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Found 3 papers, 1 papers with code
YuruGAN: Yuru-Chara Mascot Generator Using Generative Adversarial Networks With Clustering Small Dataset
However, it is difficult to apply class conditional GANs when the amount of original data is small and when a clear class is not given, such as a yuruchara image.
A deep convolutional neural network model to classify heartbeats
The CNN was trained using the augmented data and achieved an accuracy of 94. 03% and 93. 47% in the diagnostic classification of heartbeats in original and noise free ECGs, respectively.
Application of deep convolutional neural network for automated detection of myocardial infarction using ecg signals
In this study, we implemented a convolutional neural network (CNN) algorithm for the automated detection of a normal and MI ECG beats (with noise and without noise).
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