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Phase detection with neural networks: interpreting the black box
cris.lastimport.scopus | 2024-02-12T19:48:12Z |
dc.affiliation | Uniwersytet Warszawski |
dc.contributor.author | Tomza, Michał |
dc.contributor.author | Dawid-Łękowska, Anna |
dc.contributor.author | Huembeli, Patrick |
dc.contributor.author | Lewenstein, Maciej |
dc.contributor.author | Dauphin, Alexandre |
dc.date.accessioned | 2024-01-25T16:35:51Z |
dc.date.available | 2024-01-25T16:35:51Z |
dc.date.issued | 2020 |
dc.description.finance | Publikacja bezkosztowa |
dc.description.number | 11 |
dc.description.volume | 22 |
dc.identifier.doi | 10.1088/1367-2630/ABC463 |
dc.identifier.issn | 1367-2630 |
dc.identifier.uri | https://repozytorium.uw.edu.pl//handle/item/115786 |
dc.identifier.weblink | https://iopscience.iop.org/article/10.1088/1367-2630/abc463 |
dc.language | eng |
dc.pbn.affiliation | physical sciences |
dc.relation.ispartof | New Journal of Physics |
dc.relation.pages | 1-9 |
dc.rights | ClosedAccess |
dc.sciencecloud | nosend |
dc.title | Phase detection with neural networks: interpreting the black box |
dc.type | JournalArticle |
dspace.entity.type | Publication |