| A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP) IU Ekanayake, DPP Meddage, U Rathnayake Case Studies in Construction Materials 16, e01059, 2022 | 188 | 2022 |
| Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings DPP Meddage, IU Ekanayake, AU Weerasuriya, CS Lewangamage, ... Journal of Wind Engineering and Industrial Aerodynamics 226, 105027, 2022 | 45 | 2022 |
| Interpretation of machine-learning-based (black-box) wind pressure predictions for low-rise gable-roofed buildings using Shapley additive explanations (SHAP) P Meddage, I Ekanayake, US Perera, HM Azamathulla, MA Md Said, ... Buildings 12 (6), 734, 2022 | 33 | 2022 |
| Evaluating expressway traffic crash severity by using logistic regression and explainable & supervised machine learning classifiers JPSS Madushani, RMK Sandamal, DPP Meddage, HR Pasindu, ... Transportation Engineering 13, 100190, 2023 | 26 | 2023 |
| A simplified mathematical formulation for water quality index (WQI): A case study in the Kelani River Basin, Sri Lanka R Makubura, DPP Meddage, HM Azamathulla, M Pandey, U Rathnayake Fluids 7 (5), 147, 2022 | 26 | 2022 |
| A novel explainable AI-based approach to estimate the natural period of vibration of masonry infill reinforced concrete frame structures using different machine learning techniques P Thisovithan, H Aththanayake, DPP Meddage, IU Ekanayake, ... Results in Engineering 19, 101388, 2023 | 25 | 2023 |
| Predicting bulk average velocity with rigid vegetation in open channels using tree-based machine learning: a novel approach using explainable artificial intelligence DPP Meddage, IU Ekanayake, S Herath, R Gobirahavan, N Muttil, ... Sensors 22 (12), 4398, 2022 | 25 | 2022 |
| Modeling strength characteristics of basalt fiber reinforced concrete using multiple explainable machine learning with a graphical user interface W Kulasooriya, RSS Ranasinghe, US Perera, P Thisovithan, ... Scientific Reports 13 (1), 13138, 2023 | 24 | 2023 |
| Exploring the applicability of expanded polystyrene (EPS) based concrete panels as roof slab insulation in the tropics DPP Meddage, A Chadee, MTR Jayasinghe, U Rathnayake Case Studies in Construction Materials 17, e01361, 2022 | 24 | 2022 |
| Tree-based regression models for predicting external wind pressure of a building with an unconventional configuration DPP Meddage, IU Ekanayake, AU Weerasuriya, CS Lewangamage 2021 Moratuwa Engineering Research Conference (MERCon), 257-262, 2021 | 24 | 2021 |
| Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations IU Ekanayake, S Palitha, S Gamage, DPP Meddage, K Wijesooriya, ... Materials Today Communications 36, 106545, 2023 | 23 | 2023 |
| A novel machine learning approach for diagnosing diabetes with a self-explainable interface G Dharmarathne, TN Jayasinghe, M Bogahawaththa, DPP Meddage, ... Healthcare Analytics 5, 100301, 2024 | 17 | 2024 |
| Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques C Madhushani, K Dananjaya, IU Ekanayake, DPP Meddage, ... Journal of Hydrology 631, 130846, 2024 | 16 | 2024 |
| A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP), Case Stud … IU Ekanayake, DPP Meddage, U Rathnayake | 11 | |
| Predicting transient wind loads on tall buildings in three-dimensional spatial coordinates using machine learning DPP Meddage, D Mohotti, K Wijesooriya Journal of Building Engineering 85, 108725, 2024 | 9 | 2024 |
| A new frontier in streamflow modeling in ungauged basins with sparse data: A modified generative adversarial network with explainable AI U Perera, DTS Coralage, IU Ekanayake, J Alawatugoda, DPP Meddage Results in Engineering 21, 101920, 2024 | 9 | 2024 |
| Adapting cities to the surge: A comprehensive review of climate-induced urban flooding G Dharmarathne, AO Waduge, M Bogahawaththa, U Rathnayake, ... Results in Engineering, 102123, 2024 | 8 | 2024 |
| Influence of crumb rubber and coconut coir on strength and durability characteristics of interlocking paving blocks S Gamage, S Palitha, DPP Meddage, S Mendis, HM Azamathulla, ... Buildings 12 (7), 1001, 2022 | 8 | 2022 |
| Performances of Holiday Climate Index (HCI) for Urban and Beach Destinations in Sri Lanka under Changing Climate JT Samarasinghe, CP Wickramarachchi, RK Makumbura, P Meddage, ... Climate 11 (3), 48, 2023 | 7 | 2023 |
| On the deviation of mean pressure coefficients in wind loading standards for a low-rise, gable-roofed building with boundary walls DPP Meddage, CS Lewangamage, AU Weerasuriya Structures 36, 50-64, 2022 | 5 | 2022 |
Upaka RathnayakeProfessor, Atlantic Technological University, Sligo Ireland在 atu.ie 的电子邮件经过验证
