- The Building Data Genome Directory – An open, comprehensive data sharing platform for building performance research. Dans: Journal of Physics: Conference Series, v. 2600, n. 3 (1 novembre 2023). (2023):
- Microclimate spatio-temporal prediction using deep learning and land use data. Dans: Building and Environment, v. 253 (avril 2024). (2024):
- How spatio-temporal resolution impacts urban energy calibration. Dans: Energy and Buildings, v. 292 (août 2023). (2023):
- Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes. Dans: Building and Environment, v. 237 (juin 2023). (2023):
- Challenges of urban digital twins: A systematic review and a Delphi expert survey. Dans: Automation in Construction, v. 147 (mars 2023). (2023):
- Towards Human-centric Digital Twins: Leveraging Computer Vision and Graph Models to Predict Outdoor Comfort. Dans: Sustainable Cities and Society, v. 93 (juin 2023). (2023):
- Generative Adversarial Networks in the built environment: A comprehensive review of the application of GANs across data types and scales. Dans: Building and Environment, v. 223 (septembre 2022). (2022):
- Extending CityGML for IFC-sourced 3D city models. Dans: Automation in Construction, v. 121 (janvier 2021). (2021):