Table A1.

Architecture of the 1D convolution components for ResNet (RN). ConvA and ConvB denotes convolutional layer A and B with different parameters.

Network	Layer	Number of channels	Kernel size	Stride	Pad
	ConvA	64	7	2	3
	ConvB	64	3	1	0
Residual Block A1	Convolutional	64	3	2	1
	Convolutional	64	3	1	1
	Residual	64	1	2	0
Residual Block A2	Convolutional	128	3	2	1
	Convolutional	128	3	1	1
	Residual	128	1	2	0
Residual Block A3	Convolutional	256	3	2	1
	Convolutional	256	3	1	1
	Residual	256	1	2	0
Residual Block B1	Convolutional	64	2	2	1
	Convolutional	64	2	1	1
	Residual	64	1	2	0
Residual Block B2	Convolutional	128	2	2	1
	Convolutional	128	2	1	1
	Residual	128	1	2	0
Residual Block B3	Convolutional	256	2	2	1
	Convolutional	256	2	1	1
	Residual	256	1	2	0