{"id":"https://openalex.org/W4390684348","doi":"https://doi.org/10.1109/mci.2023.3327834","title":"Forward Composition Propagation for Explainable Neural Reasoning","display_name":"Forward Composition Propagation for Explainable Neural Reasoning","publication_year":2024,"publication_date":"2024-01-08","ids":{"openalex":"https://openalex.org/W4390684348","doi":"https://doi.org/10.1109/mci.2023.3327834"},"language":"en","primary_location":{"id":"doi:10.1109/mci.2023.3327834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2023.3327834","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"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 Computational Intelligence Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.tilburguniversity.edu/en/publications/55b2d6a1-22a5-4925-9aa4-24d2e13191be","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079498248","display_name":"Isel Grau","orcid":"https://orcid.org/0000-0002-8035-2887"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Isel Grau","raw_affiliation_strings":["Eindhoven University of Technology, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-8035-2887","affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036962111","display_name":"Gonzalo N\u00e1poles","orcid":"https://orcid.org/0000-0003-1936-3701"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gonzalo N\u00e1poles","raw_affiliation_strings":["Tilburg University, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-1936-3701","affiliations":[{"raw_affiliation_string":"Tilburg University, The Netherlands","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039718106","display_name":"Marilyn Bello","orcid":null},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marilyn Bello","raw_affiliation_strings":["Universidad de Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0003-4540-2508","affiliations":[{"raw_affiliation_string":"Universidad de Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059499436","display_name":"Yamisleydi Salgueiro","orcid":"https://orcid.org/0000-0002-1946-0053"},"institutions":[{"id":"https://openalex.org/I134695357","display_name":"University of Talca","ror":"https://ror.org/01s4gpq44","country_code":"CL","type":"education","lineage":["https://openalex.org/I134695357"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Yamisleydi Salgueiro","raw_affiliation_strings":["Universidad de Talca, Chile"],"raw_orcid":"https://orcid.org/0000-0002-1946-0053","affiliations":[{"raw_affiliation_string":"Universidad de Talca, Chile","institution_ids":["https://openalex.org/I134695357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033442768","display_name":"Agnieszka Jastrz\u0119bska","orcid":"https://orcid.org/0000-0001-5361-5787"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Agnieszka Jastrzebska","raw_affiliation_strings":["Warsaw University of Technology, Poland"],"raw_orcid":"https://orcid.org/0000-0001-5361-5787","affiliations":[{"raw_affiliation_string":"Warsaw University of Technology, Poland","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079498248"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":1.6557,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85051451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"19","issue":"1","first_page":"26","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9944999814033508,"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/composition","display_name":"Composition (language)","score":0.778203547000885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7758094072341919},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6668269634246826},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6126492023468018},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.572772741317749},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5585731863975525},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5483553409576416},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5112874507904053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5005419254302979},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5004298686981201},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49971890449523926},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.43734002113342285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38662028312683105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25047674775123596},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.13575708866119385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12388002872467041}],"concepts":[{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.778203547000885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7758094072341919},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6668269634246826},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6126492023468018},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.572772741317749},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5585731863975525},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5483553409576416},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5112874507904053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5005419254302979},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5004298686981201},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49971890449523926},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.43734002113342285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38662028312683105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25047674775123596},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.13575708866119385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12388002872467041},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mci.2023.3327834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2023.3327834","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"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 Computational Intelligence Magazine","raw_type":"journal-article"},{"id":"pmh:oai:tilburguniversity.edu:openaire/55b2d6a1-22a5-4925-9aa4-24d2e13191be","is_oa":true,"landing_page_url":"https://research.tilburguniversity.edu/en/publications/55b2d6a1-22a5-4925-9aa4-24d2e13191be","pdf_url":null,"source":{"id":"https://openalex.org/S4406923027","display_name":"Tilburg University Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Grau, I, N\u00e1poles, G, Bello, M, Salgueiro, Y & Jastrzebska, A 2022, 'Forward Composition Propagation for Explainable Neural Reasoning', IEEE Computational Intelligence Magazine, vol. 19, no. 1, pp. 26-35. https://doi.org/10.1109/MCI.2023.3327834","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.tue.nl:publications/5c4bb53e-5b3d-4be6-80b5-f9b8c9111130","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/5c4bb53e-5b3d-4be6-80b5-f9b8c9111130","pdf_url":"https://pure.tue.nl/ws/files/316742680/MCI3327834.