1. Next generation pure component property estimation models: with and without machine learning techniques;Alshehri;AlChE J.,2022
2. Comparison of group-contribution and machine learning-based property prediction models with uncertainty quantification;Aouichaoui,2021
3. Combining group-contribution concept and graph neural networks toward interpretable molecular property models;Aouichaoui;J. Chem. Inf. Model.,2023
4. Uncertainty estimation in deep learning-based property models: graph neural networks applied to the critical properties;Aouichaoui;AlChE J.,2022
5. Application of outlier treatment towards improved property prediction models;Aouichaoui,2022