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54 | Al-Qaysi1, Al-Saegh, Hussein & Ahmed
Wavelet Performance
Value 800
700
600 Morlet BMP
500 Mother wavelet
400
300
200
100
0
Amor
Training time Test time Log loss
Fig. 6: Training time. test time, log loss for the optimal
hybrid model, and different wavelet mother functions.
(a) [10] Z. Al-Qaysi, et al., "Systematic review of training
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(b) interface: Coherent taxonomy, open issues and
Fig. 5: ROC (a) for left hand and (b) for right hand. recommendation pathway solution," Health and
Technology, vol. 11, pp. 783-801, 2021.
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for Motor Imagery Classification in Brain-Computer
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[13] W. Wei, et al., "A transfer learning framework for
RSVP-based brain computer interface," in 2020 42nd
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[14] X. Wei, et al., "Inter-subject deep transfer learning for
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TABLE II
WTNN EVALUATION OVER DATASET-II (TRAINING PART)
Performance Metrics
Subjects Training Testing AUC CA F1 Precision Recall Logloss Specificity
Time Time
S1 16.456 1.00 0.997 0.997 0.997 0.997 0.014 0.997
S2 301.676 24.112 1.00 1.00 1.00 1.00 1.00 0.004 1.00
S3 322.176 16.285 1.00 0.997 0.997 0.997 0.997 0.006 0.997
S4 299.950 17.193 0.994 0.997 0.997 0.997 0.997 0.035 0.997
S5 294.909 17.040 0.996 0.994 0.994 0.994 0.994 0.038 0.994
S6 292.311 15.267 1.00 0.997 0.997 0.997 0.997 0.008 0.997
S7 310.226 16.797 1.00 0.997 0.997 0.997 0.997 0.006 0.997
S8 305.679 17.225 1.00 0.997 0.997 0.997 0.997 0.014 0.997
S9 335.509 16.175 0.994 0.997 0.997 0.997 0.997 0.031 0.997
Mean 293.354 17.39444 0.998222 0.997 0.997 0.997 0.997 0.017333 0.997
306.1989