{"id":"https://openalex.org/W4296052818","doi":"https://doi.org/10.1007/978-3-031-15791-2_17","title":"PEBAM: A Profile-Based Evaluation Method for\u00a0Bias Assessment on\u00a0Mixed Datasets","display_name":"PEBAM: A Profile-Based Evaluation Method for\u00a0Bias Assessment on\u00a0Mixed Datasets","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4296052818","doi":"https://doi.org/10.1007/978-3-031-15791-2_17"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-15791-2_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-15791-2_17","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":true,"oa_status":"green","oa_url":"https://pure.uva.nl/ws/files/133579809/978_3_031_15791_2_17.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044024804","display_name":"Mieke Wilms","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Mieke Wilms","raw_affiliation_strings":["University of Amsterdam, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049745544","display_name":"Giovanni Sileno","orcid":"https://orcid.org/0000-0001-5155-9021"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Giovanni Sileno","raw_affiliation_strings":["University of Amsterdam, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026579864","display_name":"Hinda Haned","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hinda Haned","raw_affiliation_strings":["University of Amsterdam, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044024804"],"corresponding_institution_ids":["https://openalex.org/I887064364"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27188674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"209","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9785000085830688,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9623000025749207,"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/computer-science","display_name":"Computer science","score":0.7931758761405945},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.565474271774292},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.525377631187439},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4853004813194275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4516626000404358},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3954734206199646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931758761405945},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.565474271774292},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.525377631187439},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4853004813194275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4516626000404358},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3954734206199646},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-15791-2_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-15791-2_17","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:dare.uva.nl:openaire/11eaab93-d1a3-42ab-89f5-63b35d6352f9","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/pebam-a-profilebased-evaluation-method-for-bias-assessment-on-mixed-datasets(11eaab93-d1a3-42ab-89f5-63b35d6352f9).html","pdf_url":"https://pure.uva.nl/ws/files/133579809/978_3_031_15791_2_17.pdf","source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"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":"Wilms, M, Sileno, G & Haned, H 2022, PEBAM: A Profile-Based Evaluation Method for Bias Assessment on Mixed Datasets. in R Bergmann, L Malburg, S C Rodermund & I J Timm (eds), KI 2022: Advances in Artificial Intelligence : 45th German Conference on AI, Trier, Germany, September 19\u201323, 2022 : proceedings. Lecture Notes in Computer Science, vol. 13404, Lecture Notes in Artificial Intelligence, Cham, pp. 209-223, 45th German Conference on Artificial Intelligence, KI 2022, Trier, Germany, 19/09/22. https://doi.org/10.1007/978-3-031-15791-2_17","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:dare.uva.nl:openaire/11eaab93-d1a3-42ab-89f5-63b35d6352f9","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/pebam-a-profilebased-evaluation-method-for-bias-assessment-on-mixed-datasets(11eaab93-d1a3-42ab-89f5-63b35d6352f9).html","pdf_url":"https://pure.uva.nl/ws/files/133579809/978_3_031_15791_2_17.pdf","source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"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":"Wilms, M, Sileno, G & Haned, H 2022, PEBAM: A Profile-Based Evaluation Method for Bias Assessment on Mixed Datasets. in R Bergmann, L Malburg, S C Rodermund & I J Timm (eds), KI 2022: Advances in Artificial Intelligence : 45th German Conference on AI, Trier, Germany, September 19\u201323, 2022 : proceedings. Lecture Notes in Computer Science, vol. 13404, Lecture Notes in Artificial Intelligence, Cham, pp. 209-223, 45th German Conference on Artificial Intelligence, KI 2022, Trier, Germany, 19/09/22. https://doi.org/10.1007/978-3-031-15791-2_17","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G629491556","display_name":null,"funder_award_id":"(NWO)","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G6976798823","display_name":"a HUman and Mathematical Approach to Implementing and Navigating Explainable and Responsible AI (HUMAINER AI)","funder_award_id":"KIVI.2019.006","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296052818.pdf","grobid_xml":"https://content.openalex.org/works/W4296052818.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1988711335","https://openalex.org/W2014352947","https://openalex.org/W2040825624","https://openalex.org/W2042035594","https://openalex.org/W2056884786","https://openalex.org/W2083685419","https://openalex.org/W2157928966","https://openalex.org/W2574007693","https://openalex.org/W2595840341","https://openalex.org/W2963917042","https://openalex.org/W2969220032","https://openalex.org/W3014951338","https://openalex.org/W3174752098","https://openalex.org/W3176768410","https://openalex.org/W3181414820","https://openalex.org/W3213556453"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W1999627569","https://openalex.org/W4286629047","https://openalex.org/W763609066","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W2370909876","https://openalex.org/W2608158510"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}