{"id":"https://openalex.org/W4410342731","doi":"https://doi.org/10.1109/tai.2025.3569495","title":"Evidential Reasoning Rule Learning","display_name":"Evidential Reasoning Rule Learning","publication_year":2025,"publication_date":"2025-05-13","ids":{"openalex":"https://openalex.org/W4410342731","doi":"https://doi.org/10.1109/tai.2025.3569495"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2025.3569495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3569495","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-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/A5100785328","display_name":"Zhiguo Zhou","orcid":"https://orcid.org/0000-0003-4031-3178"},"institutions":[{"id":"https://openalex.org/I4210128618","display_name":"University of Kansas Medical Center","ror":"https://ror.org/036c9yv20","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210128618"]},{"id":"https://openalex.org/I4210097601","display_name":"The University of Kansas Cancer Center","ror":"https://ror.org/00cj35179","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210097601"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhiguo Zhou","raw_affiliation_strings":["Reliable Intelligence and Medical Innovation Laboratory (RIMI Lab), Department of Biostatistics &amp; Data Science, University of Kansas Medical Center, and University of Kansas Cancer Center, Kansas City, KS, USA","Reliable Intelligence and Medical Innovation Laboratory (RIMI Lab), Department of Biostatistics &#x0026; Data Science, University of Kansas Medical Center, and University of Kansas Cancer Center, Kansas City, KS, USA"],"affiliations":[{"raw_affiliation_string":"Reliable Intelligence and Medical Innovation Laboratory (RIMI Lab), Department of Biostatistics &amp; Data Science, University of Kansas Medical Center, and University of Kansas Cancer Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210097601"]},{"raw_affiliation_string":"Reliable Intelligence and Medical Innovation Laboratory (RIMI Lab), Department of Biostatistics &#x0026; Data Science, University of Kansas Medical Center, and University of Kansas Cancer Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210097601","https://openalex.org/I4210128618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101725143","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0001-8045-6777"},"institutions":[{"id":"https://openalex.org/I4210128618","display_name":"University of Kansas Medical Center","ror":"https://ror.org/036c9yv20","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210128618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Department of Biostatistics &amp; Data Science, University of Kansas Medical Center, Kansas City, KS, USA","Department of Biostatistics &#x0026; Data Science, University of Kansas Medical Center, Kansas City, KS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics &amp; Data Science, University of Kansas Medical Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210128618"]},{"raw_affiliation_string":"Department of Biostatistics &#x0026; Data Science, University of Kansas Medical Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210128618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100785328"],"corresponding_institution_ids":["https://openalex.org/I4210097601","https://openalex.org/I4210128618"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05184635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"1","first_page":"112","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.7336999773979187,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.7336999773979187,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.6776000261306763,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.6571999788284302,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44809913635253906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4096044898033142},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3523310422897339}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44809913635253906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4096044898033142},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3523310422897339}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2025.3569495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3569495","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1622838444","https://openalex.org/W1901616594","https://openalex.org/W1969971345","https://openalex.org/W2049337423","https://openalex.org/W2104179665","https://openalex.org/W2109034551","https://openalex.org/W2114541394","https://openalex.org/W2126481981","https://openalex.org/W2147497776","https://openalex.org/W2565516711","https://openalex.org/W2603020828","https://openalex.org/W2604249033","https://openalex.org/W2606436201","https://openalex.org/W2884001105","https://openalex.org/W2886155082","https://openalex.org/W2919115771","https://openalex.org/W2924551358","https://openalex.org/W2955451033","https://openalex.org/W2956805085","https://openalex.org/W2965483395","https://openalex.org/W3005522280","https://openalex.org/W3015450959","https://openalex.org/W3083547659","https://openalex.org/W3112288498","https://openalex.org/W3120647217","https://openalex.org/W3136021864","https://openalex.org/W3148181069","https://openalex.org/W3183048323","https://openalex.org/W3205854703","https://openalex.org/W4206425670","https://openalex.org/W4226026805","https://openalex.org/W4293221295","https://openalex.org/W4301347335","https://openalex.org/W4365801638","https://openalex.org/W4404130572"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"recent":[1],"decades,":[2],"artificial":[3],"intelligence":[4],"(AI),":[5],"particularly":[6],"machine":[7],"learning":[8,64,93],"(ML),":[9],"has":[10],"achieved":[11],"remarkable":[12],"advancements.":[13],"However,":[14],"the":[15,28,80,106,111,124,127,131,146,188,192],"practical":[16],"implementation":[17],"of":[18,68,126,194],"ML":[19,33,157],"in":[20,57,115],"critical":[21],"real-world":[22],"applications":[23],"remains":[24],"constrained":[25],"due":[26,135],"to":[27,78,104,122,136],"concerns":[29],"on":[30,45,85,151],"building":[31],"reliable":[32,63],"model.":[34],"To":[35,53],"address":[36],"this":[37,86],"challenge,":[38],"ensuring":[39],"model":[40,108,128,147,185,195],"reliability":[41],"requires":[42],"a":[43,58,61,88,142,155],"focus":[44],"three":[46],"major":[47],"aspects:":[48],"credibility,":[49],"adaptability,":[50],"and":[51,72,118],"interpretability.":[52],"achieve":[54],"these":[55],"objectives":[56],"unified":[59],"way,":[60],"new":[62,89,156],"pattern":[65],"which":[66],"consists":[67],"training,":[69],"adaptation,":[70],"testing":[71],"second":[73,132],"decision":[74],"stage":[75,117],"was":[76,98,167],"proposed":[77],"extend":[79],"traditional":[81],"training-testing":[82],"pattern.":[83],"Based":[84],"framework,":[87],"evidential":[90],"reasoning":[91],"rule":[92],"(ER<sup":[94],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[95,138,153,162,165,175],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>L)":[96],"strategy":[97],"developed,":[99],"where":[100],"individual-reliability":[101,183],"is":[102,120,148],"defined":[103],"tune":[105],"trained":[107],"for":[109,130,184],"fitting":[110],"test":[112],"sample":[113],"better":[114,179],"adaptation":[116],"overall-reliability":[119,189],"introduced":[121],"measure":[123],"credibility":[125,193],"outputs":[129],"decision.":[133],"Furthermore,":[134],"ER<sup":[137,152,161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>\u2019s":[139],"nature":[140],"as":[141],"probabilistic":[143],"inference":[144],"engine,":[145],"interpretable.":[149],"Building":[150],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>L,":[154],"approach":[158],"termed":[159],"Na\u00efve":[160],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[163,176],"(NER<sup":[164],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>)":[166],"proposed.":[168],"The":[169],"experimental":[170],"studies":[171],"demonstrated":[172],"that":[173],"NER<sup":[174],"can":[177,190],"obtain":[178],"performance":[180],"by":[181],"introducing":[182],"tuning,":[186],"whilst":[187],"evaluate":[191],"output":[196],"reasonably.":[197]},"counts_by_year":[],"updated_date":"2026-01-08T20:05:33.558190","created_date":"2025-10-10T00:00:00"}