Learning to Fairly Classify the Quality of Wireless Links
Date
2021Author
Cerar, Gregor
Yetgin, Halil
Mohorcic, Mihael
Fortuna, Carolina
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Show full item recordAbstract
Machine learning (ML) has been used to develop increasingly accurate link quality estimators for wireless networks. However, more in depth questions regarding the most suitable class of models, most suitable metrics and model performance on imbalanced dat
URI
http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9888https://doi.org/10.23919/WONS51326.2021.9415540
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