Students' perception of excessive difficulty in STEM degrees lowers thei...
The present work proposes a Multi-Output Classification Autoencoder (MOC...
Generative Adversarial Networks (GANs) are powerful Machine Learning mod...
With the latest advances in deep learning generative models, it has not ...
In the last few years, there have been several revolutions in the field ...
Solving the convergence issues of Generative Adversarial Networks (GANs)...
Due to the growing rise of cyber attacks in the Internet, flow-based dat...