{"id":"https://openalex.org/W2133107823","doi":"https://doi.org/10.1109/ijcnn.2011.6033600","title":"A hierarchical, nonparametric, sequential change-detection test","display_name":"A hierarchical, nonparametric, sequential change-detection test","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2133107823","doi":"https://doi.org/10.1109/ijcnn.2011.6033600","mag":"2133107823"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2011.6033600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ijcnn.2011.6033600","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6033600","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2011 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6033600","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005003786","display_name":"Cesare Alippi","orcid":"https://orcid.org/0000-0003-3819-0025"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Cesare Alippi","raw_affiliation_strings":["Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy","[Politecnico di Milano, Dipartimento di Elettronica e Informazione, Italy]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"[Politecnico di Milano, Dipartimento di Elettronica e Informazione, Italy]","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006716646","display_name":"Giacomo Boracchi","orcid":"https://orcid.org/0000-0002-1650-3054"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giacomo Boracchi","raw_affiliation_strings":["Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy","[Politecnico di Milano, Dipartimento di Elettronica e Informazione, Italy]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"[Politecnico di Milano, Dipartimento di Elettronica e Informazione, Italy]","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035547226","display_name":"Manuel Roveri","orcid":"https://orcid.org/0000-0001-7828-7687"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Manuel Roveri","raw_affiliation_strings":["Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy","[Politecnico di Milano, Dipartimento di Elettronica e Informazione, Italy]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"[Politecnico di Milano, Dipartimento di Elettronica e Informazione, Italy]","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005003786"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":2.9298,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.92038244,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6353","issue":null,"first_page":"2889","last_page":"2896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.8200870752334595},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.804053783416748},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7981804609298706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7664037942886353},{"id":"https://openalex.org/keywords/false-positives-and-false-negatives","display_name":"False positives and false negatives","score":0.7254526615142822},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7146426439285278},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5794991850852966},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5772207379341125},{"id":"https://openalex.org/keywords/sequential-analysis","display_name":"Sequential analysis","score":0.506091296672821},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4200061559677124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4147115647792816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33056867122650146},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11013299226760864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09903573989868164}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8200870752334595},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.804053783416748},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7981804609298706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664037942886353},{"id":"https://openalex.org/C112789634","wikidata":"https://www.wikidata.org/wiki/Q18207010","display_name":"False positives and false negatives","level":3,"score":0.7254526615142822},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7146426439285278},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5794991850852966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5772207379341125},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.506091296672821},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4200061559677124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4147115647792816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33056867122650146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11013299226760864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09903573989868164},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2011.6033600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ijcnn.2011.6033600","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6033600","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2011 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/641332","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/641332","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1109/ijcnn.2011.6033600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ijcnn.2011.6033600","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6033600","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2011 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W31864260","https://openalex.org/W300721812","https://openalex.org/W1472956380","https://openalex.org/W1969923328","https://openalex.org/W1972978214","https://openalex.org/W1990564245","https://openalex.org/W2012037220","https://openalex.org/W2044036264","https://openalex.org/W2051903196","https://openalex.org/W2061974965","https://openalex.org/W2091083310","https://openalex.org/W2091311817","https://openalex.org/W2095649426","https://openalex.org/W2100735174","https://openalex.org/W2111813926","https://openalex.org/W2122273212","https://openalex.org/W2142187017","https://openalex.org/W2166481425","https://openalex.org/W2167770337","https://openalex.org/W2319041464","https://openalex.org/W2917342912","https://openalex.org/W4230704549","https://openalex.org/W4239453969","https://openalex.org/W4253481229","https://openalex.org/W4255375128","https://openalex.org/W4299025535","https://openalex.org/W4301420330","https://openalex.org/W6601290979","https://openalex.org/W6674621959"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W1973412793","https://openalex.org/W2099261052","https://openalex.org/W4292605373","https://openalex.org/W2951146195","https://openalex.org/W4226316650","https://openalex.org/W3123215897","https://openalex.org/W2153600354","https://openalex.org/W2086871282"],"abstract_inverted_index":{"Design":[0],"of":[1,35,40,72,74,101,114,120,124,134],"applications":[2],"working":[3],"in":[4],"nonstationary":[5],"environments":[6],"requires":[7],"the":[8,18,25,33,112,118,132,135],"ability":[9],"to":[10,81,97],"detect":[11,98],"and":[12,59,127,142],"anticipate":[13],"possible":[14,99],"behavioral":[15],"changes":[16,102],"affecting":[17],"system":[19],"under":[20],"investigation.":[21],"In":[22],"this":[23,86],"direction,":[24],"literature":[26],"provides":[27],"several":[28],"tests":[29,48,63],"aiming":[30],"at":[31,117],"assessing":[32],"stationarity":[34],"a":[36,90,121],"data":[37],"generating":[38],"process;":[39],"particular":[41],"interest":[42],"are":[43],"nonparametric":[44],"sequential":[45],"change-point":[46],"detection":[47,128],"that":[49],"do":[50],"not":[51],"require":[52],"any":[53],"a-priori":[54],"information":[55],"regarding":[56],"both":[57,138],"process":[58],"change.":[60],"Moreover,":[61],"such":[62],"can":[64],"be":[65],"made":[66],"automatic":[67],"through":[68],"an":[69],"on-line":[70],"inspection":[71],"sequences":[73],"data,":[75],"hence":[76],"making":[77],"them":[78],"particularly":[79],"interesting":[80],"address":[82],"real":[83,145],"applications.":[84,146],"Following":[85],"approach,":[87],"we":[88],"suggest":[89],"novel":[91],"two-level":[92],"hierarchical":[93,108],"change-detection":[94],"test":[95],"designed":[96],"occurrences":[100],"by":[103],"observing":[104],"incoming":[105],"measurements.":[106],"This":[107],"solution":[109],"significantly":[110],"reduces":[111],"number":[113],"false":[115,125],"positives":[116],"expenses":[119],"negligible":[122],"increase":[123],"negatives":[126],"delays.":[129],"Experiments":[130],"show":[131],"effectiveness":[133],"proposed":[136],"approach":[137],"on":[139],"synthetic":[140],"dataset":[141],"measurements":[143],"from":[144]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}