{"id":"https://openalex.org/W4385568305","doi":"https://doi.org/10.1145/3580305.3599908","title":"Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments","display_name":"Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385568305","doi":"https://doi.org/10.1145/3580305.3599908"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599908","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5026924748","display_name":"Ha Xuan Tran","orcid":"https://orcid.org/0000-0002-8934-7806"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ha Xuan Tran","raw_affiliation_strings":["University of South Australia, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-8934-7806","affiliations":[{"raw_affiliation_string":"University of South Australia, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035846381","display_name":"Thuc Duy Le","orcid":"https://orcid.org/0000-0002-9732-4313"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thuc Duy Le","raw_affiliation_strings":["University of South Australia, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9732-4313","affiliations":[{"raw_affiliation_string":"University of South Australia, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012177739","display_name":"Jiuyong Li","orcid":"https://orcid.org/0000-0002-9023-1878"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiuyong Li","raw_affiliation_strings":["University of South Australia, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9023-1878","affiliations":[{"raw_affiliation_string":"University of South Australia, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383342","display_name":"Lin Liu","orcid":"https://orcid.org/0000-0003-2843-5738"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lin Liu","raw_affiliation_strings":["University of South Australia, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2843-5738","affiliations":[{"raw_affiliation_string":"University of South Australia, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413473","display_name":"Xiaomei Li","orcid":"https://orcid.org/0000-0002-8870-3186"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaomei Li","raw_affiliation_strings":["University of South Australia &amp; CSIRO, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-8870-3186","affiliations":[{"raw_affiliation_string":"University of South Australia &amp; CSIRO, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I170239107","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029442609","display_name":"Jixue Liu","orcid":"https://orcid.org/0000-0002-0794-0404"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jixue Liu","raw_affiliation_strings":["University of South Australia, Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0794-0404","affiliations":[{"raw_affiliation_string":"University of South Australia, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064398235","display_name":"Tony Waters","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tony Waters","raw_affiliation_strings":["Maxima Training Group (Aust) Ltd., Adelaide, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9955-9338","affiliations":[{"raw_affiliation_string":"Maxima Training Group (Aust) Ltd., Adelaide, SA, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5026924748"],"corresponding_institution_ids":["https://openalex.org/I170239107"],"apc_list":null,"apc_paid":null,"fwci":0.5044,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71525212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4970","last_page":"4980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11514","display_name":"Disability Education and Employment","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11514","display_name":"Disability Education and Employment","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11631","display_name":"Retirement, Disability, and Employment","score":0.9153000116348267,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.7085541486740112},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.7061381340026855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6227058172225952},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.43917813897132874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4382408857345581},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.41645893454551697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3793642520904541},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.296541690826416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11367908120155334}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.7085541486740112},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.7061381340026855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6227058172225952},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.43917813897132874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4382408857345581},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.41645893454551697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3793642520904541},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.296541690826416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11367908120155334},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599908","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W879220392","https://openalex.org/W1257569579","https://openalex.org/W1983459332","https://openalex.org/W2000239378","https://openalex.org/W2003823024","https://openalex.org/W2016826668","https://openalex.org/W2019769408","https://openalex.org/W2034368206","https://openalex.org/W2083384274","https://openalex.org/W2110992644","https://openalex.org/W2132324013","https://openalex.org/W2140036815","https://openalex.org/W2141861294","https://openalex.org/W2143891888","https://openalex.org/W2165698076","https://openalex.org/W2179799035","https://openalex.org/W2267899723","https://openalex.org/W2585311025","https://openalex.org/W2727347990","https://openalex.org/W2743064457","https://openalex.org/W2790376986","https://openalex.org/W2797793167","https://openalex.org/W2807992610","https://openalex.org/W2885707361","https://openalex.org/W2896648383","https://openalex.org/W2904211285","https://openalex.org/W2997746169","https://openalex.org/W3004430387","https://openalex.org/W3007501395","https://openalex.org/W3016824580","https://openalex.org/W3043242675","https://openalex.org/W3103558512","https://openalex.org/W3114778207","https://openalex.org/W3147894994","https://openalex.org/W3191808899","https://openalex.org/W3214523882","https://openalex.org/W4230262094","https://openalex.org/W4293241248","https://openalex.org/W4384305936","https://openalex.org/W6684642658"],"related_works":["https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2075065631","https://openalex.org/W2519167559","https://openalex.org/W4311248832","https://openalex.org/W4386113923"],"abstract_inverted_index":{"In":[0],"Disability":[1],"Employment":[2],"Services":[3],"(DES),":[4],"an":[5],"emerging":[6],"problem":[7,32],"is":[8,41,93],"to":[9,43,99,129,145,190],"make":[10,82,172],"job":[11,84,137,193],"survival":[12,25,85,111,138,157,194],"analysis":[13,26,112],"stable":[14,110,173,204],"in":[15,54,87,209],"unseen":[16,39],"environments":[17],"without":[18,118],"prior":[19,120],"knowledge":[20,121],"of":[21,38,71,122,162,206],"these":[22],"environments.":[23,124],"Existing":[24],"methods":[27],"cannot":[28],"adequately":[29],"solve":[30],"this":[31,49],"since":[33],"they":[34],"assume":[35],"that":[36,44,168],"distribution":[37],"data":[40],"similar":[42],"observed":[45],"during":[46],"training.":[47],"However,":[48],"assumption":[50],"can":[51,64,171,177],"be":[52],"violated":[53],"practice":[55],"where":[56],"unanticipated":[57],"events":[58],"such":[59],"as":[60],"COVID19":[61,79,88],"and":[62,68,96,102,136,148,155],"inflation":[63,90],"change":[65],"the":[66,78,104,115,156,184,202],"work":[67],"life":[69],"patterns":[70],"people":[72],"with":[73,165,181,198],"disability.":[74],"Models":[75],"trained":[76],"before":[77],"pandemic":[80],"may":[81],"unreliable":[83],"predictions":[86],"or":[89],"situations.":[91],"It":[92,176],"also":[94,178],"costly":[95],"time":[97],"consuming":[98],"frequently":[100],"re-train":[101],"deploy":[103],"models.":[105],"This":[106],"paper":[107],"proposes":[108],"a":[109],"method":[113,170,208],"for":[114,188],"DES":[116],"sector":[117],"requiring":[119],"deployment":[123],"Latent":[125],"representations":[126],"are":[127,143],"learned":[128],"capture":[130],"non-linear":[131],"relationships":[132],"between":[133,152],"relevant":[134],"features":[135,154],"time.":[139,195],"Two":[140],"reweighting":[141],"stages":[142],"developed":[144],"remove":[146],"censoring":[147],"conditional":[149],"spurious":[150],"correlations":[151],"irrelevant":[153],"outcome.":[158],"The":[159],"case":[160],"study":[161],"Australian":[163],"workers":[164,180],"disability":[166,182],"shows":[167],"our":[169,207],"risk":[174],"predictions.":[175],"help":[179],"determine":[183],"most":[185],"effective":[186],"skills":[187],"improvement":[189],"increase":[191],"their":[192],"Further":[196],"evaluations":[197],"public":[199],"datasets":[200],"show":[201],"promising":[203],"performance":[205],"other":[210],"applications.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
