{"id":"https://openalex.org/W2903909161","doi":"https://doi.org/10.1609/aaai.v33i01.33015733","title":"Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach","display_name":"Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2903909161","doi":"https://doi.org/10.1609/aaai.v33i01.33015733","mag":"2903909161"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33015733","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015733","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v33i01.33015733","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100374122","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0002-4767-9597"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074834854","display_name":"Steven C. H. Hoi","orcid":"https://orcid.org/0000-0002-4584-3453"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven C.H. Hoi","raw_affiliation_strings":["Southern Methodist University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Methodist University","institution_ids":["https://openalex.org/I178169726"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9841,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.81203648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"5733","last_page":"5740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9980000257492065,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9980000257492065,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9760000109672546,"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/computer-science","display_name":"Computer science","score":0.751947820186615},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.7067415714263916},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.6112543940544128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5485273003578186},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5409771203994751},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4876598119735718},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.459815114736557},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4498922526836395},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44957032799720764},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44163185358047485},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4199508726596832},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4102098047733307},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11682754755020142},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08766999840736389}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751947820186615},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7067415714263916},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.6112543940544128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5485273003578186},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5409771203994751},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4876598119735718},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.459815114736557},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4498922526836395},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44957032799720764},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44163185358047485},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4199508726596832},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4102098047733307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11682754755020142},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08766999840736389},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1609/aaai.v33i01.33015733","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015733","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4519","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4519","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4519/4397","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-6107","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/5104","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1609/aaai.v33i01.33015733","raw_type":"Conference Proceeding Article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33015733","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015733","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1710072052","display_name":null,"funder_award_id":"AISG-RP-2018-001","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1546020435","https://openalex.org/W1850547517","https://openalex.org/W2020254732","https://openalex.org/W2045067839","https://openalex.org/W2085300404","https://openalex.org/W2136051823","https://openalex.org/W2140539195","https://openalex.org/W2142851111","https://openalex.org/W2147967768","https://openalex.org/W2157202423","https://openalex.org/W2237158255","https://openalex.org/W2515822248","https://openalex.org/W2573607665","https://openalex.org/W2607420770","https://openalex.org/W2752364363","https://openalex.org/W2769948160","https://openalex.org/W2785952199","https://openalex.org/W2962743682","https://openalex.org/W2962950489","https://openalex.org/W3008801451","https://openalex.org/W3011969122","https://openalex.org/W3098156977","https://openalex.org/W4247148598","https://openalex.org/W4297785562","https://openalex.org/W4302420972","https://openalex.org/W6660839224","https://openalex.org/W6679929476","https://openalex.org/W6681605418","https://openalex.org/W6694232269","https://openalex.org/W6732044312","https://openalex.org/W6743600924","https://openalex.org/W6748081988","https://openalex.org/W6992022558"],"related_works":["https://openalex.org/W1994680671","https://openalex.org/W2000283393","https://openalex.org/W2002320543","https://openalex.org/W2150232912","https://openalex.org/W2054940838","https://openalex.org/W2061947244","https://openalex.org/W4321855183","https://openalex.org/W15793755","https://openalex.org/W3106170641","https://openalex.org/W4298316935"],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"machine":[3],"learning":[4,37,96,116,181],"to":[5,26,41,65,82,90,100,118,135],"address":[6],"a":[7,19,28,69,85,122,158,198],"problem":[8,162],"of":[9,21,87,193],"Partially":[10],"Observable":[11],"Multi-sensor":[12],"Sequential":[13,44],"Change":[14,45],"Detection":[15,46],"(POMSCD),":[16],"where":[17,48],"only":[18,63],"subset":[20,86,154],"sensors":[22,51,89],"can":[23],"be":[24,91],"observed":[25,75,92],"monitor":[27],"target":[29],"system":[30],"for":[31,177],"change-point":[32],"detection":[33,106],"at":[34],"each":[35],"online":[36,115,180],"round.":[38],"In":[39,108],"contrast":[40],"traditional":[42],"Multisensor":[43],"tasks":[47],"all":[49],"the":[50,60,94,102,113,152,178],"are":[52],"observable,":[53],"POMSCD":[54,120],"is":[55],"much":[56],"more":[57],"challenging":[58],"because":[59],"learner":[61],"not":[62],"needs":[64,81],"detect":[66,136],"on-the-fly":[67],"whether":[68],"change":[70,105],"occurs":[71],"based":[72],"on":[73,201],"partially":[74],"multi-sensor":[76],"data":[77,203],"streams,":[78],"but":[79],"also":[80],"cleverly":[83],"choose":[84],"informative":[88],"in":[93,98,121],"next":[95],"round,":[97],"order":[99],"maximize":[101],"overall":[103],"sequential":[104],"performance.":[107],"this":[109],"paper,":[110],"we":[111,133,150],"present":[112],"first":[114],"study":[117,200],"tackle":[119],"systemic":[123],"and":[124,148,163,183],"rigorous":[125],"way.":[126],"Our":[127],"approach":[128],"has":[129],"twofold":[130],"novelties:":[131],"(i)":[132],"attempt":[134],"changepoints":[137],"from":[138],"partial":[139],"observations":[140],"effectively":[141],"by":[142],"exploiting":[143],"potential":[144],"correlations":[145],"between":[146],"sensors,":[147],"(ii)":[149],"formulate":[151],"sensor":[153],"selection":[155],"task":[156],"as":[157],"Multi-Armed":[159],"Bandit":[160],"(MAB)":[161],"develop":[164],"an":[165,190],"effective":[166],"adaptive":[167],"sampling":[168],"strategy":[169],"using":[170],"MAB":[171],"algorithms.":[172],"We":[173],"offer":[174],"theoretical":[175],"analysis":[176],"proposed":[179],"solution,":[182],"further":[184],"validate":[185],"its":[186],"empirical":[187],"performance":[188],"via":[189],"extensive":[191],"set":[192],"numerical":[194],"studies":[195],"together":[196],"with":[197],"case":[199],"real-world":[202],"sets.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}