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