The learned shape descriptor is invariant to affine transformations, including shifts, rotations and scaling. Thanks to the adopted autoencoder framework, inter-subject differences are automatically ...

This work highlights the importance of a Hybrid Model using Deep Learning that combines a 1D-Convolutional Neural Network (CNN) with Long Short-Term Memory (LSTM). This CNN-LSTM model effectively ...