Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/14049| Title: | Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering | Authors: | Zdravevski, Eftim Lameski, Petre Trajkovikj, Vladimir Kulakov, Andrea CHorbev, Ivan Goleva, Rossitza Pombo, Nuno Garcia, Nuno |
Issue Date: | 2017 | Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | Journal: | IEEE Access | URI: | http://hdl.handle.net/20.500.12188/14049 | DOI: | 10.1109/access.2017.2684913 |
| Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2017_03_Zdravevski_AAL_IEEE_Access_2017_online.pdf | 5.31 MB | Adobe PDF | View/Open |
Page view(s)
46
checked on Jul 24, 2024
Download(s)
6
checked on Jul 24, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.