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Symbolic AI for XAI: evaluating lfit inductive programming for explaining biases in machine learning

dc.contributor.authorOrtega, A.
dc.contributor.authorFierrez, J.
dc.contributor.authorMorales, A.
dc.contributor.authorWang, Z.
dc.contributor.authorde la Cruz, M.
dc.contributor.authorAlonso González, César Luis 
dc.contributor.authorRibeiro, T.
dc.date.accessioned2022-06-29T08:17:20Z
dc.date.available2022-06-29T08:17:20Z
dc.date.issued2021
dc.identifier.citationComputers, 10(11) (2021); doi:10.3390/computers10110154
dc.identifier.issn2073-431X
dc.identifier.urihttp://hdl.handle.net/10651/63748
dc.description.sponsorshipThis research was funded by projects: PRIMA (H2020-MSCA-ITN-2019-860315), TRESPASSETN (H2020-MSCA-ITN-2019-860813), IDEA-FAST (IMI2-2018-15-853981), BIBECA (RTI2018-101248-B-I00 MINECO/FEDER), and RTI2018-095232-B-C22 MINECO.
dc.language.isoeng
dc.relation.ispartofComputers
dc.rights© 2021 Los autores
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85119840594&doi=10.3390%2fcomputers10110154&partnerID=40&md5=cdee498df05ca4c70fb27e78f11b5da9
dc.titleSymbolic AI for XAI: evaluating lfit inductive programming for explaining biases in machine learning
dc.typejournal article
dc.identifier.doi10.3390/computers10110154
dc.relation.projectIDH2020-MSCA-ITN-2019-860315
dc.relation.projectIDMINECO/FEDER/RTI2018-101248-B-I00
dc.relation.projectIDMINECO/RTI2018-095232-B-C22
dc.relation.publisherversionhttp://dx.doi.org/10.3390/computers10110154
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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© 2021 Los autores
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