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IEEE17d
Improving Data Generalization With Variational Autoencoders for Network Traffic Anomaly Detection
To solve the mentioned challenges, we propose a combined architecture comprising a Conditional Variational AutoEncoder (CVAE) and a Random Forest (RF) classifier to automatically learn similarity ...
IEEE26d
BiAtt-GVAE: Molecular design for specific target via graph variational autoencoder based on bi-channel interactive attention network - IEEE Xplore
Designing bioactive molecules with desired properties for specific targets is a longstanding challenge in drug design. We introduce a model called BiAtt-GVAE, which incorporates a conditional to more ...