4.3.3 Results

"TL SVM similar domains". As depicted in Table 3, this framework (combining part of the pre-trained CNN with an SVM) is able to identify SMMs at a mean F1-score of 74.50 and 91.81% for time and frequency domains respectively. As opposed to the technique of directly applying the pre-trained CNN for classification which fails to recognize SMMs, "TL SVM similar domains" framework is able to capture relevant features for the recognition of SMMs across subjects. Thus, we can
