- Explainable domain adaptation for imbalanced occupancy estimation. Dans: Journal of Building Engineering, v. 97 (novembre 2024). (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). (2024):
- 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). (2023):
- Unsupervised domain adaptation without source data for estimating occupancy and recognizing activities in smart buildings. Dans: Energy and Buildings, v. 303 (janvier 2024). (2024):
- 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). (2023):
- 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):
- Transfer learning for estimating occupancy and recognizing activities in smart buildings. Dans: Building and Environment, v. 217 (juin 2022). (2022):
- Cooperative and Interactive Learning to estimate human behaviours for energy applications. Dans: Energy and Buildings, v. 258 (mars 2022). (2022):
- Modelling of occupant behaviour in non-residential mixed-mode buildings: The distinctive features of tropical climates. Dans: Energy and Buildings, v. 259 (mars 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):
- Estimating occupancy in heterogeneous sensor environment. Dans: Energy and Buildings, v. 129 (octobre 2016). (2016):
- Database quality assessment for interactive learning: Application to occupancy estimation. Dans: Energy and Buildings, v. 209 (février 2020). (2020):