3 citations · 5 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2021★ 3 cited
Leveraging Image-based Generative Adversarial Networks for Time Series Generation
Justin Hellermann, Stefan Lessmann
Generative models for images have gained significant attention in computer vision and natural language processing due to their ability to generate realistic samples from complex da…