Open access
Aug 2026
Embedded One-Class Classification for Deep Neural Network Representations
An Embedded One-Class Classification (EOCC) framework for monitoring task-informed neural network representations andComparisons with depth-based, density-based, covariance-based, isolation-based, and end-to-end deep one-class methods show that EOCC is competitive and frequently achieves low Type II error while maintaining the nominal in-control acceptance probability.
Edgard M. Maboudou-Tchao, Poorna Sandamini Senaratne, Randyll Pandohie et al.
· Mathematics · 0 citations