| Residual geochemical gold grade prediction using extreme gradient boosting B Ibrahim, F Majeed, A Ewusi, I Ahenkorah Environmental Challenges 6, 100421, 2022 | 17 | 2022 |
| Modelling of arsenic concentration in multiple water sources: a comparison of different machine learning methods B Ibrahim, A Ewusi, I Ahenkorah, YY Ziggah Groundwater for Sustainable Development 17, 100745, 2022 | 15 | 2022 |
| A novel XRF-based lithological classification in the Tarkwaian paleo placer formation using SMOTE-XGBoost B Ibrahim, I Ahenkorah, A Ewusi, F Majeed Journal of Geochemical Exploration 245, 107147, 2023 | 10 | 2023 |
| A novel artificial intelligence approach for regolith geochemical grade prediction using multivariate adaptive regression splines F Majeed, YY Ziggah, C Kusi-Manu, B Ibrahim, I Ahenkorah Geosystems and Geoenvironment 1 (2), 100038, 2022 | 10 | 2022 |
| Predicting reservoir temperature of geothermal systems in Western Anatolia, Turkey: A focus on predictive performance and explainability of machine learning models B Ibrahim, JO Konduah, I Ahenkorah Geothermics 112, 102727, 2023 | 7 | 2023 |
| Assessing the suitability of boosting machine-learning algorithms for classifying arsenic-contaminated waters: a novel model-explainable approach using shapley additive … B Ibrahim, A Ewusi, I Ahenkorah Water 14 (21), 3509, 2022 | 5 | 2022 |
| Explainable risk assessment of rockbolts’ failure in underground coal mines based on categorical gradient boosting and Shapley additive explanations (SHAP) B Ibrahim, I Ahenkorah, A Ewusi Sustainability 14 (19), 11843, 2022 | 5 | 2022 |
| A new implementation of stacked generalisation approach for modelling arsenic concentration in multiple water sources B Ibrahim, A Ewusi, YY Ziggah, I Ahenkorah International Journal of Environmental Science and Technology 21 (5), 5035-5052, 2024 | 1 | 2024 |
| Classifying rockburst with confidence: A novel conformal prediction approach B Ibrahim, I Ahenkorah International Journal of Mining Science and Technology 34 (1), 51-64, 2024 | 1 | 2024 |
| Predicting Reservoir Temperature of Geothermal Systems in West Anatolia, Turkey: A Focus on Predictive Performance and Explainability of Machine Learning Models B Ibrahim, JO Konduah, I Ahenkorah Turkey: A Focus on Predictive Performance and Explainability of Machine …, 2022 | 1 | 2022 |
| A Transparent and Valid Framework for Rockburst Assessment: Unifying Interpretable Machine Learning and Conformal Prediction B Ibrahim, A Tetteh-Asare, I Ahenkorah Rock Mechanics and Rock Engineering, 1-15, 2024 | | 2024 |
Isaac AhenkorahUniversity of South AustraliaVerified email at mymail.unisa.edu.au
