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Create README.md to provide instructions on how to use the .mat files.
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osmanberke authored Sep 22, 2023
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As an example, the entry at the first row and column represents the test result on the first block of the first participant when all the data of the first participant is reserved for testing, and the remaining participants' data are used for training the ensemble of DNNs.
The .mat files have dimensions of 35x6x9 for the benchmark and 70x4x9 for the BETA datasets. The final dimension represents different signal lengths: the first position corresponds to 0.2 sec, the second to 0.3 sec, and so on, culminating in 1.0 sec for the last position. The dimensions 35x6 and 70x4 indicate the number of participants and blocks, respectively. As an example, the entry at the first row and column represents the test result on the first block of the first participant when all the data of the first participant is reserved for testing, and the remaining participants' data are used for training the ensemble of DNNs.

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