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Grau, I, N\u00e1poles, G, Bello-Garc\u00eda, M, Salgueiro, Y & Jastrz\u0119bska, A 2024, 'Forward Composition Propagation for Explainable Neural Reasoning', IEEE Computational Intelligence Magazine, vol. 19, no. 1, 10384511, pp. 26-35. https://doi.org/10.1109/MCI.2023.3327834","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:tilburguniversity.edu:openaire/55b2d6a1-22a5-4925-9aa4-24d2e13191be","is_oa":true,"landing_page_url":"https://research.tilburguniversity.edu/en/publications/55b2d6a1-22a5-4925-9aa4-24d2e13191be","pdf_url":null,"source":{"id":"https://openalex.org/S4406923027","display_name":"Tilburg University Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Grau, I, N\u00e1poles, G, Bello, M, Salgueiro, Y & Jastrzebska, A 2022, 'Forward Composition Propagation for Explainable Neural Reasoning', IEEE Computational Intelligence Magazine, vol. 19, no. 1, pp. 26-35. https://doi.org/10.1109/MCI.2023.3327834","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G1278513833","display_name":null,"funder_award_id":"CENIA FB210017","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"},{"id":"https://openalex.org/G1643949827","display_name":null,"funder_award_id":"AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2508777116","display_name":null,"funder_award_id":"ECM-02","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"},{"id":"https://openalex.org/G300979063","display_name":null,"funder_award_id":"10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3219925899","display_name":null,"funder_award_id":"MCIN/AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G5080475149","display_name":null,"funder_award_id":"10.13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7084143925","display_name":null,"funder_award_id":"AEI/10","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7266728691","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7535663061","display_name":null,"funder_award_id":"AEI/10.","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7877382544","display_name":null,"funder_award_id":"FB210017","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"}],"funders":[{"id":"https://openalex.org/F4320322637","display_name":"Politechnika Warszawska","ror":"https://ror.org/00y0xnp53"},{"id":"https://openalex.org/F4320326517","display_name":"Universidad de Talca","ror":"https://ror.org/01s4gpq44"},{"id":"https://openalex.org/F4320331146","display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","ror":null},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W1849277567","https://openalex.org/W1901367599","https://openalex.org/W2031737537","https://openalex.org/W2053154970","https://openalex.org/W2058051343","https://openalex.org/W2132862423","https://openalex.org/W2141200610","https://openalex.org/W2195388612","https://openalex.org/W2240067561","https://openalex.org/W2282821441","https://openalex.org/W2522925973","https://openalex.org/W2536885573","https://openalex.org/W2962858109","https://openalex.org/W2963749936","https://openalex.org/W2963917042","https://openalex.org/W2964045325","https://openalex.org/W2967682612","https://openalex.org/W2969476445","https://openalex.org/W2973136764","https://openalex.org/W2981731882","https://openalex.org/W2988916019","https://openalex.org/W3032152562","https://openalex.org/W3037626499","https://openalex.org/W3048075953","https://openalex.org/W3099376688","https://openalex.org/W3120740533","https://openalex.org/W3165435112","https://openalex.org/W3174422331","https://openalex.org/W3181414820","https://openalex.org/W3190730109","https://openalex.org/W3193800595","https://openalex.org/W3198067740","https://openalex.org/W4205287544","https://openalex.org/W4206988069","https://openalex.org/W4224309172","https://openalex.org/W4289438483","https://openalex.org/W4292539886","https://openalex.org/W6631190155","https://openalex.org/W6677995690","https://openalex.org/W6685133223","https://openalex.org/W6726186668","https://openalex.org/W6728418763","https://openalex.org/W6736518430","https://openalex.org/W6738549535","https://openalex.org/W6745861399","https://openalex.org/W6755765851","https://openalex.org/W6766846328","https://openalex.org/W6773904973","https://openalex.org/W6780484765"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1868434454","https://openalex.org/W4366985237","https://openalex.org/W2810569973","https://openalex.org/W2128396103","https://openalex.org/W4366984740","https://openalex.org/W4367299891"],"abstract_inverted_index":{"This":[0],"paper":[1,113,157],"proposes":[2],"an":[3],"algorithm":[4,92],"called":[5],"Forward":[6],"Composition":[7,46],"Propagation":[8],"(FCP)":[9],"to":[10,107],"explain":[11],"the":[12,24,37,59,64,75,81,84,101,109,127,137,143],"predictions":[13],"of":[14,39,69,146],"feed-forward":[15],"neural":[16],"networks":[17],"operating":[18],"on":[19,95],"structured":[20],"classification":[21],"problems.":[22],"In":[23],"proposed":[25],"FCP":[26,91,110],"algorithm,":[27,111],"each":[28,40,70],"neuron":[29],"is":[30,93,104,130],"described":[31],"by":[32],"a":[33,51,96,115,122],"composition":[34,71,138],"vector":[35],"indicating":[36],"role":[38],"problem":[41,124],"feature":[42,77],"in":[43,121,125],"that":[44,136],"neuron.":[45],"vectors":[47],"are":[48,158],"initialized":[49],"using":[50],"given":[52],"input":[53],"instance":[54],"and":[55,152],"subsequently":[56],"propagated":[57],"through":[58],"whole":[60],"network":[61],"until":[62],"reaching":[63],"output":[65],"layer.":[66],"The":[67,90,132,149],"sign":[68],"value":[72,86],"indicates":[73],"whether":[74],"corresponding":[76],"excites":[78],"or":[79],"inhibits":[80],"neuron,":[82],"while":[83],"absolute":[85],"quantifies":[87],"its":[88],"impact.":[89],"executed":[94],"post-hoc":[97],"basis,":[98],"i.e.,":[99],"once":[100],"learning":[102],"process":[103],"completed.":[105],"Aiming":[106],"illustrate":[108],"this":[112,156],"develops":[114],"case":[116],"study":[117],"concerning":[118],"bias":[119],"detection":[120],"fairness":[123],"which":[126],"ground":[128],"truth":[129],"known.":[131],"simulation":[133],"results":[134],"show":[135],"values":[139],"closely":[140],"align":[141],"with":[142],"expected":[144],"behavior":[145],"protected":[147],"features.":[148],"source":[150],"code":[151],"supplementary":[153],"material":[154],"for":[155],"available":[159],"at":[160],"https://github.com/igraugar/fcp.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
