Imbalanced classification of mental workload using a cost-sensitive majority weighted minority oversampling strategy
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Title
Imbalanced classification of mental workload using a cost-sensitive majority weighted minority oversampling strategy
Authors
Keywords
Mental workload, Human–machine system, Imbalanced learning, Cost-sensitive classification, Dynamic resampling of data space, Neural network
Journal
Cognition Technology & Work
Volume 19, Issue 4, Pages 633-653
Publisher
Springer Nature
Online
2017-11-09
DOI
10.1007/s10111-017-0447-x
References
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