A full example of using the software for feature extraction on generic CSV files with time series is available in generic_dataframe_demo.py. The script allows modifying the settings using command line ...

One possible alternative direction for using DL techniques in psychiatric neuroimaging studies may be diagnostic label-free feature extraction. In the current study, we focus on an autoencoder (AE) as ...

Another approach for constructing a good feature description is automatic feature extraction (also called dimensionality ... On the other hand, we use VAE, not a regular autoencoder, because VAE will ...

Yet what is an autoencoder exactly? Briefly ... used to augment the training of other types of neural networks. This is also true of using autoencoders for feature extraction, as autoencoders can be ...

Instead of using various complex perception algorithms, and/or manually choosing task-specific data features, this unsupervised feature extraction method allows simultaneous online deployment of ...

So, in this paper, we propose using the stacked sparse autoencoder (SSAE), an instance of a deep ... We compare SSAE with other feature extraction methods proposed by previous researchers. The ...