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selection, International Joint Conference on Artificial Intelligence, Montreal, Quebec, Canada. Vol.
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Internet of Things (IoT)
24. J. S. A. Skowron, Information granules in distributed environment, in Zhong, N., Skowron, A.,
and Ohsuga, S. (eds.), New Directions in Rough Sets, Data Mining, and Granular-Soft Computing,
Lecture notes in Artificial Intelligence 1711, Springer, Berlin (1999), pp. 357–365.
25. Y. Yao, Interval-set algebra for qualitative knowledge representation, Proceedings of the 5th
International Conference on Computing and Information, in Chang, C. K., and Koczkodaj, W.W. (eds.),
IEEE Computer Society Press, Sudbury, Ontario, Canada. (1993), pp. 370–375.
26. Interaxon. Protocols: Compressed EEG packets. http://developer.choosemuse.com/protocols/
bluetooth-packet-structure/compressed-eeg-packets (2016).
27. Interaxon. Research tools: Available data, relative power bands. http://developer.choosemuse.
com/research-tools/available-data#Relative_Band_Powers (2016).
28. R. Kohavi, et al., A study of cross-validation and bootstrap for accuracy estimation and model
selection, International Joint Conference on Artificial Intelligence, Montreal, Quebec, Canada. Vol.
14 (1995), pp. 1137–1145.
29. S. N. Sivanandam and S. N. Deepa, Introduction to genetic algorithms. Springer Science &
Business Media, (2007).
30. J. Davis and J. M. Goadrich, The relationship between precision-recall and roc curves, in
Proceedings of the 23rd International Conference on Machine Learning, ACM (2006), pp. 233–240.
31. J. T. Townsend, Theoretical analysis of an alphabetic confusion matrix, Perception &
Psychophysics, 9 (1) (1971), 40–50.
32. D. M. Powers, Evaluation: From precision, recall and f-measure to roc, informedness, markedness and correlation, Journal of Machine Learning Technologies 2 (1) (2011), 37–63.
33. M. Wall, GAlib: A C++ Library of Genetic Algorithm Components. Mechanical Engineering
Department, Massachusetts Institute of Technology. https://www.cs.montana.edu/~bwall/
cs536b/galibdoc.pdf.
34. B. Leo, Random forests. Machine Learning 45 (1) (2001), 5–32.