most citedFinancial Time Series Data Augmentation with Generative Adversarial Networks and Extended Intertemporal Return Plots

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 2 cited

Financial Time Series Data Augmentation with Generative Adversarial Networks and Extended Intertemporal Return Plots

Justin Hellermann, Qinzhuan Qian, Ankit Shah

Data augmentation is a key regularization method to support the forecast and classification performance of highly parameterized models in computer vision. In the time series domain…