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Automatic machine learning versus human knowledge-based models, property-based models and the fatigue problem

dc.contributor.authorCastillo, E.
dc.contributor.authorFernández Canteli, Alfonso Carlos 
dc.contributor.authorMuñiz Calvente, Miguel 
dc.date.accessioned2024-07-11T07:29:56Z
dc.date.available2024-07-11T07:29:56Z
dc.date.issued2024
dc.identifier.citationPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 382(2264), (2024); doi:10.1098/rsta.2022.0380
dc.identifier.issn1364-503X
dc.identifier.urihttps://hdl.handle.net/10651/73209
dc.description.sponsorshipSpanish Ministry of Science and Innovation [MCI-20-PID2019-105593GB-I00]
dc.language.isoeng
dc.relation.ispartofPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85178420236&doi=10.1098%2frsta.2022.0380&partnerID=40&md5=36c96431d0dac38f611df6813ce59c7d
dc.titleAutomatic machine learning versus human knowledge-based models, property-based models and the fatigue problem
dc.typejournal article
dc.identifier.doi10.1098/rsta.2022.0380
dc.relation.publisherversionhttp://dx.doi.org/10.1098/rsta.2022.0380


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