Scientists at Weill Cornell Medicine have developed a new algorithm, the Krakencoder, that merges multiple types of brain ...

There is a wide range of behaviors and activities that fit the definition of hazing, the following are selected examples of hazing divided into three categories: subtle, harassment, and violent. The ...

This paper proposes a complex recurrent variational autoencoder (VAE) framework, for modeling time series data, particularly speech signals. First, to account for the temporal structure of speech ...

As such, based on the self-supervised learning, this article proposes a spatial–spectral hierarchical multiscale transformer-based masked autoencoder (SSHMT-MAE) for HSI classification. First, after ...

This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...

This repository contains numerous applications of autoencoder neural networks. Projects include image denoising, detection of infected cells, and processing of the MNIST dataset. Each application ...

Methods: This study integrates rainfall, surface displacement, and vertical displacement monitoring data, and proposes an automatic failure mode identification method based on deep convolutional ...

Where's the cornucopia ... or was there ever one in the first place? (Fruit of the Loom) ...