BierbaumC. R.SzaboS. M.AldrichT. B. (1989). Task analysis of the UH-60 mission and decision rules for developing a UH-60 workload prediction model: Volume 1. Summary report. US Army Research Institute.
2.
BreimanL. (2001). Random Forests. Machine Learning, 45(1), 5–32.
MitchellD. K. (2003). Advanced Improved Performance Researach Integration Tool (IMPRINT) Vetronics Technology Test Bed Model Development.
5.
RusnockC.BorghettiB. J.McQuaidI. (2015). Objective-Analytical Measures of Workload–the Third Pillar of Workload Triangulation? In SchmorrowD. D.FidopiastisC. M. (Eds.), Foundations of Augmented Cognition (pp. 124–135). Springer International Publishing. http://doi.org/10.1007/978-3-319-20816-9_13
6.
SmithA. M.BorghettiB. J.RusnockC. F. (2015). Improving Model Cross-Applicability for Operator Workload Estimation. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 59(1), 681–685. http://doi.org/10.1177/1541931215591148