IEEE

Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems

Abstract: In conventional process monitoring, a latent variable model (LVM) is first learned in offline training and the statistics related to extracted latent features and residuals are then used for ...
Frontiers

Corrected goodness-of-fit index in latent variable modeling using non-parametric bootstrapping

1 ICCTR, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States 2 Department of Self-Development Skills, King Saud University, Riyadh, Saudi Arabia Latent variable modeling (LVM ...
GitHub

Learning Latent Variables #1692

I am working on the Alarm Model example where latent variables are created for ["HYPOVOLEMIA", "LVEDVOLUME", "STROKEVOLUME"] After following the example code and checking the cpds of the latent ...
IEEE

VAE-Based Interpretable Latent Variable Model for Process Monitoring

Abstract: Latent variable-based process monitoring (PM) models have been generously developed by shallow learning approaches, such as multivariate statistical analysis and kernel techniques. Owing to ...
Frontiers

Model-based experimental manipulation of probabilistic behavior in interpretable behavioral latent variable models

Introduction: Interpretable latent variable models that probabilistically link behavioral observations to an underlying latent process have increasingly been used to draw inferences on cognition from ...