{"id":"https://openalex.org/W4395702124","doi":"https://doi.org/10.1007/s42979-024-02810-8","title":"Which Explanation Should be Selected: A Method Agnostic Model Class Reliance Explanation for Model and Explanation Multiplicity","display_name":"Which Explanation Should be Selected: A Method Agnostic Model Class Reliance Explanation for Model and Explanation Multiplicity","publication_year":2024,"publication_date":"2024-04-27","ids":{"openalex":"https://openalex.org/W4395702124","doi":"https://doi.org/10.1007/s42979-024-02810-8"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-024-02810-8","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s42979-024-02810-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-024-02810-8.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42979-024-02810-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036959410","display_name":"Abirami Gunasekaran","orcid":"https://orcid.org/0000-0002-4038-3566"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Abirami Gunasekaran","raw_affiliation_strings":["School of Computing and Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK"],"raw_orcid":"https://orcid.org/0000-0002-4038-3566","affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103146964","display_name":"P. Mistry","orcid":null},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pritesh Mistry","raw_affiliation_strings":["School of Computing and Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014269891","display_name":"Minsi Chen","orcid":"https://orcid.org/0000-0001-6628-1421"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Minsi Chen","raw_affiliation_strings":["School of Computing and Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK","institution_ids":["https://openalex.org/I133837150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036959410"],"corresponding_institution_ids":["https://openalex.org/I133837150"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":0.9234,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78144928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"5","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9987999796867371,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9987999796867371,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9606999754905701,"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/T13398","display_name":"Data Analysis with R","score":0.9484000205993652,"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/multiplicity","display_name":"Multiplicity (mathematics)","score":0.5738542675971985},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5646508932113647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40894508361816406},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3633907437324524},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.34334003925323486},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3311319947242737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3093496263027191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1882624626159668},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.1750483512878418},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16261857748031616},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08135241270065308}],"concepts":[{"id":"https://openalex.org/C156004811","wikidata":"https://www.wikidata.org/wiki/Q2228257","display_name":"Multiplicity (mathematics)","level":2,"score":0.5738542675971985},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5646508932113647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40894508361816406},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3633907437324524},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.34334003925323486},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3311319947242737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3093496263027191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1882624626159668},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.1750483512878418},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16261857748031616},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08135241270065308}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s42979-024-02810-8","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s42979-024-02810-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-024-02810-8.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/ac09d095-6aa3-4f78-b927-a4e15702ab5a","is_oa":true,"landing_page_url":"https://pure.hud.ac.uk/en/publications/ac09d095-6aa3-4f78-b927-a4e15702ab5a","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Gunasekaran, A, Mistry, P & Chen, M 2024, 'Which Explanation Should be Selected : A Method Agnostic Model Class Reliance Explanation for Model and Explanation Multiplicity', SN Computer Science, vol. 5, no. 5, 503. https://doi.org/10.1007/s42979-024-02810-8","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s42979-024-02810-8","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s42979-024-02810-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-024-02810-8.