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4928915500640869},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33227381110191345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31682613492012024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3113342523574829},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2632565200328827}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7234363555908203},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.708382248878479},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6829356551170349},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6244521141052246},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6183427572250366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5594844222068787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5258617401123047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4928915500640869},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33227381110191345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31682613492012024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3113342523574829},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2632565200328827},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3520019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3520019","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1966809779","https://openalex.org/W1995443851","https://openalex.org/W2096608935","https://openalex.org/W2111184007","https://openalex.org/W2127979711","https://openalex.org/W2142889610","https://openalex.org/W2158958729","https://openalex.org/W2403816530","https://openalex.org/W2407991977","https://openalex.org/W2604247107","https://openalex.org/W2768947629","https://openalex.org/W2902758299","https://openalex.org/W2945434604","https://openalex.org/W2945976633","https://openalex.org/W2948978827","https://openalex.org/W3081497074","https://openalex.org/W3128465814","https://openalex.org/W3191161603","https://openalex.org/W3200820943","https://openalex.org/W4226060502","https://openalex.org/W4253352756","https://openalex.org/W4288064466","https://openalex.org/W4293790978","https://openalex.org/W4310699669","https://openalex.org/W4323314880","https://openalex.org/W4353115442","https://openalex.org/W4384407578","https://openalex.org/W4396782935","https://openalex.org/W4401110561","https://openalex.org/W4401325717","https://openalex.org/W4402508106","https://openalex.org/W6748102297","https://openalex.org/W6751494907"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2150410159","https://openalex.org/W4327525404","https://openalex.org/W2118640767","https://openalex.org/W2349019353","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,26,35],"in":[2,9],"multivariate":[3],"time":[4],"series":[5],"(MTS)":[6],"is":[7],"crucial":[8],"domains":[10],"such":[11],"as":[12],"industrial":[13],"monitoring,":[14],"cybersecurity,":[15],"healthcare,":[16],"and":[17,58,80],"autonomous":[18],"driving.":[19],"Deep":[20],"learning":[21,57,101],"approaches":[22],"have":[23],"improved":[24],"anomaly":[25,34],"but":[27],"lack":[28],"interpretability.":[29,105],"We":[30,61],"propose":[31],"an":[32],"explainable":[33],"(XAD)":[36],"framework":[37,47],"using":[38],"a":[39],"sparse":[40,81],"non-linear":[41,55],"vector":[42,52],"autoregressive":[43],"network":[44],"(SNL-VAR-Net).":[45],"This":[46],"combines":[48],"neural":[49],"networks":[50],"with":[51,103],"autoregression":[53],"for":[54,78],"representation":[56],"interpretable":[59],"models.":[60],"employ":[62],"regularization":[63],"to":[64,99],"enforce":[65],"sparsity,":[66],"enabling":[67],"efficient":[68],"handling":[69],"of":[70,86],"long-range":[71],"dependencies.":[72],"Additionally,":[73],"augmented":[74],"Lagrange":[75],"multiplier-based":[76],"techniques":[77],"low-rank":[79],"decomposition":[82],"reduce":[83],"the":[84],"impact":[85],"noise.":[87],"Evaluation":[88],"on":[89],"publicly":[90],"available":[91],"datasets":[92],"shows":[93],"that":[94],"SNL-VAR-Net":[95],"offers":[96],"comparable":[97],"performance":[98],"deep":[100],"methods":[102],"better":[104]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
