{"id":"https://openalex.org/W7140142947","doi":"https://doi.org/10.1016/j.procs.2026.02.412","title":"Streamlining AI Model Development and Evaluation in Industrial Settings by means of an Application","display_name":"Streamlining AI Model Development and Evaluation in Industrial Settings by means of an Application","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140142947","doi":"https://doi.org/10.1016/j.procs.2026.02.412"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2026.02.412","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.02.412","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2026.02.412","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077210324","display_name":"Sabrina Luftensteiner","orcid":"https://orcid.org/0000-0002-6502-4172"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]},{"id":"https://openalex.org/I4210126338","display_name":"Software Competence Center Hagenberg (Austria)","ror":"https://ror.org/02ks3nr96","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210126338"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Sabrina Luftensteiner","raw_affiliation_strings":["Johannes Kepler Universitaet Linz, Altenberger Str. 69, 4040 Linz, Austria","Software Competence Center Hagenberg, Softwarepark 32a, 4232 Hagenberg im Muehlkreis, Austria"],"affiliations":[{"raw_affiliation_string":"Johannes Kepler Universitaet Linz, Altenberger Str. 69, 4040 Linz, Austria","institution_ids":["https://openalex.org/I121883995"]},{"raw_affiliation_string":"Software Competence Center Hagenberg, Softwarepark 32a, 4232 Hagenberg im Muehlkreis, Austria","institution_ids":["https://openalex.org/I4210126338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051698924","display_name":"Johann Schrammel","orcid":"https://orcid.org/0000-0003-1833-2575"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Johann Schrammel","raw_affiliation_strings":["Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria","institution_ids":["https://openalex.org/I132118926"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045391216","display_name":"Lisa Diamond","orcid":"https://orcid.org/0000-0002-7050-2271"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Lisa Diamond","raw_affiliation_strings":["Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria","institution_ids":["https://openalex.org/I132118926"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130394594","display_name":"Richard Degenfellner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110916","display_name":"Engineering Software Steyr (Austria)","ror":"https://ror.org/0175s4d43","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210110916"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Richard Degenfellner","raw_affiliation_strings":["BMW Group Werk Steyr, Hinterbergerstra\u00dfe 2, 4400 Steyr, Austria"],"affiliations":[{"raw_affiliation_string":"BMW Group Werk Steyr, Hinterbergerstra\u00dfe 2, 4400 Steyr, Austria","institution_ids":["https://openalex.org/I4210110916"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077210324"],"corresponding_institution_ids":["https://openalex.org/I121883995","https://openalex.org/I4210126338"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76616032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"277","issue":null,"first_page":"3771","last_page":"3780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.17409999668598175,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.17409999668598175,"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":0.09319999814033508,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.08160000294446945,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.636900007724762},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6090999841690063},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5217000246047974},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4909999966621399},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4494999945163727},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.3095000088214874},{"id":"https://openalex.org/keywords/applications-of-artificial-intelligence","display_name":"Applications of artificial intelligence","score":0.3010999858379364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8565999865531921},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.636900007724762},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6090999841690063},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5217000246047974},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4909999966621399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4763999879360199},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4494999945163727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41359999775886536},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C2776542497","wikidata":"https://www.wikidata.org/wiki/Q5266672","display_name":"Development (topology)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.29510000348091125},{"id":"https://openalex.org/C4216890","wikidata":"https://www.wikidata.org/wiki/Q815823","display_name":"Business model","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.26989999413490295},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.2694999873638153},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26579999923706055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2026.02.412","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.02.412","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2026.02.412","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.02.412","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4807363450527191,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323031","display_name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft","ror":"https://ror.org/028jc0449"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1567225040","https://openalex.org/W1975040319","https://openalex.org/W1976966810","https://openalex.org/W1979900513","https://openalex.org/W2076384720","https://openalex.org/W2091196179","https://openalex.org/W2118561568","https://openalex.org/W2947451694","https://openalex.org/W2949676527","https://openalex.org/W2969195764","https://openalex.org/W3208453297","https://openalex.org/W3212259294","https://openalex.org/W4212802598","https://openalex.org/W4388320593","https://openalex.org/W4399585676"],"related_works":[],"abstract_inverted_index":{"The":[0],"increasing":[1],"adoption":[2],"of":[3,93,108,128,176],"Artificial":[4],"Intelligence":[5],"(AI)":[6],"in":[7],"industrial":[8,154],"environments":[9],"has":[10],"created":[11],"a":[12,56,100,113,117,184],"pressing":[13],"need":[14],"for":[15,69,112,125,205],"efficient":[16],"and":[17,23,35,50,58,64,73,91,104,132,141,152,160,169,171,203],"effective":[18,144],"methods":[19],"to":[20,44,79,120,197],"train,":[21],"test,":[22],"compare":[24,121],"AI":[25,42,71,94,122,149],"models.":[26],"Industrial":[27],"applications,":[28],"such":[29,183],"as":[30],"predictive":[31],"maintenance,":[32],"quality":[33],"control,":[34],"process":[36],"optimization,":[37],"rely":[38],"heavily":[39],"on":[40,96,192],"high-performing":[41],"models":[43,53,72,95,123],"drive":[45],"business":[46],"decisions.":[47],"However,":[48],"developing":[49],"deploying":[51],"these":[52],"can":[54,156],"be":[55],"complex":[57],"time-consuming":[59],"process,":[60],"requiring":[61],"significant":[62],"expertise":[63],"computational":[65],"resources.":[66],"An":[67],"application":[68,85],"training":[70,133,202],"comparing":[74],"their":[75,177],"performance":[76],"is":[77,190],"essential":[78],"simplify":[80],"this":[81],"process.":[82],"Such":[83],"an":[84],"enables":[86],"the":[87,106,109,126,158,173,188,193,199,209],"rapid":[88],"development,":[89],"training,":[90],"evaluation":[92,127,204],"large":[97],"datasets,":[98],"enabling":[99],"more":[101],"in-depth":[102],"understanding":[103],"facilitating":[105],"identification":[107],"best-performing":[110],"model":[111,139,150,164,167,201],"specific":[114],"task.":[115],"Moreover,":[116],"built-in":[118],"opportunity":[119],"allows":[124],"different":[129],"algorithms,":[130],"hyperparameters,":[131],"data,":[134],"providing":[135],"valuable":[136],"insights":[137],"into":[138],"strengths":[140],"weaknesses,":[142],"supporting":[143],"human-AI":[145],"cooperation.":[146],"By":[147],"streamlining":[148],"development":[151],"evaluation,":[153],"companies":[155],"reduce":[157],"time":[159],"cost":[161],"associated":[162],"with":[163],"deployment,":[165],"improve":[166],"accuracy":[168],"reliability,":[170],"increase":[172],"overall":[174],"efficiency":[175],"AI-driven":[178],"operations.":[179],"This":[180],"paper":[181],"presents":[182],"streamlined":[185],"application,":[186],"whereat":[187],"novelty":[189],"set":[191],"operator":[194],"friendly":[195],"user-interface":[196],"enable":[198],"analysis,":[200],"non-experts":[206],"directly":[207],"at":[208],"plant.":[210]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-03-24T00:00:00"}