{"id":"https://openalex.org/W4415554422","doi":"https://doi.org/10.1109/tpami.2025.3625258","title":"A Comprehensive Survey on Evidential Deep Learning and its Applications","display_name":"A Comprehensive Survey on Evidential Deep Learning and its Applications","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W4415554422","doi":"https://doi.org/10.1109/tpami.2025.3625258","pmid":"https://pubmed.ncbi.nlm.nih.gov/41134959"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3625258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3625258","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5014526931","display_name":"Junyu Gao","orcid":"https://orcid.org/0000-0002-8105-5497"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junyu Gao","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100737264","display_name":"Mengyuan Chen","orcid":"https://orcid.org/0009-0001-8155-0930"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyuan Chen","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liangyu Xiang","orcid":"https://orcid.org/0009-0006-7279-0429"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangyu Xiang","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022636178","display_name":"Changsheng Xu","orcid":"https://orcid.org/0000-0001-8343-9665"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Xu","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014526931"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":11.6576,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98276461,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"48","issue":"3","first_page":"2118","last_page":"2138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9922999739646912,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9922999739646912,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.991599977016449,"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":0.9718000292778015,"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/deep-learning","display_name":"Deep learning","score":0.7792999744415283},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.535099983215332},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.503000020980835},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4648999869823456},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4390999972820282},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4287000000476837},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42340001463890076},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.4129999876022339}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8007000088691711},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7792999744415283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7330999970436096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6830000281333923},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.535099983215332},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.503000020980835},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4648999869823456},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4390999972820282},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4287000000476837},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42340001463890076},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.4129999876022339},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34060001373291016},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.3264999985694885},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.27230000495910645},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.26910001039505005},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2599000036716461}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3625258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3625258","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41134959","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41134959","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1498893086","display_name":null,"funder_award_id":"62036012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2037785589","display_name":null,"funder_award_id":"U21B2044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3503747233","display_name":null,"funder_award_id":"4242051","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G4199693610","display_name":null,"funder_award_id":"62236008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6227733091","display_name":null,"funder_award_id":"U2333215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G759750629","display_name":null,"funder_award_id":"62472422","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":122,"referenced_works":["https://openalex.org/W158260078","https://openalex.org/W1494192115","https://openalex.org/W1494902407","https://openalex.org/W1635116973","https://openalex.org/W1762195237","https://openalex.org/W2014384147","https://openalex.org/W2059448777","https://openalex.org/W2110182592","https://openalex.org/W2110689325","https://openalex.org/W2111959010","https://openalex.org/W2114315281","https://openalex.org/W2117079761","https://openalex.org/W2119880843","https://openalex.org/W2125479168","https://openalex.org/W2164943005","https://openalex.org/W2273278181","https://openalex.org/W2607941059","https://openalex.org/W2803756472","https://openalex.org/W2892816441","https://openalex.org/W2962835731","https://openalex.org/W2970446123","https://openalex.org/W2979431884","https://openalex.org/W2981958729","https://openalex.org/W2997563872","https://openalex.org/W3007318993","https://openalex.org/W3014596384","https://openalex.org/W3023119660","https://openalex.org/W3034230713","https://openalex.org/W3041133507","https://openalex.org