Roberto Chiosa
- (2023): Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts. Dans: Building Simulation, v. 16, n. 8 (juin 2023).
- (2022): Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries. Dans: Energy and Buildings, v. 270 (septembre 2022).
Structurae coopère avec
