{"id":"https://openalex.org/W7135027916","doi":"https://doi.org/10.1109/icsrs68021.2025.11422262","title":"Multi-Task Learning and Retrieval-Augmented Generation for Cause and Consequence Prediction on the HIAD Hydrogen Safety Dataset","display_name":"Multi-Task Learning and Retrieval-Augmented Generation for Cause and Consequence Prediction on the HIAD Hydrogen Safety Dataset","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W7135027916","doi":"https://doi.org/10.1109/icsrs68021.2025.11422262"},"language":null,"primary_location":{"id":"doi:10.1109/icsrs68021.2025.11422262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs68021.2025.11422262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5014136067","display_name":"July Bias Mac\u00eado","orcid":"https://orcid.org/0000-0002-8409-7852"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"July Bias Macedo","raw_affiliation_strings":["Universidade Federal de Pernambuco,CEERMA,Recife,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco,CEERMA,Recife,Brasil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128876444","display_name":"Lucas Alencar S. Da Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucas Alencar S. Da Silva","raw_affiliation_strings":["Universidade Federal de Pernambuco,CEERMA,Recife,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco,CEERMA,Recife,Brasil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011896580","display_name":"Dario Valcamonico","orcid":"https://orcid.org/0000-0002-7621-6831"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dario Valcamonico","raw_affiliation_strings":["Politecnico di Milano,Energy Department,Milano,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Energy Department,Milano,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128883377","display_name":"M\u00e1rcio Das Chagas Moura","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M\u00e1rcio Das Chagas Moura","raw_affiliation_strings":["Universidade Federal de Pernambuco,CEERMA,Recife,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco,CEERMA,Recife,Brasil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107871496","display_name":"P. Baraldi","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Piero Baraldi","raw_affiliation_strings":["Politecnico di Milano,Energy Department,Milano,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano,Energy Department,Milano,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128804463","display_name":"Enrico Zio","orcid":null},"institutions":[{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Enrico Zio","raw_affiliation_strings":["Centre de Recherche sur les Risques et les Crises (CRC),MINES Paris-PSL,Sophia-Antipolis,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Recherche sur les Risques et les Crises (CRC),MINES Paris-PSL,Sophia-Antipolis,France","institution_ids":["https://openalex.org/I70768539"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"599","last_page":"603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.2971000075340271,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.2971000075340271,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.20970000326633453,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.024700000882148743,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/classifier","display_name":"Classifier (UML)","score":0.7537000179290771},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4772000014781952},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4706999957561493},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4611999988555908},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3865000009536743},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.30140000581741333}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7537000179290771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6258000135421753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.607699990272522},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5076000094413757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4903999865055084},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4772000014781952},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4706999957561493},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4611999988555908},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3865000009536743},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2913999855518341},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.25929999351501465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsrs68021.2025.11422262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs68021.2025.11422262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W3099700870","https://openalex.org/W4224133843","https://openalex.org/W4312222248","https://openalex.org/W4321438572","https://openalex.org/W4385245566","https://openalex.org/W4394806416","https://openalex.org/W4401857375","https://openalex.org/W4412780127","https://openalex.org/W4413155622","https://openalex.org/W4415042414"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"an":[3,160],"analysis":[4],"of":[5,25,94,103,140],"hydrogen":[6],"incidents":[7,45],"in":[8],"the":[9,44,58,101,104,108,117,121,129,138,164],"HIAD":[10],"2.1":[11],"dataset":[12,59],"using":[13],"two":[14],"methodological":[15],"approaches:":[16],"a":[17,83,148],"multi-task":[18],"learning":[19],"(MTL)":[20],"classifier":[21,106,131,162],"for":[22,107],"joint":[23],"prediction":[24],"cause":[26,68],"and":[27,29,41,56,73,112,133,143,157],"consequence,":[28],"Retrieval":[30],"Augmented":[31],"Generation":[32],"(RAG)":[33],"applied":[34],"both":[35],"to":[36,42,153],"find":[37,154],"missing":[38,155],"labels":[39],"(RAG#1)":[40],"classify":[43],"(RAG#2).":[46],"After":[47],"applying":[48],"quality":[49],"gating":[50],"(Quality":[51],"Seal":[52],"$\\geq":[53],"4$),":[54],"cleaning,":[55],"normalization,":[57],"comprises":[60],"304":[61],"events.":[62],"Multi-label":[63],"targets":[64],"are":[65,80],"adopted,":[66],"with":[67,111,128],"encoded":[69,75],"as":[70,76],"[human,":[71],"non-human]":[72],"consequence":[74],"[injuries,":[77],"fatalities].":[78],"Performances":[79],"evaluated":[81],"on":[82,137,163],"fixed":[84],"90/10":[85],"split":[86],"(273":[87],"train":[88],"/":[89],"31":[90],"test).":[91],"The":[92],"impact":[93],"data":[95,114,135,156],"completion":[96],"is":[97,125],"validated":[98],"by":[99],"comparing":[100],"performances":[102],"MTL":[105,130,161],"accident":[109],"causes":[110,142],"without":[113,134],"completion,":[115],"where":[116],"former":[118],"$(F1=0.8049)$":[119],"outperforms":[120],"latter":[122],"$(F1=0.7907)$.":[123],"RAG":[124,152],"then":[126,158],"compared":[127],"(with":[132],"completion)":[136],"task":[139],"classifying":[141],"consequences.":[144],"Overall,":[145],"results":[146],"support":[147],"hybrid":[149],"strategy:":[150],"use":[151],"develop":[159],"complete":[165],"dataset.":[166]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-13T00:00:00"}