EvaGoNet: an integrated network of variational autoencoder and Wasserstein generative adversarial network with gradient penalty for binary classification tasks

DOI10.1016/j.ins.2023.01.133MaRDI QIDQ6127109

No author found.

Publication date: 10 April 2024

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

feature engineeringVAEbioOMIC dataevagonetGaussian mixture VAEWGANgp

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• An effective method to determine whether a point is within a convex hull and its generalized convex polyhedron classifier
• Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning
• Learning joint latent representations based on information maximization

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