dc.contributor.author | Mazaev, G. | |
dc.contributor.author | Weyns, Michael | |
dc.contributor.author | Vancoillie, F. | |
dc.contributor.author | Vaes, G. | |
dc.contributor.author | Ongenae, Femke | |
dc.contributor.author | Van Hoecke, Sofie | |
dc.date.accessioned | 2024-02-02T11:18:48Z | |
dc.date.available | 2023-01-20T10:55:20Z | |
dc.date.available | 2024-02-02T11:18:48Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | / | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/41000.2 | |
dc.title | Leak localization in water distribution networks by directly fitting the learning parameters of a Gaussian naive Bayes classifier | |
dc.type | Proceedings paper | |
dc.contributor.imecauthor | Weyns, Michael | |
dc.contributor.imecauthor | Ongenae, Femke | |
dc.contributor.imecauthor | Van Hoecke, Sofie | |
dc.contributor.orcidimec | Weyns, Michael::0000-0002-6157-5997 | |
dc.contributor.orcidimec | Van Hoecke, Sofie::0000-0002-7865-6793 | |
dc.contributor.orcidimec | Ongenae, Femke::0000-0003-2529-5477 | |
dc.date.embargo | 2022-12-20 | |
dc.source.numberofpages | 6 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 4854 | |
dc.source.endpage | 4859 | |
dc.source.conference | Big Data2022, the IEEE International Conference on Big Data | |
dc.source.conferencedate | 17-20/12/2022 | |
dc.source.conferencelocation | Osaka, Japan | |
dc.source.journal | / | |
imec.availability | Published - open access | |