{"id":"https://openalex.org/W4372260232","doi":"https://doi.org/10.1109/icassp49357.2023.10096948","title":"Bayesian Network Modeling and Prediction of Transitions Within the Homelessness System","display_name":"Bayesian Network Modeling and Prediction of Transitions Within the Homelessness System","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260232","doi":"https://doi.org/10.1109/icassp49357.2023.10096948"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5011744694","display_name":"Khandker Sadia Rahman","orcid":"https://orcid.org/0000-0002-6690-2299"},"institutions":[{"id":"https://openalex.org/I113508548","display_name":"Albany State University","ror":"https://ror.org/01vme4277","country_code":"US","type":"education","lineage":["https://openalex.org/I113508548"]},{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khandker Sadia Rahman","raw_affiliation_strings":["University at Albany, State University of New York,Department of Computer Science,Albany,NY","Department of Computer Science, University at Albany, State University of New York, Albany, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Albany, State University of New York,Department of Computer Science,Albany,NY","institution_ids":["https://openalex.org/I113508548"]},{"raw_affiliation_string":"Department of Computer Science, University at Albany, State University of New York, Albany, NY","institution_ids":["https://openalex.org/I113508548","https://openalex.org/I392282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055433560","display_name":"Daphney\u2013Stavroula Zois","orcid":"https://orcid.org/0000-0002-7807-7142"},"institutions":[{"id":"https://openalex.org/I113508548","display_name":"Albany State University","ror":"https://ror.org/01vme4277","country_code":"US","type":"education","lineage":["https://openalex.org/I113508548"]},{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daphney-Stavroula Zois","raw_affiliation_strings":["University at Albany, State University of New York,Department of Electrical and Computer Engineering,Albany,NY","Department of Electrical and Computer Engineering, University at Albany, State University of New York, Albany, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Albany, State University of New York,Department of Electrical and Computer Engineering,Albany,NY","institution_ids":["https://openalex.org/I113508548","https://openalex.org/I392282"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University at Albany, State University of New York, Albany, NY","institution_ids":["https://openalex.org/I113508548","https://openalex.org/I392282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021442429","display_name":"Charalampos Chelmis","orcid":"https://orcid.org/0000-0002-5920-1451"},"institutions":[{"id":"https://openalex.org/I113508548","display_name":"Albany State University","ror":"https://ror.org/01vme4277","country_code":"US","type":"education","lineage":["https://openalex.org/I113508548"]},{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charalampos Chelmis","raw_affiliation_strings":["University at Albany, State University of New York,Department of Computer Science,Albany,NY","Department of Computer Science, University at Albany, State University of New York, Albany, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Albany, State University of New York,Department of Computer Science,Albany,NY","institution_ids":["https://openalex.org/I113508548"]},{"raw_affiliation_string":"Department of Computer Science, University at Albany, State University of New York, Albany, NY","institution_ids":["https://openalex.org/I113508548","https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2726,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81402574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11464","display_name":"Homelessness and Social Issues","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"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/T11464","display_name":"Homelessness and Social Issues","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"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/T11860","display_name":"HIV, Drug Use, Sexual Risk","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11645","display_name":"Urban, Neighborhood, and Segregation Studies","score":0.9456999897956848,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/context","display_name":"Context (archaeology)","score":0.6678715348243713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6397331953048706},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6092337965965271},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5490992665290833},{"id":"https://openalex.org/keywords/service-provider","display_name":"Service provider","score":0.528917670249939},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47562387585639954},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4668263792991638},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4544414281845093},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45063820481300354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3658595085144043},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.18661677837371826},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.10114964842796326},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09850004315376282}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6678715348243713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6397331953048706},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6092337965965271},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5490992665290833},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.528917670249939},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47562387585639954},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4668263792991638},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4544414281845093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45063820481300354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3658595085144043},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.18661677837371826},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.10114964842796326},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09850004315376282},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1511986666","https://openalex.org/W2163966557","https://openalex.org/W2791624700","https://openalex.org/W2795300866","https://openalex.org/W2904715593","https://openalex.org/W3155689111","https://openalex.org/W3170294408","https://openalex.org/W3196441059","https://openalex.org/W6750020127","https://openalex.org/W6796904062"],"related_works":["https://openalex.org/W2972991241","https://openalex.org/W2961085424","https://openalex.org/W4377021841","https://openalex.org/W2381390841","https://openalex.org/W4224009465","https://openalex.org/W2624975276","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4383604565","https://openalex.org/W4367181073"],"abstract_inverted_index":{"Administrative":[0],"data":[1],"collected":[2],"by":[3,55],"homeless":[4,14,18,34],"service":[5,35,82],"providers":[6],"offer":[7],"a":[8,60],"unique":[9],"opportunity":[10],"to":[11,69,87,119],"understand":[12],"how":[13],"individuals":[15],"navigate":[16],"the":[17,25,31,39,77,81,88,98,111],"system":[19],"towards":[20],"securing":[21],"stable":[22],"housing.":[23],"However,":[24],"literature":[26],"on":[27],"predictive":[28],"models":[29],"in":[30,64],"context":[32],"of":[33,42],"provision":[36],"has":[37],"neglected":[38],"sequential":[40],"nature":[41],"services":[43,114],"that":[44,97],"an":[45,73],"individual":[46,74],"receives":[47],"over":[48],"time.":[49],"Our":[50],"work":[51],"addresses":[52],"this":[53],"gap":[54],"learning,":[56],"from":[57],"administrative":[58],"data,":[59],"Bayesian":[61],"network,":[62],"which":[63],"turn":[65],"can":[66],"be":[67,85],"used":[68],"accurately":[70],"predict":[71],"whether":[72],"will":[75],"exit":[76],"system,":[78],"or":[79],"alternatively,":[80],"she":[83,91],"would":[84],"assigned":[86],"next":[89],"time":[90],"experiences":[92],"homelessness.":[93],"Experimental":[94],"evaluation":[95],"shows":[96],"proposed":[99],"approach":[100],"outperforms":[101],"prior":[102],"art":[103],"not":[104],"only":[105],"at":[106],"predicting":[107],"exit,":[108],"but":[109],"also":[110],"less":[112],"frequent":[113],"(and":[115],"thus":[116],"more":[117],"challenging":[118],"predict).":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}