340 citations · 392 across the 4 of their papers we have counts for
4 papers
Dynamics of Fourier Modes in Torus Generative Adversarial Networks
Ángel González-Prieto, Alberto Mozo, Edgar Talavera +1
Generative Adversarial Networks (GANs) are powerful Machine Learning models capable of generating fully synthetic samples of a desired phenomenon with a high resolution. Despite th…
Data Augmentation techniques in time series domain: A survey and taxonomy
Guillermo Iglesias, Edgar Talavera, Ángel González-Prieto +2
With the latest advances in Deep Learning-based generative models, it has not taken long to take advantage of their remarkable performance in the area of time series. Deep neural n…
Improving the quality of generative models through Smirnov transformation
Ángel González-Prieto, Alberto Mozo, Sandra Gómez-Canaval +1
Solving the convergence issues of Generative Adversarial Networks (GANs) is one of the most outstanding problems in generative models. In this work, we propose a novel activation f…
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks
Alberto Mozo, Ángel González-Prieto, Antonio Pastor +2
Due to the growing rise of cyber attacks in the Internet, flow-based data sets are crucial to increase the performance of the Machine Learning (ML) components that run in network-b…