{"id":"https://openalex.org/W2977584137","doi":"https://doi.org/10.1109/ijcnn.2019.8851731","title":"Learning Convolutional Neural Networks in presence of Concept Drift","display_name":"Learning Convolutional Neural Networks in presence of Concept Drift","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977584137","doi":"https://doi.org/10.1109/ijcnn.2019.8851731","mag":"2977584137"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5027716492","display_name":"Simone Disabato","orcid":"https://orcid.org/0000-0001-5991-2651"},"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":"Simone Disabato","raw_affiliation_strings":["Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano, Milano, 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, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027716492"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":1.6802,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88486687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9904999732971191,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9848999977111816,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.8727318644523621},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7612749338150024},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6947459578514099},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6333190202713013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6245647668838501},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.5741653442382812},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5711876153945923},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5023818016052246},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4500494599342346},{"id":"https://openalex.org/keywords/adaptive-system","display_name":"Adaptive system","score":0.4444293677806854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3886071741580963}],"concepts":[{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.8727318644523621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7612749338150024},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6947459578514099},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6333190202713013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6245647668838501},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.5741653442382812},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5711876153945923},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5023818016052246},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4500494599342346},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.4444293677806854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3886071741580963},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1169416","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1169416","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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W27170557","https://openalex.org/W1481458213","https://openalex.org/W1505086392","https://openalex.org/W1533861849","https://openalex.org/W1547629709","https://openalex.org/W1904826605","https://openalex.org/W1981904416","https://openalex.org/W1990079212","https://openalex.org/W1998399571","https://openalex.org/W2010657328","https://openalex.org/W2044535354","https://openalex.org/W2051903196","https://openalex.org/W2053154469","https://openalex.org/W2068319486","https://openalex.org/W2099419573","https://openalex.org/W2117539524","https://openalex.org/W2119885577","https://openalex.org/W2133088989","https://openalex.org/W2149933564","https://openalex.org/W2156749117","https://openalex.org/W2157103390","https://openalex.org/W2163605009","https://openalex.org/W2167215970","https://openalex.org/W2194775991","https://openalex.org/W2345132057","https://openalex.org/W2506086943","https://openalex.org/W2617162786","https://openalex.org/W2798371872","https://openalex.org/W2950248853","https://openalex.org/W2963037989","https://openalex.org/W2963739929","https://openalex.org/W3196620053","https://openalex.org/W4248979535","https://openalex.org/W4249116379","https://openalex.org/W4285719527","https://openalex.org/W4299518610","https://openalex.org/W6628873980","https://openalex.org/W6631943919","https://openalex.org/W6663682518","https://openalex.org/W6682132143","https://openalex.org/W6682764186","https://openalex.org/W6684191040","https://openalex.org/W6684563725"],"related_works":["https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W4239323784","https://openalex.org/W4256731670","https://openalex.org/W2537318351"],"abstract_inverted_index":{"Designing":[0],"adaptive":[1,35,58,73],"machine":[2],"learning":[3,61],"systems":[4,36],"able":[5,63],"to":[6,38,64,98,112],"operate":[7,65],"in":[8,66],"nonstationary":[9],"conditions,":[10],"also":[11],"called":[12],"concept":[13,69,89,110],"drift,":[14,90],"is":[15,82],"a":[16,30,88],"novel":[17],"and":[18,43,91,131],"promising":[19],"research":[20],"area.":[21],"Convolutional":[22],"Neural":[23],"Networks":[24],"(CNNs)":[25],"have":[26],"not":[27],"been":[28,124],"considered":[29],"viable":[31],"solution":[32,122],"for":[33,51,60],"such":[34],"due":[37],"the":[39,44,52,80,85,94,105,109,113,120],"high":[40,45],"computational":[41],"load":[42],"number":[46],"of":[47,68,87,101,119,129],"images":[48],"they":[49],"require":[50],"training.":[53],"This":[54],"paper":[55],"introduces":[56],"an":[57,72,76],"mechanism":[59,74],"CNNs":[62,130],"presence":[67],"drift.":[70],"Such":[71],"follows":[75],"\"active":[77],"approach\",":[78],"where":[79],"adaptation":[81],"triggered":[83],"by":[84],"detection":[86],"relies":[92],"on":[93,126],"\"transfer":[95],"learning\"":[96],"paradigm":[97],"transfer":[99],"(part":[100],"the)":[102],"knowledge":[103],"from":[104],"CNN":[106],"operating":[107,115],"before":[108],"drift":[111],"one":[114],"after.":[116],"The":[117],"effectiveness":[118],"proposed":[121],"has":[123],"evaluated":[125],"two":[127,132],"types":[128],"real-world":[133],"image":[134],"benchmarks.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