/W3044331088","https://openalex.org/W3090434739","https://openalex.org/W3096831136","https://openalex.org/W3100688298","https://openalex.org/W3100789280","https://openalex.org/W3113568521","https://openalex.org/W3119123409","https://openalex.org/W3160288212","https://openalex.org/W3171029090","https://openalex.org/W3173251459","https://openalex.org/W3182790326","https://openalex.org/W3183048323","https://openalex.org/W3185456481","https://openalex.org/W3205343065","https://openalex.org/W3205626500","https://openalex.org/W3206965446","https://openalex.org/W3210043680","https://openalex.org/W4200329493","https://openalex.org/W4200357302","https://openalex.org/W4205203504","https://openalex.org/W4214592090","https://openalex.org/W4214751560","https://openalex.org/W4221148818","https://openalex.org/W4221161646","https://openalex.org/W4224926219","https://openalex.org/W4225899372","https://openalex.org/W4234587807","https://openalex.org/W4251598436","https://openalex.org/W4281568214","https://openalex.org/W4283590956","https://openalex.org/W4283785752","https://openalex.org/W4283818601","https://openalex.org/W4293581659","https://openalex.org/W4295795844","https://openalex.org/W4295916009","https://openalex.org/W4301347335","https://openalex.org/W4304014355","https://openalex.org/W4304080369","https://openalex.org/W4309635395","https://openalex.org/W4311593456","https://openalex.org/W4312309917","https://openalex.org/W4312317576","https://openalex.org/W4312540725","https://openalex.org/W4312661433","https://openalex.org/W4318953228","https://openalex.org/W4324067083","https://openalex.org/W4324292616","https://openalex.org/W4360884927","https://openalex.org/W4367154318","https://openalex.org/W4372269400","https://openalex.org/W4375869021","https://openalex.org/W4382240287","https://openalex.org/W4382317663","https://openalex.org/W4382318257","https://openalex.org/W4382318474","https://openalex.org/W4385572273","https://openalex.org/W4386065620","https://openalex.org/W4386066621","https://openalex.org/W4386075807","https://openalex.org/W4386076075","https://openalex.org/W4386180992","https://openalex.org/W4386432237","https://openalex.org/W4386570221","https://openalex.org/W4387125781","https://openalex.org/W4387211566","https://openalex.org/W4387211782","https://openalex.org/W4387623815","https://openalex.org/W4387968696","https://openalex.org/W4387969017","https://openalex.org/W4387969332","https://openalex.org/W4388282568","https://openalex.org/W4389831747","https://openalex.org/W4390189964","https://openalex.org/W4390190793","https://openalex.org/W4390533698","https://openalex.org/W4390874788","https://openalex.org/W4391547626","https://openalex.org/W4393147512","https://openalex.org/W4393148263","https://openalex.org/W4393148672","https://openalex.org/W4393156830","https://openalex.org/W4393157446","https://openalex.org/W4393161139","https://openalex.org/W4394597273","https://openalex.org/W4396782916","https://openalex.org/W4400877442","https://openalex.org/W4402715959","https://openalex.org/W4402716289","https://openalex.org/W4402753671","https://openalex.org/W4403635746","https://openalex.org/W4404658388","https://openalex.org/W4407602147","https://openalex.org/W7117301226"],"related_works":[],"abstract_inverted_index":{"Reliable":[0],"uncertainty":[1,28,60,117,137],"estimation":[2,29,61,118,138],"has":[3,56],"become":[4],"a":[5,48,67,74,87],"crucial":[6],"requirement":[7],"for":[8,174],"the":[9,78,91,102,107,132,167],"industrial":[10],"deployment":[11],"of":[12,77,105,180],"deep":[13,33],"learning":[14,161],"algorithms,":[15],"particularly":[16],"in":[17,66,126],"high-risk":[18],"applications":[19,157],"such":[20],"as":[21],"autonomous":[22],"driving":[23],"and":[24,111,147,163,177],"medical":[25],"diagnosis.":[26],"However,":[27],"methods":[30],"relying":[31],"on":[32,81,154,171],"ensembling":[34],"or":[35],"Bayesian":[36],"neural":[37],"networks":[38],"typically":[39],"entail":[40],"significant":[41],"computational":[42],"overhead.":[43],"To":[44],"address":[45],"this":[46],"challenge,":[47],"novel":[49],"paradigm":[50],"called":[51],"Evidential":[52],"Deep":[53],"Learning":[54],"(EDL)":[55],"emerged,":[57],"providing":[58],"high-quality":[59],"with":[62],"minimal":[63],"additional":[64],"computation":[65],"single":[68],"forward":[69],"pass.":[70],"This":[71],"survey":[72],"provides":[73],"comprehensive":[75],"overview":[76],"current":[79],"research":[80,186],"EDL,":[82,106],"designed":[83],"to":[84,90],"offer":[85],"readers":[86],"broad":[88],"introduction":[89],"field":[92],"without":[93],"assuming":[94],"prior":[95],"knowledge.":[96],"Specifically,":[97],"we":[98,152],"first":[99],"delve":[100],"into":[101,143],"theoretical":[103,124],"foundation":[104],"subjective":[108],"logic":[109],"theory,":[110],"discuss":[112],"its":[113,155],"distinctions":[114],"from":[115,128],"other":[116],"frameworks.":[119],"We":[120],"further":[121],"present":[122],"existing":[123],"advancements":[125],"EDL":[127,181],"four":[129],"perspectives:":[130],"reformulating":[131],"evidence":[133],"collection":[134],"process,":[135],"improving":[136],"via":[139],"OOD":[140],"samples,":[141],"delving":[142],"various":[144,159],"training":[145],"strategies,":[146],"evidential":[148],"regression":[149],"networks.":[150],"Thereafter,":[151],"elaborate":[153],"extensive":[156],"across":[158],"machine":[160],"paradigms":[162],"downstream":[164],"tasks.":[165],"In":[166],"end,":[168],"an":[169],"outlook":[170],"future":[172],"directions":[173],"better":[175],"performances":[176],"broader":[178],"adoption":[179],"is":[182],"provided,":[183],"highlighting":[184],"potential":[185],"avenues.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-26T00:00:00"}