{"id":"https://openalex.org/W2908513976","doi":"https://doi.org/10.1109/icsai.2018.8599390","title":"Drift Calibration for Machine Olfaction with an Online Active Learning Approach","display_name":"Drift Calibration for Machine Olfaction with an Online Active Learning Approach","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2908513976","doi":"https://doi.org/10.1109/icsai.2018.8599390","mag":"2908513976"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2018.8599390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2018.8599390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Systems and Informatics (ICSAI)","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/A5008976636","display_name":"Tao Liu","orcid":"https://orcid.org/0000-0002-9398-7005"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Liu","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101746856","display_name":"Dongqi Li","orcid":"https://orcid.org/0000-0002-2196-2714"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongqi Li","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410502","display_name":"Jianjun Chen","orcid":"https://orcid.org/0000-0002-1050-1189"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Chen","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038239000","display_name":"Mengya Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengya Wu","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079506590","display_name":"Yanbing Chen","orcid":"https://orcid.org/0000-0002-6818-0437"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbing Chen","raw_affiliation_strings":["School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16220253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"417","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11407","display_name":"Innovative Microfluidic and Catalytic Techniques Innovation","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10908","display_name":"Analytical Chemistry and Chromatography","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7520216107368469},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.7178200483322144},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6333342790603638},{"id":"https://openalex.org/keywords/electronic-nose","display_name":"Electronic nose","score":0.5912079811096191},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5083579421043396},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49466797709465027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4431454837322235},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4314967095851898},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.32815274596214294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10038101673126221},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08366605639457703}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520216107368469},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.7178200483322144},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6333342790603638},{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.5912079811096191},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5083579421043396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49466797709465027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4431454837322235},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4314967095851898},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.32815274596214294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10038101673126221},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08366605639457703}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2018.8599390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2018.8599390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W101663867","https://openalex.org/W1500731913","https://openalex.org/W1528361845","https://openalex.org/W1556045639","https://openalex.org/W1982827240","https://openalex.org/W1991443646","https://openalex.org/W2009484047","https://openalex.org/W2010910059","https://openalex.org/W2016494343","https://openalex.org/W2020033987","https://openalex.org/W2022103656","https://openalex.org/W2022851810","https://openalex.org/W2039222602","https://openalex.org/W2059477850","https://openalex.org/W2061163529","https://openalex.org/W2080021732","https://openalex.org/W2090763504","https://openalex.org/W2114661696","https://openalex.org/W2134837462","https://openalex.org/W2143794396","https://openalex.org/W2151023586","https://openalex.org/W2163232725","https://openalex.org/W2189385594","https://openalex.org/W2307623521","https://openalex.org/W2345487231","https://openalex.org/W2391057023","https://openalex.org/W2522998038","https://openalex.org/W2537084562","https://openalex.org/W2565530282","https://openalex.org/W2589267742","https://openalex.org/W2608224070","https://openalex.org/W2612026478","https://openalex.org/W2695071295","https://openalex.org/W2745562356","https://openalex.org/W2786517672","https://openalex.org/W2794068363","https://openalex.org/W2797242248","https://openalex.org/W2810921114","https://openalex.org/W4230030242","https://openalex.org/W6673059145","https://openalex.org/W6687218800","https://openalex.org/W6753178802","https://openalex.org/W7026588508"],"related_works":["https://openalex.org/W2802243998","https://openalex.org/W2469699777","https://openalex.org/W3201554469","https://openalex.org/W3112950814","https://openalex.org/W2368264659","https://openalex.org/W4307392573","https://openalex.org/W2060628068","https://openalex.org/W4200217704","https://openalex.org/W2161835057","https://openalex.org/W3208495060"],"abstract_inverted_index":{"Drift":[0],"counteraction":[1],"of":[2,53,58,133,167],"electronic":[3],"nose":[4],"(E-nose)":[5],"systems":[6],"has":[7],"become":[8],"a":[9,105],"challenging":[10],"topic":[11],"in":[12,76,202],"machine":[13],"olfaction.":[14],"It":[15],"is":[16,68,117],"considered":[17],"to":[18,33,60,72,85,119,141,147,158],"be":[19,42,177],"an":[20,92],"emerging":[21],"and":[22,70,163],"promising":[23],"analysis":[24],"approach":[25],"for":[26,114],"complicated":[27],"gas":[28],"compounds.":[29],"Many":[30],"studies":[31],"incline":[32],"solve":[34],"the":[35,62,127,131,143,160,172,180,194,199],"drift":[36,87,150,156],"problem":[37],"by":[38],"algorithms":[39],"which":[40,139],"should":[41],"heavily":[43],"dependent":[44],"on":[45,136],"calibrations.":[46,88],"Common":[47],"calibration":[48],"procedure":[49],"requires":[50],"sufficient":[51],"amount":[52],"samples":[54],"with":[55,100,124,193],"entire":[56],"kinds":[57],"labels":[59],"demonstrate":[61],"drifting":[63],"distributions.":[64],"However,":[65],"such":[66],"requirement":[67],"costly":[69],"laborious":[71],"achieve,":[73],"even":[74],"unattainable":[75],"continuous":[77],"online":[78,86,98,121],"scenarios.":[79],"We":[80,152],"therefore":[81],"make":[82],"two":[83,154],"contributions":[84],"Primarily":[89],"we":[90],"redesign":[91],"active":[93,181,195],"learning":[94],"(AL)":[95],"framework":[96,116,162,183,197],"oriented":[97],"mode":[99],"limited":[101],"storage":[102],"resources.":[103],"Secondly,":[104],"novel":[106],"instance-selection":[107],"method,":[108],"named":[109],"min-max":[110],"confidence":[111],"(MMC)":[112],"strategy,":[113],"AL":[115,182,196],"proposed":[118,161],"handle":[120],"data.":[122],"Compared":[123],"conventional":[125],"strategies,":[126],"MMC":[128,190],"method":[129],"emphasizes":[130],"balance":[132],"selected":[134],"instances":[135],"data":[137],"distribution,":[138],"helps":[140],"choose":[142],"most":[144],"valuable":[145],"instance":[146],"label":[148],"under":[149],"condition.":[151],"adopt":[153],"E-nose":[155],"databases":[157],"assess":[159],"strategy.":[164],"The":[165,189],"results":[166],"experiments":[168],"have":[169],"indicated":[170],"that":[171],"satisfactory":[173],"recognition":[174],"accuracies":[175],"could":[176],"obtained":[178],"from":[179],"rather":[184],"than":[185],"other":[186],"drift-counteraction":[187],"frameworks.":[188],"strategy":[191],"coupled":[192],"reaches":[198],"highest":[200],"accuracy":[201],"comparison.":[203]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}