DenoiseNet is a powerful image processing project that utilizes a convolutional autoencoder to effectively remove noise from images, enhancing their quality and visual appeal. This project focuses on ...

Abstract: Recent advancements in hyperspectral imaging systems have opened up possibilities for identifying and distinguishing materials based on their spectral characteristics, as every material has ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

A TensorFlow implementation of "Marked point process variational autoencoder with applications to unsorted spiking activities." The Python Notebook tutorial.ipynb demonstrates how to use this model.

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...

Abstract: Annotation of biomedical databases by clinicians is a very difficult, sometimes imprecise, and time consuming task. An alternative is to ask the clinician expert for the annotations they are ...