{"id":"https://openalex.org/W6925761046","doi":"https://doi.org/10.18420/inf2024_145","title":"Taking a HINT on Industrial Anomaly Detection","display_name":"Taking a HINT on Industrial Anomaly Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6925761046","doi":"https://doi.org/10.18420/inf2024_145"},"language":"en","primary_location":{"id":"pmh:oai:opus.reutlingen-university.de:5443","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-54436","pdf_url":"https://publikationen.reutlingen-university.de/files/5443/5443.pdf","source":{"id":"https://openalex.org/S4306400499","display_name":"Reutlingen University Academic Bibliography (Reutlingen University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57589565","host_organization_name":"Reutlingen University","host_organization_lineage":["https://openalex.org/I57589565"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:conferenceObject"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://publikationen.reutlingen-university.de/files/5443/5443.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"H\u00f6llig, Jacqueline","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"H\u00f6llig, Jacqueline","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Grimm, Florian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grimm, Florian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Kiefer, Daniel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiefer, Daniel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Thoma, Steffen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thoma, Steffen","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21899254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12346","display_name":"Phytochemistry and biological activity of medicinal plants","score":0.7117000222206116,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12346","display_name":"Phytochemistry and biological activity of medicinal plants","score":0.7117000222206116,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10431","display_name":"Ethnobotanical and Medicinal Plants Studies","score":0.031700000166893005,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11140","display_name":"Natural Antidiabetic Agents Studies","score":0.025499999523162842,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8019000291824341},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.5554999709129333},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5496000051498413},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.534500002861023},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5266000032424927},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5029000043869019},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.40779998898506165},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.40310001373291016}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8019000291824341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6840000152587891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.635200023651123},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.5554999709129333},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5496000051498413},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.534500002861023},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5266000032424927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5146999955177307},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5029000043869019},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.40779998898506165},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.40310001373291016},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3659000098705292},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.34220001101493835},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3382999897003174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3151000142097473},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.258899986743927}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:opus.reutlingen-university.de:5443","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-54436","pdf_url":"https://publikationen.reutlingen-university.de/files/5443/5443.pdf","source":{"id":"https://openalex.org/S4306400499","display_name":"Reutlingen University Academic Bibliography (Reutlingen University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57589565","host_organization_name":"Reutlingen University","host_organization_lineage":["https://openalex.org/I57589565"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:conferenceObject"},{"id":"doi:10.18420/inf2024_145","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2024_145","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:opus.reutlingen-university.de:5443","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-54436","pdf_url":"https://publikationen.reutlingen-university.de/files/5443/5443.pdf","source":{"id":"https://openalex.org/S4306400499","display_name":"Reutlingen University Academic Bibliography (Reutlingen University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57589565","host_organization_name":"Reutlingen University","host_organization_lineage":["https://openalex.org/I57589565"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:conferenceObject"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4722525477409363,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G352791218","display_name":null,"funder_award_id":"(BMBF)","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6925761046.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Detection":[0],"of":[1,32,97],"defective":[2],"parts":[3],"and":[4,21,64,100,123],"tools":[5],"is":[6,61],"essential":[7],"in":[8,16,70,103],"large-scale":[9],"industrial":[10,71],"manufacturing,":[11],"playing":[12],"a":[13,81,109],"vital":[14],"role":[15],"predictive":[17],"maintenance,":[18],"quality":[19],"assurance,":[20],"safety":[22],"hazard":[23],"minimization.":[24],"While":[25],"traditionally":[26],"performed":[27],"by":[28],"humans,":[29],"the":[30,95,132],"automation":[31],"visual":[33],"anomaly":[34],"detection":[35],"using":[36],"neural":[37],"networks":[38],"has":[39],"gained":[40],"prominence":[41],"due":[42],"to":[43,86,117,128],"their":[44],"increasing":[45],"performance":[46],"capabilities.":[47],"However,":[48],"deep":[49,104],"learning":[50,105],"models":[51],"require":[52],"extensive":[53],"data":[54,60,98],"for":[55,67],"training,":[56,122],"while":[57],"acquiring":[58],"annotated":[59],"both":[62],"costly":[63],"labor-intensive,":[65],"especially":[66],"defect":[68],"variations":[69],"scenarios.":[72],"Unsupervised":[73],"methods,":[74],"trained":[75],"without":[76],"labels":[77],"or":[78],"annotations,":[79],"offer":[80],"potential":[82],"solution":[83],"but":[84],"struggle":[85],"distinguish":[87],"true":[88],"anomalies":[89],"from":[90],"irrelevant":[91],"impurities.":[92],"To":[93],"address":[94],"limitations":[96],"dependency":[99],"spurious":[101],"correlations":[102],"models,":[106],"we":[107],"introduce":[108],"demonstrator":[110],"utilizing":[111],"Human":[112],"Importance-aware":[113],"Network":[114],"Tuning":[115],"(HINT)":[116],"incorporate":[118],"domain":[119],"knowledge":[120],"during":[121],"Explainable":[124],"Artificial":[125],"Intelligence":[126],"(XAI)":[127],"provide":[129],"insights":[130],"into":[131],"model\u2019s":[133],"decision-making":[134],"process.":[135]},"counts_by_year":[],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}