A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides. Hossein Abbasi , Mahdi Malekpour , Shahin Yaghoobi , Sina Abdous , Mohammad Hossein ...

In this study, we proposed HDVAE (Hierarchical Decoupled Variational Autoencoder) which significantly improved the identification ability of the spatial domain in ST data through multi-hop graph ...

Cross-modal information retrieval refers to the process of linking and querying data across distinct modalities, such as images, text, audio, and video.

Specifically, a variational autoencoder firstly trains a generative distribution and extracts reconstruction based features. Then we adopt a deep brief network to estimate the component mixture ...

It has to be done so all the tensors were the same size. After that I run a handwritten VAE consisting of an encoder and a decoder with added reparameterization trick, so the autoencoder become ...

Hence, this paper proposes a hierarchical AutoEncoder (AE) feature fusion on the frequency domain. The latent representations from different layers of the autoencoder are combined and given as input ...

The typical investment bank operates in a rigid, strict hierarchy, more so than most corporate or financial institutions. In his book "How to Be an Investment Banker: Recruiting, Interviewing, and ...

A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides. Next. Figures Tables. Close figure viewer. Back to article. Figure title goes here.

The win ratio is a method for analyzing a hierarchical composite outcome. It has been most widely used in randomized clinical trials (RCTs) in cardiovascular disease. We performed a review of ...

Accurate diagnosis of cancer subtypes is a great guide for the development of surgical plans and prognosis in the clinic. Raman spectroscopy, combined with the machine learning algorithm, has been ...