| Individualized help for at-risk students using model-agnostic and counterfactual explanations BI Smith, C Chimedza, JH Bührmann Education and Information Technologies 27 (2), 1539-1558, 2022 | 21 | 2022 |
| Global and individual treatment effects using machine learning methods BI Smith, C Chimedza, JH Bührmann International Journal of Artificial Intelligence in Education 30 (3), 431-458, 2020 | 16 | 2020 |
| Random Forest Missing Data Imputation Methods: Implications for Predicting At-Risk Students BI Smith, C Chimedza, JH Bührmann International Conference on Intelligent Systems Design and Applications, 298-308, 2019 | 6 | 2019 |
| K-medoid petal-shaped clustering for the capacitated vehicle routing problem JH Bührmann, F Bruwer South African Journal of Industrial Engineering 32 (3), 33-41, 2021 | 3 | 2021 |
| Treatment Effect Performance of the X-Learner in the Presence of Confounding and Non-Linearity BI Smith, C Chimedza, JH Bührmann Mathematical and Computational Applications 28 (2), 32, 2023 | 1 | 2023 |
| Measuring treatment effects of online videos on academic performance using difference-in-differences estimations BI Smith, JH Bührmann, C Chimedza South African Journal of Industrial Engineering 32 (3), 111-121, 2021 | 1 | 2021 |
| Corporate Failure Prediction of JSE Listed South African Firms Using Machine JH Maluleke, V.E. and Bührmann South African Instituite of Industrial Engineering 32 (2021), 2021 | | 2021 |
| Investigating human behaviour in queues J Buhrmann, R Chiwawa SAIIE NeXXXt, 2019 | | 2019 |
| Proactive server allocations in single queuing systems G Cox, J Buhrmann SAIIE NeXXXt, 2019 | | 2019 |
| The suitability of SAP ERP to generate a maintenance zero based budget CA Saffy, J Bührmann 29th Annual Conference of SAIIE, 2018 | | 2018 |
| A capacitated clustering heuristic for large datasets JH Bührmann, I Campbell, MM Ali International Conference on Industrial Engineering and Operations Management …, 2018 | | 2018 |
