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- (2024): Sparse coding-based transfer learning for energy disaggregation. Dans: Energy and Buildings, v. 320 (octobre 2024).
- (2024): Occupant counting model development for urban building energy modeling using commercial off-the-shelf Wi-Fi sensing technology. Dans: Building and Environment, v. 258 (juin 2024).
- (2024): Unsupervised clustering-based domain adaptation for estimating occupancy and recognizing activities in smart buildings. Dans: Journal of Building Engineering, v. 85 (mai 2024).
- (2023): A novel non-intrusive load monitoring technique using semi-supervised deep learning framework for smart grid. Dans: Building Simulation, v. 17, n. 3 (décembre 2023).
- (2024): Unsupervised domain adaptation without source data for estimating occupancy and recognizing activities in smart buildings. Dans: Energy and Buildings, v. 303 (janvier 2024).
- (2023): The use of GANs and transfer learning in model-order reduction of turbulent wake of an isolated high-rise building. Dans: Building and Environment, v. 246 (décembre 2023).
- (2023): Unsupervised domain adaptation with and without access to source data for estimating occupancy and recognizing activities in smart buildings. Dans: Building and Environment, v. 243 (septembre 2023).
- (2022): Unsupervised outlier detection using neural network-based mixtures of probabilistic principal component analyzers for building chiller fault diagnosis. Dans: Building and Environment, v. 225 (novembre 2022).
- (2022): Improving residential building energy simulations through occupancy data derived from commercial off-the-shelf Wi-Fi sensing technology. Dans: Energy and Buildings, v. 272 (octobre 2022).
- (2022): Two-Dimensional and Three-Dimensional CNN-Based Simultaneous Detection and Activity Classification of Construction Workers. Dans: Journal of Computing in Civil Engineering, v. 36, n. 4 (juillet 2022).
- (2022): Transfer learning for estimating occupancy and recognizing activities in smart buildings. Dans: Building and Environment, v. 217 (juin 2022).
- (2022): Outlier detection via multiclass deep autoencoding Gaussian mixture model for building chiller diagnosis. Dans: Energy and Buildings, v. 259 (mars 2022).
- (2022): A new workflow for detailed urban scale building energy modeling using spatial joining of attributes for archetype selection. Dans: Journal of Building Engineering, v. 46 (avril 2022).
- (2022): Towards scalable deployment of Hidden Markov models in occupancy estimation: A novel methodology applied to the study case of occupancy detection. Dans: Energy and Buildings, v. 254 (janvier 2022).
- (2020): Database quality assessment for interactive learning: Application to occupancy estimation. Dans: Energy and Buildings, v. 209 (février 2020).
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