| 2026 |
Adjei-Yeboah, S., Yaw Ankah, M. L., Ibrahim, B., Ziggah, Y. Y., & Aning, C. (2026). Reliable slope stability prediction with guaranteed coverage: integrating conformal prediction and multi-method explainability. Smart Construction and Sustainable Cities, 4(1).
DOI |
| 2024 |
Ibrahim, B., Tetteh Asare, A., & Ahenkorah, I. (2024). A transparent and valid framework for rockburst assessment: unifying Interpretable machine learning and conformal prediction. Rock Mechanics and Rock Engineering, 57(8), 6211-6225.
DOI Scopus11 WoS9 |
| 2024 |
Ibrahim, B., & Ahenkorah, I. (2024). Classifying rockburst with confidence: a novel conformal prediction approach. International Journal of Mining Science and Technology, 34(1), 51-64.
DOI Scopus24 WoS20 |
| 2023 |
Ibrahim, B., Ewusi, A., Ziggah, Y. Y., & Ahenkorah, I. (2023). A new implementation of stacked generalisation approach for modelling arsenic concentration in multiple water sources. International Journal of Environmental Science and Technology, 21(5), 5035-5052.
DOI Scopus4 WoS4 |
| 2023 |
Ibrahim, B., Konduah, J. O., & Ahenkorah, I. (2023). Predicting reservoir temperature of geothermal systems in Western Anatolia, Turkey: a focus on predictive performance and explainability of machine learning models. Geothermics, 112(102727), 1-14.
DOI Scopus30 WoS21 |
| 2022 |
Majeed, F., Ziggah, Y. Y., Kusi Manu, C., Ibrahim, B., & Ahenkorah, I. (2022). A novel artificial intelligence approach for regolith geochemical grade prediction using multivariate adaptive regression splines. Geosystems and Geoenvironment, 1(2, 100038), 1-16.
DOI Scopus20 |
| 2022 |
Ibrahim, B., Majeed, F., Ewusi, A., & Ahenkorah, I. (2022). Residual geochemical gold grade prediction using extreme gradient boosting. Environmental Challenges, 6(article no. 100421), 1-9.
DOI Scopus24 |
| 2022 |
Ibrahim, B., Ewusi, A., Ahenkorah, I., & Ziggah, Y. Y. (2022). Modelling of arsenic concentration in multiple water sources: a comparison of different machine learning methods. Groundwater for Sustainable Development, 17(100745), 1-14.
DOI Scopus27 WoS24 |
| 2022 |
Ibrahim, B., Ewusi, A., & Ahenkorah, I. (2022). Assessing the suitability of boosting machine-learning algorithms for classifying arsenic-contaminated waters: a novel model-explainable approach using SHapley Additive exPlanations. Water, 14(21), 1-23.
DOI Scopus14 WoS12 |
| 2022 |
Ibrahim, B., Ahenkorah, I., Ewusi, A., & Majeed, F. (2022). A novel XRF-based lithological classification in the Tarkwaian paleo placer formation using SMOTE-XGBoost. Journal of Geochemical Exploration, 245(article no. 107147), 1-14.
DOI Scopus23 WoS19 |
| 2022 |
Ibrahim, B., Ahenkorah, I., & Ewusi, A. (2022). Explainable Risk Assessment of Rockbolts’ Failure in Underground Coal Mines Based on Categorical Gradient Boosting and SHapley Additive exPlanations (SHAP). Sustainability Switzerland, 14(19), 11843.
DOI Scopus16 |
