The Data Science Lab. Autoencoder Anomaly Detection Using PyTorch. Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a ...

The authors first tested the performance of Dear-DIA on a SGS Human dataset containing 422 synthetic peptides of stable isotope-labeled standards divided into 10 dilution gradients (from 1-fold to ...

Autoencoders don't require data that have been labeled by humans, so the team could feed their autoencoder with around 39,000 unlabeled pairs of ECGs and MRI images, rather than just around 5,000 ...

Introducing Adaptive-k, a novel algorithm for robust training of label noisy datasets, which is easy to implement and does not require additional model training or data augmentation.

Data Dimensionality Reduction Using a Neural Autoencoder with C#. Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that ...