A transdisciplinary team has created an advanced atlas of the human deep brain, revealing the details of the architecture of nuclei and connections. The results are published in Scientific ...

Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

That said, applying a neural autoencoder anomaly detection system to tabular data is typically the best way to start. A limitation of the autoencoder architecture presented in this article is that it ...

The deep learning architecture of the Breast Cancer Risk Calculator system. We developed the model with two autoencoder deep networks and one multilayer perceptron.

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...