{"id":"https://openalex.org/W4416583047","doi":"https://doi.org/10.1109/dsaa65442.2025.11247971","title":"Operational Evaluation of Algorithms for Online Streaming Continual Multi-Label Classification","display_name":"Operational Evaluation of Algorithms for Online Streaming Continual Multi-Label Classification","publication_year":2025,"publication_date":"2025-10-09","ids":{"openalex":"https://openalex.org/W4416583047","doi":"https://doi.org/10.1109/dsaa65442.2025.11247971"},"language":null,"primary_location":{"id":"doi:10.1109/dsaa65442.2025.11247971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa65442.2025.11247971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 12th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-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/A5120274933","display_name":"Hugo Peuzet","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109587","display_name":"Laboratoire de Thermique et Energie de Nantes","ror":"https://ror.org/021fdyt09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210095849","https://openalex.org/I4210109587","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Hugo Peuzet","raw_affiliation_strings":["Laboratory of Digital Sciences of Nantes,Nantes,France"],"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Sciences of Nantes,Nantes,France","institution_ids":["https://openalex.org/I4210109587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111985039","display_name":"Pascale Kuntz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109587","display_name":"Laboratoire de Thermique et Energie de Nantes","ror":"https://ror.org/021fdyt09","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210095849","https://openalex.org/I4210109587","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pascale Kuntz","raw_affiliation_strings":["Laboratory of Digital Sciences of Nantes,Nantes,France"],"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Sciences of Nantes,Nantes,France","institution_ids":["https://openalex.org/I4210109587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028662508","display_name":"Frank Meyer","orcid":"https://orcid.org/0000-0001-9819-1914"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frank Meyer","raw_affiliation_strings":["Orange Labs,Lannion,France"],"affiliations":[{"raw_affiliation_string":"Orange Labs,Lannion,France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027190882","display_name":"Vincent Lemaire","orcid":"https://orcid.org/0000-0002-0433-7722"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Lemaire","raw_affiliation_strings":["Orange Labs,Lannion,France"],"affiliations":[{"raw_affiliation_string":"Orange Labs,Lannion,France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120376274","display_name":"Killian Le Mau","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Killian Le Mau","raw_affiliation_strings":["Orange Labs,Lannion,France"],"affiliations":[{"raw_affiliation_string":"Orange Labs,Lannion,France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5120274933"],"corresponding_institution_ids":["https://openalex.org/I4210109587"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20215595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9868000149726868,"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":0.9868000149726868,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.003100000089034438,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0007999999797903001,"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/field","display_name":"Field (mathematics)","score":0.6679999828338623},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5501000285148621},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5108000040054321},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45559999346733093},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.33059999346733093},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.3301999866962433},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.323199987411499},{"id":"https://openalex.org/keywords/online-model","display_name":"Online model","score":0.31610000133514404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7926999926567078},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6679999828338623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5788000226020813},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5501000285148621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5356000065803528},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5108000040054321},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46369999647140503},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45559999346733093},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.2962000072002411},{"id":"https://openalex.org/C13926793","wikidata":"https://www.wikidata.org/wiki/Q3507155","display_name":"Group method of data handling","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa65442.2025.11247971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa65442.2025.11247971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 12th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1524416683","https://openalex.org/W1570963478","https://openalex.org/W1682403713","https://openalex.org/W1998498767","https://openalex.org/W2099419573","https://openalex.org/W2123217057","https://openalex.org/W2129113961","https://openalex.org/W2146241755","https://openalex.org/W2150376021","https://openalex.org/W2565989828","https://openalex.org/W2609165678","https://openalex.org/W2626498001","https://openalex.org/W2758219826","https://openalex.org/W2767245172","https://openalex.org/W2972567486","https://openalex.org/W3042443324","https://openalex.org/W3048804154","https://openalex.org/W3091958244","https://openalex.org/W3097652319","https://openalex.org/W3135732118","https://openalex.org/W3155183214","https://openalex.org/W3203313709","https://openalex.org/W4205640817","https://openalex.org/W4224267307","https://openalex.org/W4281726436","https://openalex.org/W4283381313","https://openalex.org/W4312210066","https://openalex.org/W4382583646","https://openalex.org/W4385763953","https://openalex.org/W4385863749","https://openalex.org/W4386065403","https://openalex.org/W4386076061","https://openalex.org/W4390189882","https://openalex.org/W4390872468","https://openalex.org/W4391842799","https://openalex.org/W4392173735","https://openalex.org/W4409480415"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"progress":[1],"has":[2,25,177],"been":[3],"made":[4],"in":[5,67,90],"the":[6,31,68,85,94,120,129,182],"field":[7],"of":[8,34,87,122,126,131,185],"multilabel":[9],"streaming":[10],"classification,":[11],"where":[12],"an":[13,137],"instance":[14],"can":[15],"be":[16],"associated":[17],"with":[18,189],"several":[19],"labels":[20],"simultaneously.":[21],"Most":[22],"recent":[23],"research":[24],"focused":[26],"on":[27,105,165],"adapting":[28],"models":[29],"to":[30,45,74,84,92,118,148,158,180],"dynamic":[32],"distribution":[33],"nonstationary":[35],"data":[36,69,107,190],"streams.":[37],"However,":[38],"continual":[39,149,161],"learning":[40,103,150],"is":[41,112,156],"not":[42],"only":[43],"adaptation":[44],"concept":[46],"drift:":[47],"phenomena":[48,146],"such":[49],"as":[50,53,55],"catastrophic":[51],"forgetting,":[52],"well":[54],"forward":[56],"and":[57,78,115,133,136,151,170],"backward":[58],"transfers,":[59],"appear":[60],"when":[61],"new":[62,100],"classification":[63,163],"tasks":[64],"are":[65],"introduced":[66],"stream.":[70,108],"This":[71,109,174],"paper":[72],"aims":[73],"develop":[75],"a":[76,123],"standardized":[77],"operational":[79],"evaluation":[80,138],"protocol":[81,139],"specifically":[82],"adapted":[83],"study":[86],"these":[88],"phenomena,":[89],"order":[91],"identify":[93,181],"most":[95],"promising":[96,183],"strategies":[97,164],"for":[98,140],"this":[99],"multi-label,":[101],"multi-task":[102,134],"problem":[104],"tabular":[106],"protocol,":[110],"which":[111],"reproducible,":[113],"fair,":[114],"flexible":[116],"enough":[117],"allow":[119],"simulation":[121],"large":[124],"number":[125],"scenarios,":[127],"includes":[128],"creation":[130],"multi-label":[132,162],"streams,":[135],"measuring":[141],"(a)":[142],"online":[143],"performance,":[144],"(b)":[145],"linked":[147],"(c)":[152],"resources":[153],"consumed.":[154],"It":[155],"tested":[157],"compare":[159],"18":[160],"6":[166],"open":[167],"literature":[168],"datasets":[169],"3":[171],"simulated":[172],"datasets.":[173],"exploratory":[175],"analysis":[176],"enabled":[178],"us":[179],"nature":[184],"neural":[186],"networks":[187],"coupled":[188],"replay.":[191]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-25T00:00:00"}