{"id":"https://openalex.org/W4385767678","doi":"https://doi.org/10.24963/ijcai.2023/701","title":"On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach","display_name":"On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385767678","doi":"https://doi.org/10.24963/ijcai.2023/701"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/701","pdf_url":"https://www.ijcai.org/proceedings/2023/0701.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2023/0701.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100354592","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0001-8135-369X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051511394","display_name":"Ruohan Zong","orcid":"https://orcid.org/0000-0002-6499-3406"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruohan Zong","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074191748","display_name":"Lanyu Shang","orcid":"https://orcid.org/0000-0002-7480-6889"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lanyu Shang","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101960707","display_name":"Huimin Zeng","orcid":"https://orcid.org/0000-0003-0198-2352"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huimin Zeng","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048013870","display_name":"Zhenrui Yue","orcid":"https://orcid.org/0000-0002-0309-2065"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenrui Yue","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066245492","display_name":"Na Wei","orcid":"https://orcid.org/0000-0003-2093-3441"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Na Wei","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391517","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-9599-8023"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.705,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":2,"citation_normalized_percentile":{"value":0.999976,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":78,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"6317","last_page":"6325"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9754,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9696,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.96675575},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8038279}],"concepts":[{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.96675575},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8038279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76594186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5387479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4610855},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/701","pdf_url":"https://www.ijcai.org/proceedings/2023/0701.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/701","pdf_url":"https://www.ijcai.org/proceedings/2023/0701.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Climate action","score":0.62,"id":"https://metadata.un.org/sdg/13"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":39,"referenced_works":["https://openalex.org/W2146950091","https://openalex.org/W2333796428","https://openalex.org/W2340967156","https://openalex.org/W2605488490","https://openalex.org/W2618574054","https://openalex.org/W2768447691","https://openalex.org/W2774918944","https://openalex.org/W2898976892","https://openalex.org/W2921054025","https://openalex.org/W2929141656","https://openalex.org/W2936299508","https://openalex.org/W2941486823","https://openalex.org/W2963446712","https://openalex.org/W2963555187","https://openalex.org/W2963756240","https://openalex.org/W2981123093","https://openalex.org/W2981873476","https://openalex.org/W2982492177","https://openalex.org/W3004655700","https://openalex.org/W3013120352","https://openalex.org/W3034218934","https://openalex.org/W3040427204","https://openalex.org/W3047290399","https://openalex.org/W3088417321","https://openalex.org/W3140823068","https://openalex.org/W3153411045","https://openalex.org/W3192247156","https://openalex.org/W3205626500","https://openalex.org/W3206705049","https://openalex.org/W3212896246","https://openalex.org/W4206269069","https://openalex.org/W4211116959","https://openalex.org/W4283799550","https://openalex.org/W4285120607","https://openalex.org/W4287285260","https://openalex.org/W4309617564","https://openalex.org/W4309618238","https://openalex.org/W4367047081","https://openalex.org/W4367047260"],"related_works":["https://openalex.org/W4394896187","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4306674287","https://openalex.org/W4283697347","https://openalex.org/W3170094116","https://openalex.org/W3107602296","https://openalex.org/W3046775127","https://openalex.org/W2961085424"],"abstract_inverted_index":{"This":[0,45],"paper":[1,46],"focuses":[2],"on":[3,134],"the":[4,18,32,54,59,77,127,144,150],"AI-based":[5],"damage":[6,20],"assessment":[7],"(ADA)":[8],"applications":[9],"that":[10,65,113,140],"leverage":[11],"state-of-the-art":[12,145],"AI":[13,115],"techniques":[14],"to":[15,57,79,103,125],"automatically":[16],"assess":[17],"disaster":[19,73,85,101],"severity":[21],"using":[22],"online":[23],"social":[24],"media":[25],"imagery":[26],"data,":[27],"which":[28],"aligns":[29],"well":[30],"with":[31,93],"''disaster":[33],"risk":[34],"reduction''":[35],"target":[36],"under":[37],"United":[38],"Nations'":[39],"Sustainable":[40],"Development":[41],"Goals":[42],"(UN":[43],"SDGs).":[44],"studies":[47],"an":[48],"ADA":[49,63,128,137,151],"model":[50,129,152],"generality":[51,78,130,153],"problem":[52],"where":[53],"objective":[55],"is":[56],"address":[58,88,126],"limitation":[60],"of":[61],"current":[62],"solutions":[64],"are":[66],"often":[67],"optimized":[68],"only":[69],"for":[70],"a":[71,106,121],"single":[72],"event":[74],"and":[75,96,116],"lack":[76],"provide":[80],"accurate":[81],"performance":[82],"across":[83,154],"different":[84,155],"events.":[86],"To":[87],"this":[89],"limitation,":[90],"we":[91],"work":[92],"domain":[94],"experts":[95],"local":[97],"community":[98],"stakeholders":[99],"in":[100],"response":[102],"develop":[104],"CollabGeneral,":[105],"subjective":[107],"logic-driven":[108],"crowd-AI":[109],"collaborative":[110],"learning":[111,123],"framework":[112,124],"integrates":[114],"crowdsourced":[117],"human":[118],"intelligence":[119],"into":[120],"principled":[122],"problem.":[131],"Extensive":[132],"experiments":[133],"four":[135],"real-world":[136],"datasets":[138],"demonstrate":[139],"CollabGeneral":[141],"consistently":[142],"outperforms":[143],"baselines":[146],"by":[147],"significantly":[148],"improving":[149],"disasters.":[156]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4385767678","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-01-05T15:03:14.738671","created_date":"2023-08-12"}