{"id":"https://openalex.org/W4392930081","doi":"https://doi.org/10.1007/s10479-024-06440-4","title":"Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification","display_name":"Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification","publication_year":2024,"publication_date":"2024-12-22","ids":{"openalex":"https://openalex.org/W4392930081","doi":"https://doi.org/10.1007/s10479-024-06440-4"},"language":"en","primary_location":{"id":"doi:10.1007/s10479-024-06440-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10479-024-06440-4","pdf_url":null,"source":{"id":"https://openalex.org/S57667410","display_name":"Annals of Operations Research","issn_l":"0254-5330","issn":["0254-5330","1572-9338"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Operations Research","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/01JHF62WJD2JVEDSCS8DAMMM0S/file/01JHHVS69A8P9HJZ4BZ6G9FSQT.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092881623","display_name":"Arthur Thuy","orcid":"https://orcid.org/0000-0001-9107-5646"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Arthur Thuy","raw_affiliation_strings":["Faculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, 9000, Ghent, Belgium","FlandersMake@UGent, corelab CVAMO, Tweekerkenstraat 2, 9000, Ghent, Belgium"],"raw_orcid":"https://orcid.org/0000-0001-9107-5646","affiliations":[{"raw_affiliation_string":"Faculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, 9000, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"FlandersMake@UGent, corelab CVAMO, Tweekerkenstraat 2, 9000, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I4210116480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089981863","display_name":"Dries F. Benoit","orcid":"https://orcid.org/0000-0001-9901-8507"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I4210116480","display_name":"Flanders Make (Belgium)","ror":"https://ror.org/02ndjfz59","country_code":"BE","type":"company","lineage":["https://openalex.org/I4210116480"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Dries F. Benoit","raw_affiliation_strings":["Faculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, 9000, Ghent, Belgium","FlandersMake@UGent, corelab CVAMO, Tweekerkenstraat 2, 9000, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, 9000, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"FlandersMake@UGent, corelab CVAMO, Tweekerkenstraat 2, 9000, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I4210116480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092881623"],"corresponding_institution_ids":["https://openalex.org/I32597200","https://openalex.org/I4210116480"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":null,"fwci":0.8935,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69150361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"353","issue":"2","first_page":"517","last_page":"543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10320","display_name":"Neural Networks and Applications","score":0.9760000109672546,"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/T12676","display_name":"Machine Learning and ELM","score":0.9692000150680542,"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":0.7363457679748535},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.631935715675354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6296682953834534},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5885041952133179},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5658988356590271},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5110536813735962},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.48559683561325073},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.48244911432266235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46810436248779297},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4678664207458496},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4677294194698334},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4438645541667938},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4365878105163574},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4230248034000397},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09916457533836365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7363457679748535},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.631935715675354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6296682953834534},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5885041952133179},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5658988356590271},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5110536813735962},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.48559683561325073},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.48244911432266235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46810436248779297},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4678664207458496},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4677294194698334},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4438645541667938},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4365878105163574},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4230248034000397},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09916457533836365},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10479-024-06440-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10479-024-06440-4","pdf_url":null,"source":{"id":"https://openalex.org/S57667410","display_name":"Annals of Operations Research","issn_l":"0254-5330","issn":["0254-5330","1572-9338"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Operations Research","raw_type":"journal-article"},{"id":"pmh:oai:archive.ugent.be:01JHF62WJD2JVEDSCS8DAMMM0S","is_oa":true,"landing_page_url":"https://biblio.ugent.be/publication/01JHF62WJD2JVEDSCS8DAMMM0S","pdf_url":"https://biblio.ugent.be/publication/01JHF62WJD2JVEDSCS8DAMMM0S/file/01JHHVS69A8P9HJZ4BZ6G9FSQT.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"ISSN: 1572-9338","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:arXiv.org:2403.10182","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.10182","pdf_url":"https://arxiv.org/pdf/2403.10182","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:01JHF62WJD2JVEDSCS8DAMMM0S","is_oa":true,"landing_page_url":"https://biblio.ugent.be/publication/01JHF62WJD2JVEDSCS8DAMMM0S","pdf_url":"https://biblio.ugent.be/publication/01JHF62WJD2JVEDSCS8DAMMM0S/file/01JHHVS69A8P9HJZ4BZ6G9FSQT.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"ISSN: 1572-9338","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G652778662","display_name":"Semantic graphs for personalized intelligent tutoring systems (ITS)","funder_award_id":"1S97022N","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392930081.pdf","grobid_xml":"https://content.openalex.org/works/W4392930081.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1278315313","https://openalex.org/W2025054524","https://openalex.org/W2057616284","https://openalex.org/W2060765502","https://openalex.org/W2111959010","https://openalex.org/W2170505850","https://openalex.org/W2342352817","https://openalex.org/W2560321925","https://openalex.org/W2605102758","https://openalex.org/W2764043458","https://openalex.org/W2788755844","https://openalex.org/W2947933332","https://openalex.org/W2948194985","https://openalex.org/W2949676527","https://openalex.org/W2951696358","https://openalex.org/W2975867066","https://openalex.org/W2992525328","https://openalex.org/W2996869566","https://openalex.org/W3001459509","https://openalex.org/W3005861412","https://openalex.org/W3014596384","https://openalex.org/W3036522266","https://openalex.org/W3088216492","https://openalex.org/W3109641554","https://openalex.org/W3113371083","https://openalex.org/W3123454130","https://openalex.org/W3165720780","https://openalex.org/W3183516990","https://openalex.org/W3204914169","https://openalex.org/W3205854703","https://openalex.org/W3215163093","https://openalex.org/W4210835806","https://openalex.org/W4282822391","https://openalex.org/W4284975176","https://openalex.org/W4285900042","https://openalex.org/W4286486930","https://openalex.org/W4287124224","https://openalex.org/W4296151451","https://openalex.org/W4324104316","https://openalex.org/W4361208323","https://openalex.org/W4367044523","https://openalex.org/W4376620351","https://openalex.org/W4379142968","https://openalex.org/W4381510166","https://openalex.org/W4385801085","https://openalex.org/W4386157339","https://openalex.org/W4386785885","https://openalex.org/W4386847174","https://openalex.org/W6739651123"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W2891633941","https://openalex.org/W3202800081","https://openalex.org/W3101614107","https://openalex.org/W1909207154","https://openalex.org/W4390971112","https://openalex.org/W3036530763","https://openalex.org/W3124390867","https://openalex.org/W1514365828","https://openalex.org/W3204228978"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2024-03-19T00:00:00"}
