{"id":"https://openalex.org/W3010264423","doi":"https://doi.org/10.1109/icsai48974.2019.9010163","title":"A Human-in-the-Loop Method for Developing Machine Learning Applications","display_name":"A Human-in-the-Loop Method for Developing Machine Learning Applications","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3010264423","doi":"https://doi.org/10.1109/icsai48974.2019.9010163","mag":"3010264423"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th 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/A5100695665","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-3410-7856"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Yang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743027","display_name":"Menghan Li","orcid":"https://orcid.org/0000-0003-0389-7629"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menghan Li","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047741026","display_name":"Jianlong Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlong Ren","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109622633","display_name":"Chun Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Zuo","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008898028","display_name":"Jiajia Ma","orcid":"https://orcid.org/0009-0001-9243-3457"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Ma","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000645671","display_name":"Weiyi Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyi Kong","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100695665"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7281349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"492","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.8285418152809143},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6494767665863037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5833368897438049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5776098370552063},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5679164528846741},{"id":"https://openalex.org/keywords/loop","display_name":"Loop (graph theory)","score":0.5258565545082092},{"id":"https://openalex.org/keywords/offline-learning","display_name":"Offline learning","score":0.5206652879714966},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.3323851227760315},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.10814130306243896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8285418152809143},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6494767665863037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5833368897438049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5776098370552063},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5679164528846741},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.5258565545082092},{"id":"https://openalex.org/C2780490138","wikidata":"https://www.wikidata.org/wiki/Q7079636","display_name":"Offline learning","level":3,"score":0.5206652879714966},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.3323851227760315},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.10814130306243896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1968326021","https://openalex.org/W2099419573","https://openalex.org/W2109021302","https://openalex.org/W2184059664","https://openalex.org/W2186615578","https://openalex.org/W2310148953","https://openalex.org/W2402144811","https://openalex.org/W2519338267","https://openalex.org/W2558644883","https://openalex.org/W2607311634","https://openalex.org/W2810918175","https://openalex.org/W2898178377","https://openalex.org/W2952602496","https://openalex.org/W2953027140","https://openalex.org/W2953384591","https://openalex.org/W4295837449","https://openalex.org/W6639102338","https://openalex.org/W6676470270","https://openalex.org/W6686348717","https://openalex.org/W6686509673","https://openalex.org/W6713134421","https://openalex.org/W6726612147","https://openalex.org/W6730350385","https://openalex.org/W6752738223"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W2885094885","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4206659689"],"abstract_inverted_index":{"An":[0],"intelligent":[1],"system":[2,18,51,111],"is":[3,19,52],"usually":[4],"built":[5],"based":[6],"on":[7,104],"a":[8,17,67,83,109],"machine-learning":[9],"model":[10,35],"trained":[11],"over":[12],"offline":[13,34,59],"datasets.":[14],"However,":[15],"such":[16],"difficult":[20],"to":[21,23,76],"adapt":[22],"new":[24,27],"patterns":[25],"or":[26],"data":[28,95],"in":[29,48,58],"the":[30,49,105,121,124],"online":[31,39,50],"environment,":[32],"i.e.":[33],"has":[36],"relatively":[37,84],"poor":[38],"generalization.":[40],"Moreover,":[41],"understanding":[42],"and":[43,62,74,80,93,99,113],"solving":[44],"errors":[45,56],"taking":[46],"place":[47],"also":[53],"hard":[54],"because":[55],"arise":[57],"training":[60],"pipelines":[61],"could":[63],"propagate.":[64],"We":[65],"propose":[66],"novel":[68],"systematic":[69],"method,":[70,106],"including":[71],"design,":[72],"architecture,":[73],"implementation":[75],"mix":[77],"people's":[78],"experience":[79],"intelligence":[81],"with":[82],"low":[85],"cost.":[86],"The":[87,118],"method":[88],"includes":[89],"three":[90],"negative-feedback":[91],"loops":[92],"one":[94],"loop,":[96],"supporting":[97],"iterative":[98],"incremental":[100],"developing":[101],"procedure.":[102],"Based":[103],"we":[107],"implemented":[108],"general":[110],"architecture":[112],"conducted":[114],"two":[115],"case":[116],"studies.":[117],"results":[119],"illustrate":[120],"effectiveness":[122],"of":[123],"method.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}