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4395702124.pdf","grobid_xml":"https://content.openalex.org/works/W4395702124.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W590241356","https://openalex.org/W1576808520","https://openalex.org/W1968634175","https://openalex.org/W2021581601","https://openalex.org/W2077292419","https://openalex.org/W2084341220","https://openalex.org/W2103459159","https://openalex.org/W2113211233","https://openalex.org/W2125847307","https://openalex.org/W2129888542","https://openalex.org/W2133240096","https://openalex.org/W2217766582","https://openalex.org/W2282821441","https://openalex.org/W2394669110","https://openalex.org/W2437551018","https://openalex.org/W2510508396","https://openalex.org/W2613800022","https://openalex.org/W2787289460","https://openalex.org/W2796215194","https://openalex.org/W2891503716","https://openalex.org/W2911964244","https://openalex.org/W2945976633","https://openalex.org/W2959521774","https://openalex.org/W2962843949","https://openalex.org/W2964060211","https://openalex.org/W2977675538","https://openalex.org/W2979200397","https://openalex.org/W2981731882","https://openalex.org/W2988157455","https://openalex.org/W3005086430","https://openalex.org/W3021101429","https://openalex.org/W3082075460","https://openalex.org/W3083155189","https://openalex.org/W3096425977","https://openalex.org/W3098278632","https://openalex.org/W3110754781","https://openalex.org/W3112570229","https://openalex.org/W3171886783","https://openalex.org/W3189934778","https://openalex.org/W4205364923","https://openalex.org/W4207053176","https://openalex.org/W4212978291","https://openalex.org/W4224433969","https://openalex.org/W4225407147","https://openalex.org/W4300626098","https://openalex.org/W4323527496","https://openalex.org/W6606943696","https://openalex.org/W6702166451"],"related_works":["https://openalex.org/W4378765297","https://openalex.org/W4230581126","https://openalex.org/W2761548024","https://openalex.org/W2016521071","https://openalex.org/W2001367988","https://openalex.org/W2069384021","https://openalex.org/W4394867213","https://openalex.org/W1990308498","https://openalex.org/W1986629578","https://openalex.org/W3196781293"],"abstract_inverted_index":{"Abstract":[0],"Feature":[1],"importance":[2,77,87,158],"techniques":[3],"offer":[4],"valuable":[5],"insights":[6],"into":[7],"machine":[8,92],"learning":[9,93],"(ML)":[10],"models":[11,39,120,152,176],"by":[12,169],"conducting":[13],"quantitative":[14],"assessments":[15],"of":[16,20,82,104,117,151,161,166,175],"the":[17,23,114,147,157,164,180,184],"individual":[18],"contributions":[19],"variables":[21],"to":[22,172],"model\u2019s":[24],"predictive":[25],"outcomes.":[26],"This":[27,47,71],"quantification":[28],"differs":[29],"across":[30,66,139],"various":[31],"explanation":[32,43,65,73,135],"methods":[33,67],"and":[34,44,113],"multiple":[35,69,140],"almost":[36],"equally":[37],"accurate":[38],"(Rashomon":[40],"models),":[41],"creating":[42],"model":[45,56,133],"multiplicities.":[46],"resulted":[48],"in":[49,129,178],"a":[50,63,80,98,131],"novel":[51],"framework":[52],"called":[53],"method":[54],"agnostic":[55],"class":[57,81],"reliance":[58,134],"range":[59,78,159],"(MAMCR)":[60],"for":[61,68,79],"identifying":[62],"unified":[64],"models.":[70,83],"consensus":[72,132],"provides":[74],"each":[75],"feature\u2019s":[76],"Using":[84],"state-of-the-art":[85,185],"feature":[86],"methods,":[88],"experiments":[89],"on":[90,156],"popular":[91],"datasets":[94],"are":[95],"conducted":[96],"with":[97,110],"$$\\varepsilon":[99],"-$$":[100],"\u03b5-":[101],"threshold":[102],"value":[103],"0.1.":[105],"The":[106,142],"dataset-specific":[107],"Rashomon":[108],"set":[109],"200":[111],"models,":[112],"prediction":[115,148],"accuracy":[116,149],"concerned":[118],"reference":[119],"(":[121],"$$m^*$$":[122],"m\u2217":[123],")":[124],"have":[125],"produced":[126],"encouraging":[127],"results":[128,144],"obtaining":[130],"that":[136],"is":[137],"consistent":[138],"methods.":[141,186],"experiment":[143],"ensure":[145],"whether":[146],"level":[150],"has":[153],"an":[154],"impact":[155],"estimation":[160],"features.":[162],"Also,":[163],"order":[165],"features":[167],"suggested":[168],"MAMCR":[170],"leads":[171],"better":[173],"performance":[174],"consistently":[177],"all":[179],"experimented":[181],"datasets,":[182],"than":[183]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}