340 citations · 464 across the 4 of their papers we have counts for
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cs.LG2022★ 340 cited
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…
cs.LG2022★ 111 cited
A survey on GANs for computer vision: Recent research, analysis and taxonomy
Guillermo Iglesias, Edgar Talavera, Alberto Díaz-Álvarez
In the last few years, there have been several revolutions in the field of deep learning, mainly headlined by the large impact of Generative Adversarial Networks (GANs). GANs not o…