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- 2025
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Mark
Increased rent misspent? How ownership matters for renovation and rent increases in rental housing in Sweden
(
- Contribution to journal › Article
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Mark
Predictive modeling and estimation of moisture damages in Swedish buildings : A machine learning approach
(
- Contribution to journal › Article
- 2023
-
Mark
Indoor radon interval prediction in the Swedish building stock using machine learning
(
- Contribution to journal › Article
-
Mark
Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks
2023) In Expert Systems with Applications(
- Contribution to journal › Article
-
Mark
Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings
(
- Contribution to journal › Article
-
Mark
Evaluating the Indoor Radon Concentrations in the Swedish Building Stock Using Statistical and Machine Learning
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
-
Mark
Energy efficiency at what cost? Unjust burden-sharing of rent increases in extensive energy retrofitting projects in Sweden
(
- Contribution to journal › Article
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Mark
Predicting the presence of hazardous materials in buildings using machine learning
(
- Contribution to journal › Article
-
Mark
Modeling Artificial Neural Networks to Predict Asbestos-containing Materials in Residential Buildings
2022)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
-
Mark
A data-driven approach to assess the risk of encountering hazardous materials in the building stock based on environmental inventories
(
- Contribution to journal › Article