| Student engagement, learning environments and the COVID-19 pandemic: A comparison between psychology and engineering undergraduate students in the UK M Limniou, N Sedghi, D Kumari, E Drousiotis Education Sciences 12 (10), 671, 2022 | 27 | 2022 |
| Capturing fairness and uncertainty in student dropout prediction–a comparison study E Drousiotis, P Pentaliotis, L Shi, AI Cristea International Conference on Artificial Intelligence in Education, 139-144, 2021 | 16 | 2021 |
| Early predictor for student success based on behavioural and demographical indicators E Drousiotis, L Shi, S Maskell Intelligent Tutoring Systems: 17th International Conference, ITS 2021 …, 2021 | 10 | 2021 |
| A Shared Memory SMC Sampler for Decision Trees E Drousiotis, A Varsi, PG Spirakis, S Maskell 2023 IEEE 35th International Symposium on Computer Architecture and High …, 2023 | 4 | 2023 |
| Single MCMC chain parallelisation on decision trees E Drousiotis, P Spirakis Annals of Mathematics and Artificial Intelligence, 1-14, 2023 | 4 | 2023 |
| Probabilistic decision trees for predicting 12-month university students likely to experience suicidal ideation E Drousiotis, DW Joyce, RC Dempsey, A Haines, PG Spirakis, L Shi, ... IFIP International Conference on Artificial Intelligence Applications and …, 2023 | 4 | 2023 |
| Parallel approaches to accelerate bayesian decision trees E Drousiotis, PG Spirakis, S Maskell arXiv preprint arXiv:2301.09090, 2023 | 3 | 2023 |
| Balancing fined-tuned machine learning models between continuous and discrete variables-a comprehensive analysis using educational data E Drousiotis, P Pentaliotis, L Shi, AI Cristea International Conference on Artificial Intelligence in Education, 256-268, 2022 | 3 | 2022 |
| Intrinsically Interpretable Decision Trees for Healthcare Applications E Drousiotis, D Joyce, A Varsi, P Spirakis, S Maskell | | 2024 |
| Bayesian Decision Trees Inspired from Evolutionary Algorithms E Drousiotis, AM Phillips, PG Spirakis, S Maskell International Conference on Learning and Intelligent Optimization, 318-331, 2023 | | 2023 |
| Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods E Drousiotis, L Shi, PG Spirakis, S Maskell International Conference on Engineering Applications of Neural Networks, 90-102, 2022 | | 2022 |
| Conditional Importance Resampling for an Enhanced Sequential Monte Carlo Sampler S Habibi, E Drousiotis, A Varsi, S Maskell | | |
Simon MaskellUniversity of Liverpool在 liverpool.ac.uk 的电子邮件经过验证
