{"id":"https://openalex.org/W3003183227","doi":"https://doi.org/10.1109/indin41052.2019.8972099","title":"Industrial Transfer Learning: Boosting Machine Learning in Production","display_name":"Industrial Transfer Learning: Boosting Machine Learning in Production","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3003183227","doi":"https://doi.org/10.1109/indin41052.2019.8972099","mag":"3003183227"},"language":"en","primary_location":{"id":"doi:10.1109/indin41052.2019.8972099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","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/A5038824815","display_name":"Hasan Tercan","orcid":"https://orcid.org/0000-0003-0080-6285"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Hasan Tercan","raw_affiliation_strings":["University of Wuppertal,Chair of Technologies and Management of Digital Transformation (TMDT),Wuppertal,Germany","Chair of Technologies and Management of Digital Transformation (TMDT), University of Wuppertal, Wuppertal, Germany"],"affiliations":[{"raw_affiliation_string":"University of Wuppertal,Chair of Technologies and Management of Digital Transformation (TMDT),Wuppertal,Germany","institution_ids":["https://openalex.org/I167360494"]},{"raw_affiliation_string":"Chair of Technologies and Management of Digital Transformation (TMDT), University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027167699","display_name":"Alexandro Guajardo","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexandro Guajardo","raw_affiliation_strings":["RWTH Aachen University,Institute of Information Management in Mechanical Engineering (IMA),Aachen,Germany","Institute of Information Management in Mechanical Engineering (IMA), RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Institute of Information Management in Mechanical Engineering (IMA),Aachen,Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institute of Information Management in Mechanical Engineering (IMA), RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032638290","display_name":"Tobias Meisen","orcid":"https://orcid.org/0000-0002-1969-559X"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Meisen","raw_affiliation_strings":["University of Wuppertal,Chair of Technologies and Management of Digital Transformation (TMDT),Wuppertal,Germany","Chair of Technologies and Management of Digital Transformation (TMDT), University of Wuppertal, Wuppertal, Germany"],"affiliations":[{"raw_affiliation_string":"University of Wuppertal,Chair of Technologies and Management of Digital Transformation (TMDT),Wuppertal,Germany","institution_ids":["https://openalex.org/I167360494"]},{"raw_affiliation_string":"Chair of Technologies and Management of Digital Transformation (TMDT), University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038824815"],"corresponding_institution_ids":["https://openalex.org/I167360494"],"apc_list":null,"apc_paid":null,"fwci":5.0774,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.95847144,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"274","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.995199978351593,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7246090769767761},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7077502012252808},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6972830891609192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6911818981170654},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6453423500061035},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6407579183578491},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6297443509101868},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.516453742980957},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4812188446521759},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4639294743537903},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45551103353500366},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41084975004196167},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14534902572631836}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7246090769767761},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7077502012252808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6972830891609192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6911818981170654},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6453423500061035},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6407579183578491},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6297443509101868},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.516453742980957},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4812188446521759},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4639294743537903},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45551103353500366},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41084975004196167},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14534902572631836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/indin41052.2019.8972099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:794194","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/794194","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Piscataway, NJ : IEEE 274-279 (2019). doi:10.1109/INDIN41052.2019.8972099","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5899999737739563,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1849277567","https://openalex.org/W2155541015","https://openalex.org/W2161381512","https://openalex.org/W2165698076","https://openalex.org/W2252631705","https://openalex.org/W2473930607","https://openalex.org/W2510153535","https://openalex.org/W2591890471","https://openalex.org/W2604879234","https://openalex.org/W2605102758","https://openalex.org/W2754791538","https://openalex.org/W2755607466","https://openalex.org/W2765312595","https://openalex.org/W2788388592","https://openalex.org/W2809933567","https://openalex.org/W2810711945","https://openalex.org/W2962899390","https://openalex.org/W2963184939","https://openalex.org/W2968638474","https://openalex.org/W2990747716","https://openalex.org/W4294375521","https://openalex.org/W6637618735","https://openalex.org/W6682778277","https://openalex.org/W6755072072","https://openalex.org/W6770858630"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"In":[0,47],"the":[1,25,30,35,39,44,83,106],"field":[2],"of":[3,27,34,41,86],"production,":[4],"machine":[5],"learning":[6,36,58,110],"offers":[7],"great":[8],"potentials":[9,64],"to":[10,24,131],"develop":[11],"innovative":[12],"solutions":[13],"for":[14,59,71,82,121],"optimization":[15],"or":[16],"automation.":[17],"However,":[18],"it":[19],"faces":[20],"challenges":[21,53],"with":[22],"regard":[23],"availability":[26],"data":[28,120],"and":[29,65,77,112,135],"high":[31],"training":[32,85],"effort":[33],"models":[37],"in":[38,43,67,74],"event":[40],"changes":[42],"production":[45],"process.":[46],"this":[48],"paper,":[49],"we":[50],"address":[51],"these":[52],"by":[54],"introducing":[55],"deep":[56],"transfer":[57],"production.":[60],"We":[61],"demonstrate":[62],"its":[63],"benefits":[66],"a":[68,79,94],"real":[69],"application":[70],"predictive":[72],"quality":[73],"injection":[75],"molding":[76],"propose":[78],"novel":[80],"approach":[81,107],"continual":[84],"neural":[87,95],"networks":[88],"across":[89],"manufactured":[90],"products.":[91],"By":[92],"creating":[93],"network":[96],"that":[97],"leverages":[98],"knowledge":[99],"from":[100],"previous":[101],"products":[102],"without":[103],"forgetting":[104],"them,":[105],"shows":[108],"better":[109],"rates":[111],"more":[113],"accurate":[114],"predictions":[115],"while":[116],"requiring":[117],"much":[118],"less":[119],"training.":[122],"Our":[123],"code":[124],"is":[125],"publicly":[126],"available":[127],"<sup":[128],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[130],"reproduce":[132],"our":[133],"results":[134],"build":[136],"upon":[137],"them.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}