{"id":"https://openalex.org/W4318604466","doi":"https://doi.org/10.1109/ssci51031.2022.10022140","title":"A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification","display_name":"A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4318604466","doi":"https://doi.org/10.1109/ssci51031.2022.10022140"},"language":"en","primary_location":{"id":"doi:10.1109/ssci51031.2022.10022140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci51031.2022.10022140","pdf_url":null,"source":{"id":"https://openalex.org/S4363605327","display_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/7659946","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068714009","display_name":"Kleanthis Malialis","orcid":"https://orcid.org/0000-0003-3432-7434"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"Kleanthis Malialis","raw_affiliation_strings":["KIOS Research and Innovation Center of Excellence, University of Cyprus,Nicosia,Cyprus","KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus","Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus"],"raw_orcid":"https://orcid.org/0000-0003-3432-7434","affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus,Nicosia,Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","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":["Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milan,Italy","Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7828-7687","affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","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":false,"raw_author_name":"Cesare Alippi","raw_affiliation_strings":["Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milan,Italy","Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3819-0025","affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milan,Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073317773","display_name":"Christos G. Panayiotou","orcid":"https://orcid.org/0000-0002-6476-9025"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Christos G. Panayiotou","raw_affiliation_strings":["KIOS Research and Innovation Center of Excellence, University of Cyprus,Nicosia,Cyprus","Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus","KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus"],"raw_orcid":"https://orcid.org/0000-0002-6476-9025","affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus,Nicosia,Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089297277","display_name":"Marios M. Polycarpou","orcid":"https://orcid.org/0000-0001-6495-9171"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Marios M. Polycarpou","raw_affiliation_strings":["KIOS Research and Innovation Center of Excellence, University of Cyprus,Nicosia,Cyprus","KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus","Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus"],"raw_orcid":"https://orcid.org/0000-0001-6495-9171","affiliations":[{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus,Nicosia,Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068714009"],"corresponding_institution_ids":["https://openalex.org/I34771391"],"apc_list":null,"apc_paid":null,"fwci":1.1475,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80757817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1021","last_page":"1027"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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":1.0,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.961899995803833,"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/concept-drift","display_name":"Concept drift","score":0.9171359539031982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7572522163391113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5686946511268616},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5601034164428711},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5227736830711365},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.45340555906295776},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41358864307403564},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.2610703408718109}],"concepts":[{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.9171359539031982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572522163391113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5686946511268616},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5601034164428711},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5227736830711365},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.45340555906295776},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41358864307403564},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.2610703408718109},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci51031.2022.10022140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci51031.2022.10022140","pdf_url":null,"source":{"id":"https://openalex.org/S4363605327","display_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:7659946","is_oa":true,"landing_page_url":"https://zenodo.org/record/7659946","pdf_url":"https://zenodo.org/record/7659946","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:7659946","is_oa":true,"landing_page_url":"https://zenodo.org/record/7659946","pdf_url":"https://zenodo.org/record/7659946","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G2277728842","display_name":null,"funder_award_id":"951424","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4318604466.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1585854823","https://openalex.org/W1593041439","https://openalex.org/W1677182931","https://openalex.org/W1904826605","https://openalex.org/W1982039810","https://openalex.org/W1990079212","https://openalex.org/W2000454347","https://openalex.org/W2012663856","https://openalex.org/W2068319486","https://openalex.org/W2073256825","https://openalex.org/W2088220893","https://openalex.org/W2099419573","https://openalex.org/W2105531169","https://openalex.org/W2107327607","https://openalex.org/W2114453181","https://openalex.org/W2118978333","https://openalex.org/W2123003172","https://openalex.org/W2129723167","https://openalex.org/W2142187017","https://openalex.org/W2160512933","https://openalex.org/W2506979122","https://openalex.org/W2585528949","https://openalex.org/W2602516395","https://openalex.org/W2604756720","https://openalex.org/W2617162786","https://openalex.org/W2758219826","https://openalex.org/W2894343638","https://openalex.org/W2898017895","https://openalex.org/W2913668833","https://openalex.org/W3089030408","https://openalex.org/W3090574047","https://openalex.org/W3100076810","https://openalex.org/W3104213083","https://openalex.org/W4255466416","https://openalex.org/W4293363567","https://openalex.org/W4295242637","https://openalex.org/W4318603366"],"related_works":["https://openalex.org/W2940903377","https://openalex.org/W3108897387","https://openalex.org/W4229924696","https://openalex.org/W4386121812","https://openalex.org/W4307392573","https://openalex.org/W2912132049","https://openalex.org/W2186919162","https://openalex.org/W2981673118","https://openalex.org/W4312068748","https://openalex.org/W4389493326"],"abstract_inverted_index":{"In":[0],"real-world":[1],"applications,":[2],"the":[3,6,25,53,112,133,143,152],"process":[4],"generating":[5],"data":[7],"might":[8,34],"suffer":[9],"from":[10,139],"nonstationary":[11],"effects":[12],"(e.g.,":[13],"due":[14],"to":[15,51,74,78,83,98,126],"seasonality,":[16],"faults":[17],"affecting":[18],"sensors":[19],"or":[20,90],"actuators,":[21],"and":[22,49,67,76,92,110,130,171,179],"changes":[23],"in":[24,58,142,174],"users'":[26],"behaviour).":[27],"These":[28],"changes,":[29],"often":[30],"called":[31,163],"concept":[32,61,79,85,116],"drift,":[33,129],"induce":[35],"severe":[36,188],"(potentially":[37],"catastrophic)":[38],"impacts":[39],"on":[40,157],"trained":[41],"learning":[42,69,113,177],"models":[43,70],"that":[44,71],"become":[45],"obsolete":[46],"over":[47],"time,":[48],"inadequate":[50],"solve":[52],"task":[54],"at":[55,64],"hand.":[56],"Learning":[57],"presence":[59],"of":[60,176],"drift":[62,86,107,117],"aims":[63],"designing":[65],"machine":[66],"deep":[68],"are":[72,87],"able":[73],"track":[75],"adapt":[77],"drift.":[80],"Typically,":[81],"techniques":[82,103,121],"handle":[84],"either":[88],"active":[89],"passive,":[91],"traditionally,":[93],"these":[94],"have":[95],"been":[96],"considered":[97],"be":[99],"mutually":[100],"exclusive.":[101],"Active":[102],"use":[104,122],"an":[105,123],"explicit":[106],"detection":[108],"mechanism,":[109],"re-train":[111],"algorithm":[114],"when":[115],"is":[118,185],"detected.":[119],"Passive":[120],"implicit":[124],"method":[125,162],"deal":[127],"with":[128],"continually":[131],"update":[132],"model":[134],"using":[135],"incremental":[136],"learning.":[137],"Differently":[138],"what":[140],"present":[141],"literature,":[144],"we":[145,181],"propose":[146],"a":[147],"hybrid":[148],"alternative":[149],"which":[150],"merges":[151],"two":[153],"approaches,":[154],"hence,":[155],"leveraging":[156],"their":[158],"advantages.":[159],"The":[160],"proposed":[161],"Hybrid-Adaptive":[164],"REBAlancing":[165],"(HAREBA)":[166],"significantly":[167],"outperforms":[168],"strong":[169],"baselines":[170],"state-of-the-art":[172],"methods":[173],"terms":[175],"quality":[178],"speed;":[180],"experiment":[182],"how":[183],"it":[184],"effective":[186],"under":[187],"class":[189],"imbalance":[190],"levels":[191],"too.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}