A new deep clustering method, scDAEC, combines two autoencoders and multi-head attention to untangle noisy single-cell RNA ...
Researchers have developed an unsupervised deep learning model called GSA-VAE that detects faults in electric vehicle ...
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 ...
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 ...
Autoencoders are a common tool for training neural network algorithms, but developers need to be mindful of the challenges that come with using them skillfully. Autoencoders are additional neural ...