Massachusetts Judge Beverly Cannone set a Friday deadline for Karen Read's defense team to turn over additional disclosures about the controversial crash reconstruction firm that is central to her ...

Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. For example, it can help detect ...

Introduction: Cyberattacks against Power Transformer Differential Protection (PTDP) have the potential to cause significant disruption and widespread blackouts in power infrastructure. Recent ...

However, most existing autoencoder-based methods discard the reconstruction of auxiliary information, which poses a huge challenge for better representation learning and model scalability.

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 ...

and the reconstruction error, at each layer, between the old neurons and the new neurons. Now the original neurons at layer L+1 are playing the role of the latent state of an autoencoder between the ...