Active learning for epidemic source detection

dc.contributor.authorSterchi, Martin
dc.contributor.authorHilfiker, Lorenz
dc.contributor.authorGrütter, Rolf
dc.contributor.authorBernstein, Abraham
dc.date.accessioned2025-01-25T08:33:31Z
dc.date.issued2023
dc.description.abstractOur active learning framework addresses the problem of accurate source detection under resource constraints. The proposed active querying strategies provide a benchmark for this challenge. Promising results on an empirical network of monitored livestock movements suggest the approach has potential applications in this industry.
dc.event12th International Conference on Complex Networks and their Applications
dc.event.end2023-11-30
dc.event.start2023-11-28
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/48166
dc.language.isoen
dc.spatialMenton
dc.subject.ddc004 - Computer Wissenschaften, Internet
dc.subject.ddc005 - Computer Programmierung, Programme und Daten
dc.titleActive learning for epidemic source detection
dc.type06 - Präsentation
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of an abstract
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Unternehmensführungde_CH
relation.isAuthorOfPublication8fd97bed-9fae-445e-bf5b-6d2e87c0eab4
relation.isAuthorOfPublication.latestForDiscovery8fd97bed-9fae-445e-bf5b-6d2e87c0eab4
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