{"id":"https://openalex.org/W4390224532","doi":"https://doi.org/10.1109/tkde.2023.3347356","title":"Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation","display_name":"Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation","publication_year":2023,"publication_date":"2023-12-26","ids":{"openalex":"https://openalex.org/W4390224532","doi":"https://doi.org/10.1109/tkde.2023.3347356"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3347356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3347356","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data 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/A5018593470","display_name":"Zhenxiang Cao","orcid":"https://orcid.org/0000-0002-2489-9167"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Zhenxiang Cao","raw_affiliation_strings":["Leuven.AI - KU Leuven Institute for AI, Leuven, Belgium","Leuven.AI - KU Leuven institute for AI, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-2489-9167","affiliations":[{"raw_affiliation_string":"Leuven.AI - KU Leuven Institute for AI, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Leuven.AI - KU Leuven institute for AI, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058516663","display_name":"Nick Seeuws","orcid":"https://orcid.org/0000-0002-7024-3417"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Nick Seeuws","raw_affiliation_strings":["Leuven.AI - KU Leuven Institute for AI, Leuven, Belgium","Leuven.AI - KU Leuven institute for AI, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-7024-3417","affiliations":[{"raw_affiliation_string":"Leuven.AI - KU Leuven Institute for AI, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Leuven.AI - KU Leuven institute for AI, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064593698","display_name":"Maarten De Vos","orcid":"https://orcid.org/0000-0002-3482-5145"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Maarten De Vos","raw_affiliation_strings":["Leuven.AI - KU Leuven Institute for AI, Leuven, Belgium","Leuven.AI - KU Leuven institute for AI, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-3482-5145","affiliations":[{"raw_affiliation_string":"Leuven.AI - KU Leuven Institute for AI, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Leuven.AI - KU Leuven institute for AI, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065884964","display_name":"Alexander Bertrand","orcid":"https://orcid.org/0000-0002-4827-8568"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Alexander Bertrand","raw_affiliation_strings":["Leuven.AI - KU Leuven Institute for AI, Leuven, Belgium","Leuven.AI - KU Leuven institute for AI, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-4827-8568","affiliations":[{"raw_affiliation_string":"Leuven.AI - KU Leuven Institute for AI, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Leuven.AI - KU Leuven institute for AI, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":1.5657,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84693025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"36","issue":"12","first_page":"7743","last_page":"7756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9771999716758728,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9771999716758728,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9419999718666077,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9355999827384949,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.7651780843734741},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6786651611328125},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5879580974578857},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5826401710510254},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5195832252502441},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4946729838848114},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49208468198776245},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48687615990638733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4835655391216278},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4740599989891052},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.44502919912338257},{"id":"https://openalex.org/keywords/time-point","display_name":"Time point","score":0.4236927330493927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3638353943824768},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3203921318054199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11333930492401123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651780843734741},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6786651611328125},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5879580974578857},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5826401710510254},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5195832252502441},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4946729838848114},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49208468198776245},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48687615990638733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4835655391216278},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4740599989891052},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.44502919912338257},{"id":"https://openalex.org/C2779466056","wikidata":"https://www.wikidata.org/wiki/Q107630651","display_name":"Time point","level":2,"score":0.4236927330493927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3638353943824768},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3203921318054199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11333930492401123},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2023.3347356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3347356","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/735294","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/735294","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ieee Transactions On Knowledge And Data Engineering, vol. 36 (12), (7743-7756)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1481215529","https://openalex.org/W1491711721","https://openalex.org/W1560368109","https://openalex.org/W1682770403","https://openalex.org/W1985832257","https://openalex.org/W1997184885","https://openalex.org/W2019478724","https://openalex.org/W2028563099","https://openalex.org/W2045893916","https://openalex.org/W2064675550","https://openalex.org/W2077760583","https://openalex.org/W2090985066","https://openalex.org/W2096270777","https://openalex.org/W2098277968","https://openalex.org/W2102794086","https://openalex.org/W2136848157","https://openalex.org/W2142561902","https://openalex.org/W2157331557","https://openalex.org/W2163339323","https://openalex.org/W2167311767","https://openalex.org/W2172697690","https://openalex.org/W2584499795","https://openalex.org/W2892644395","https://openalex.org/W2906498146","https://openalex.org/W2911475851","https://openalex.org/W2964208235","https://openalex.org/W2981654920","https://openalex.org/W3010896178","https://openalex.org/W3015257908","https://openalex.org/W3080624533","https://openalex.org/W3089341989","https://openalex.org/W3097560331","https://openalex.org/W3109518304","https://openalex.org/W4248979535","https://openalex.org/W4287826930","https://openalex.org/W4289146965","https://openalex.org/W4312299388","https://openalex.org/W4386215669","https://openalex.org/W6605479355","https://openalex.org/W6628583698","https://openalex.org/W6703462417","https://openalex.org/W6748034048","https://openalex.org/W6758290262","https://openalex.org/W6758324135","https://openalex.org/W6767290199","https://openalex.org/W6855885668"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2799765340","https://openalex.org/W3063265332","https://openalex.org/W2941162567","https://openalex.org/W2073956641","https://openalex.org/W1977661272","https://openalex.org/W1535949710"],"abstract_inverted_index":{"Change":[0],"Point":[1],"Detection":[2],"(CPD)":[3],"refers":[4],"to":[5,25,57],"the":[6,13,101,117],"task":[7],"of":[8,17,120],"identifying":[9],"abrupt":[10],"changes":[11,71],"in":[12,52,72,94],"characteristics":[14],"or":[15],"statistics":[16],"time":[18,96],"series":[19,97],"data.":[20],"Recent":[21],"advancements":[22],"have":[23],"led":[24],"a":[26],"shift":[27],"away":[28],"from":[29],"traditional":[30],"model-based":[31],"CPD":[32,83,132],"approaches,":[33],"which":[34,127],"rely":[35],"on":[36,100,110],"predefined":[37],"statistical":[38],"distributions,":[39],"toward":[40],"neural":[41],"network-based":[42],"and":[43,90,113],"distribution-free":[44,82],"methods":[45,51],"using":[46],"autoencoders.":[47],"However,":[48],"many":[49],"state-of-the-art":[50],"this":[53,76],"category":[54],"often":[55],"neglect":[56],"explicitly":[58,86],"leverage":[59],"spatial":[60,91],"information":[61,93],"across":[62],"multiple":[63],"channels,":[64],"making":[65],"them":[66],"less":[67],"effective":[68],"at":[69],"detecting":[70],"cross-channel":[73],"statistics.":[74],"In":[75],"paper,":[77],"we":[78],"introduce":[79],"an":[80],"unsupervised,":[81],"method":[84],"that":[85],"incorporates":[87],"both":[88,111],"temporal":[89],"(cross-channel)":[92],"multi-channel":[95,123],"data":[98],"based":[99],"so-called":[102],"Time-Invariant":[103],"Representation":[104],"(TIRE)":[105],"autoencoder.":[106],"Our":[107],"evaluation,":[108],"conducted":[109],"simulated":[112],"real-life":[114],"datasets,":[115],"illustrates":[116],"significant":[118],"advantages":[119],"our":[121],"proposed":[122],"TIRE":[124],"(MC-TIRE)":[125],"method,":[126],"consistently":[128],"delivers":[129],"more":[130],"accurate":[131],"results.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}