Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/30818
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cholakoska, Ana | en_US |
dc.contributor.author | Rakovic, Valentin | en_US |
dc.contributor.author | GJoreski, Hristijan | en_US |
dc.contributor.author | Pfitzner, Bjarne | en_US |
dc.contributor.author | Arnrich, Bert | en_US |
dc.contributor.author | Kalendar, Marija | en_US |
dc.date.accessioned | 2024-06-27T12:38:17Z | - |
dc.date.available | 2024-06-27T12:38:17Z | - |
dc.date.issued | 2021-09 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/30818 | - |
dc.title | Machine Learning based Anomaly Detection in Ambient Assisted Living Environments | en_US |
dc.type | Article | en_US |
dc.relation.conference | ETAI | en_US |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Faculty of Electrical Engineering and Information Technologies | - |
crisitem.author.dept | Ss. Cyril and Methodius University in Skopje | - |
Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Conference Papers |
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