- Predicting the opening state of a group of windows in an open-plan office by using machine learning models. In: Building and Environment, v. 225 (November 2022). (2022):
- Predicting chemical emissions from household cleaning and personal care products: A review. In: Building and Environment, v. 207 (January 2022). (2022):
- Coexposure to indoor pollutants in French schools and associations with building characteristics. In: Energy and Buildings, v. 252 (December 2021). (2021):
- Non-negative matrix factorization for the analysis of particle number concentrations: Characterization of the temporal variability of sources in indoor workplace. In: Building and Environment, v. 203 (October 2021). (2021):
- A long-term dynamic model for predicting the concentration of semivolatile organic compounds in indoor environments: Application to phthalates. In: Building and Environment, v. 148 (January 2019). (2019):
- Applicability and relevance of six indoor air quality indexes. In: Building and Environment, v. 109 (November 2016). (2016):
- Association of carbon dioxide with indoor air pollutants and exceedance of health guideline values. In: Building and Environment, v. 93 (November 2015). (2015):
- Indoor air quality requirements in green building certifications. In: Building and Environment, v. 92 (October 2015). (2015):