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

dc.contributor.author	Castillo, E.
dc.contributor.author	Fernández Canteli, Alfonso Carlos
dc.contributor.author	Muñiz Calvente, Miguel
dc.date.accessioned	2024-07-11T07:29:56Z
dc.date.available	2024-07-11T07:29:56Z
dc.date.issued	2024
dc.identifier.citation	Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 382(2264), (2024); doi:10.1098/rsta.2022.0380
dc.identifier.issn	1364-503X
dc.identifier.uri	https://hdl.handle.net/10651/73209
dc.description.sponsorship	Spanish Ministry of Science and Innovation [MCI-20-PID2019-105593GB-I00]
dc.language.iso	eng
dc.relation.ispartof	Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178420236&doi=10.1098%2frsta.2022.0380&partnerID=40&md5=36c96431d0dac38f611df6813ce59c7d
dc.title	Automatic machine learning versus human knowledge-based models, property-based models and the fatigue problem
dc.type	journal article
dc.identifier.doi	10.1098/rsta.2022.0380
dc.relation.publisherversion	http://dx.doi.org/10.1098/rsta.2022.0380

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