- Unsupervised outlier detection using neural network-based mixtures of probabilistic principal component analyzers for building chiller fault diagnosis. In: Building and Environment, v. 225 (November 2022). (2022):
- Outlier detection via multiclass deep autoencoding Gaussian mixture model for building chiller diagnosis. In: Energy and Buildings, v. 259 (March 2022). (2022):