Search Results for author:
Found 3 papers, 0 papers with code
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Our focus is to present a comparative study to evaluate the performance of different deep architectures through supervised learning and provide insights in the choice of deep feature representation techniques.
SPA-GAN: Spatial Attention GAN for Image-to-Image Translation
Image-to-image translation is to learn a mapping between images from a source domain and images from a target domain.
Generative Adversarial Network
Image-to-Image Translation
+2
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Our focus is to present a comparative study to evaluate the performance of different deep architectures through supervised learning and provide insights in the choice of deep feature representation techniques.
