{"id":"https://openalex.org/W4387427537","doi":"https://doi.org/10.48550/arxiv.2310.03131","title":"Axiomatic Aggregations of Abductive Explanations","display_name":"Axiomatic Aggregations of Abductive Explanations","publication_year":2023,"publication_date":"2023-09-29","ids":{"openalex":"https://openalex.org/W4387427537","doi":"https://doi.org/10.48550/arxiv.2310.03131"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2310.03131","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.03131","pdf_url":"https://arxiv.org/pdf/2310.03131","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2310.03131","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043151704","display_name":"Gagan Biradar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Biradar, Gagan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006912992","display_name":"Yacine Izza","orcid":"https://orcid.org/0000-0002-7774-1945"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Izza, Yacine","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050874143","display_name":"Elita Lobo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lobo, Elita","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065675484","display_name":"Vignesh Viswanathan","orcid":"https://orcid.org/0000-0001-8307-9508"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viswanathan, Vignesh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5076656216","display_name":"Yair Zick","orcid":"https://orcid.org/0000-0002-0635-6230"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zick, Yair","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043151704"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.9976000189781189,"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":0.9976000189781189,"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":0.9824000000953674,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9462000131607056,"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/abductive-reasoning","display_name":"Abductive reasoning","score":0.8845929503440857},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6662889719009399},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6483154296875},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.46392783522605896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4592592120170593},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41994088888168335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3983152508735657},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.3349396586418152},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22229844331741333}],"concepts":[{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.8845929503440857},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6662889719009399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6483154296875},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.46392783522605896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4592592120170593},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41994088888168335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3983152508735657},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3349396586418152},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22229844331741333},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2310.03131","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.03131","pdf_url":"https://arxiv.org/pdf/2310.03131","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2310.03131","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2310.03131","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2310.03131","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.03131","pdf_url":"https://arxiv.org/pdf/2310.03131","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387427537.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2753083100","https://openalex.org/W3198799031","https://openalex.org/W2090831035","https://openalex.org/W1584952351","https://openalex.org/W2081948323","https://openalex.org/W2927058411","https://openalex.org/W3005084276","https://openalex.org/W2156879229","https://openalex.org/W2803105815","https://openalex.org/W3124251996"],"abstract_inverted_index":{"The":[0],"recent":[1],"criticisms":[2],"of":[3,6,22,36,137,149,155],"the":[4,20,43,66,82,106,173],"robustness":[5],"post":[7],"hoc":[8],"model":[9],"approximation":[10],"explanation":[11,77],"methods":[12,144],"(like":[13],"LIME":[14],"and":[15,48,129,165,178],"SHAP)":[16],"have":[17],"led":[18],"to":[19,41,94,172],"rise":[21],"model-precise":[23],"abductive":[24,30,50,63,76,88,109],"explanations.":[25],"For":[26],"each":[27,148],"data":[28,68],"point,":[29],"explanations":[31,51,64,89,110,169],"provide":[32],"a":[33,54,74,130,134,153],"minimal":[34],"subset":[35],"features":[37],"that":[38,147,167,175],"are":[39,170],"sufficient":[40],"generate":[42],"outcome.":[44],"While":[45],"theoretically":[46],"sound":[47],"rigorous,":[49],"suffer":[52],"from":[53,125],"major":[55],"issue":[56,103],"--":[57],"there":[58],"can":[59,78,90],"be":[60,79,91],"several":[61],"valid":[62,87],"for":[65],"same":[67],"point.":[69],"In":[70,97],"such":[71],"cases,":[72],"providing":[73,85],"single":[75],"insufficient;":[80],"on":[81,122,133,162],"other":[83],"hand,":[84],"all":[86],"incomprehensible":[92],"due":[93],"their":[95],"size.":[96],"this":[98,102],"work,":[99],"we":[100],"solve":[101],"by":[104],"aggregating":[105],"many":[107],"possible":[108],"into":[111],"feature":[112],"importance":[113],"scores.":[114],"We":[115,140,158],"propose":[116],"three":[117,143],"aggregation":[118],"methods:":[119],"two":[120],"based":[121,132],"power":[123],"indices":[124],"cooperative":[126],"game":[127],"theory":[128],"third":[131],"well-known":[135],"measure":[136],"causal":[138],"strength.":[139],"characterize":[141],"these":[142,168],"axiomatically,":[145],"showing":[146],"them":[150,161],"uniquely":[151],"satisfies":[152],"set":[154],"desirable":[156],"properties.":[157],"also":[159],"evaluate":[160],"multiple":[163],"datasets":[164],"show":[166],"robust":[171],"attacks":[174],"fool":[176],"SHAP":[177],"LIME.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}