{"id":"https://openalex.org/W4296400016","doi":"https://doi.org/10.1007/978-3-031-26387-3_19","title":"Fair and\u00a0Efficient Alternatives to\u00a0Shapley-based Attribution Methods","display_name":"Fair and\u00a0Efficient Alternatives to\u00a0Shapley-based Attribution Methods","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4296400016","doi":"https://doi.org/10.1007/978-3-031-26387-3_19"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-26387-3_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-26387-3_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5073684968","display_name":"Charles Condevaux","orcid":"https://orcid.org/0000-0002-0819-9056"},"institutions":[{"id":"https://openalex.org/I66456633","display_name":"Universit\u00e9 de N\u00eemes","ror":"https://ror.org/044t4x544","country_code":"FR","type":"education","lineage":["https://openalex.org/I66456633"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Charles Condevaux","raw_affiliation_strings":["Univ. N\u00eemes CHROME, N\u00eemes Cedex 1, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. N\u00eemes CHROME, N\u00eemes Cedex 1, France","institution_ids":["https://openalex.org/I66456633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081436487","display_name":"S\u00e9bastien Harispe","orcid":"https://orcid.org/0000-0001-5630-2743"},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210127738","display_name":"IMT Mines Al\u00e8s","ror":"https://ror.org/03e8rf594","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127738"]},{"id":"https://openalex.org/I4402554207","display_name":"EuroMov Digital Health in Motion","ror":"https://ror.org/054b22910","country_code":null,"type":"facility","lineage":["https://openalex.org/I19894307","https://openalex.org/I205703379","https://openalex.org/I4210127738","https://openalex.org/I4402554207"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S\u00e9bastien Harispe","raw_affiliation_strings":["EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France","institution_ids":["https://openalex.org/I4402554207","https://openalex.org/I4210127738","https://openalex.org/I19894307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077040120","display_name":"St\u00e9phane Mussard","orcid":"https://orcid.org/0000-0003-2331-630X"},"institutions":[{"id":"https://openalex.org/I66456633","display_name":"Universit\u00e9 de N\u00eemes","ror":"https://ror.org/044t4x544","country_code":"FR","type":"education","lineage":["https://openalex.org/I66456633"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"St\u00e9phane Mussard","raw_affiliation_strings":["Univ. N\u00eemes CHROME, N\u00eemes Cedex 1, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. N\u00eemes CHROME, N\u00eemes Cedex 1, France","institution_ids":["https://openalex.org/I66456633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073684968"],"corresponding_institution_ids":["https://openalex.org/I66456633"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.9679,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.94036061,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9968000054359436,"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":0.9926999807357788,"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/interpretability","display_name":"Interpretability","score":0.8848323225975037},{"id":"https://openalex.org/keywords/shapley-value","display_name":"Shapley value","score":0.8462404012680054},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.8032365441322327},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.7185136079788208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5793653130531311},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.4747736155986786},{"id":"https://openalex.org/keywords/cooperative-game-theory","display_name":"Cooperative game theory","score":0.424324631690979},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4226400852203369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41197073459625244},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3346066474914551},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.3100544810295105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24135175347328186},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.19154953956604004},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1712367832660675}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8848323225975037},{"id":"https://openalex.org/C199022921","wikidata":"https://www.wikidata.org/wiki/Q240046","display_name":"Shapley value","level":3,"score":0.8462404012680054},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.8032365441322327},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.7185136079788208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5793653130531311},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4747736155986786},{"id":"https://openalex.org/C2781416736","wikidata":"https://www.wikidata.org/wiki/Q105354050","display_name":"Cooperative game theory","level":3,"score":0.424324631690979},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4226400852203369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41197073459625244},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3346066474914551},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.3100544810295105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24135175347328186},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.19154953956604004},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1712367832660675},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-26387-3_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-26387-3_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-03781033v1","is_oa":false,"landing_page_url":"https://imt-mines-ales.hal.science/hal-03781033","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://2022.ecmlpkdd.org/","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G2385826696","display_name":"Deep Learning for Prediction of Judicial Outcome","funder_award_id":"ANR-20-CE38-0013","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W1963756856","https://openalex.org/W1981276685","https://openalex.org/W1983688774","https://openalex.org/W1994253272","https://openalex.org/W1995992108","https://openalex.org/W2008918413","https://openalex.org/W2057683529","https://openalex.org/W2073231946","https://openalex.org/W2091159367","https://openalex.org/W2102099143","https://openalex.org/W2158691675","https://openalex.org/W2195388612","https://openalex.org/W2493343568","https://openalex.org/W2741938741","https://openalex.org/W2945976633","https://openalex.org/W2951934944","https://openalex.org/W2962772482","https://openalex.org/W2964108846","https://openalex.org/W2964339591","https://openalex.org/W2981731882","https://openalex.org/W3116286104","https://openalex.org/W3125424835","https://openalex.org/W3176015857","https://openalex.org/W3209937695"],"related_works":["https://openalex.org/W4308361263","https://openalex.org/W1584952351","https://openalex.org/W3206048862","https://openalex.org/W4287324729","https://openalex.org/W2808839094","https://openalex.org/W3131037858","https://openalex.org/W3125308771","https://openalex.org/W2803105815","https://openalex.org/W3204498529","https://openalex.org/W2052118119"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}
