Mashael Al-Luhaybi

According to our database, Mashael Al-Luhaybi authored at least 5 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

EM-Optimized Parameter Learning Framework for Interpretable Modeling of Therapeutic Activity and Adverse Side Effects in Personalized Hypertension Treatment.

Mashael Al-Luhaybi

IEEE Access, 2026

2022

Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach.

Mashael Al-Luhaybi, Stephen Swift, Steve Counsell, Allan Tucker

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Explainable machine learning for educational data

Mashael Al-Luhaybi

PhD thesis, 2021

2019

Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks.

Mashael Al-Luhaybi, Leila Yousefi, Stephen Swift, Steve Counsell, Allan Tucker

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks.

Leila Yousefi, Allan Tucker, Mashael Al-Luhaybi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018