D.P.P. Meddage

A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP)

I.U. Ekanayake, D.P.P. Meddage, Upaka Rathnayake · Case Studies in Construction Materials · 2022 · 464 citations · Full text

Computing, Computer Science, Materials Engineering +17

Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature

Randika K. Makumbura, Lakindu Mampitiya, Namal Rathnayake et al. · Results in Engineering · 2024 · 169 citations · Full text

Natural Resources, Environmental Engineering, Water Resources Management +15

Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings

D.P.P. Meddage, I.U. Ekanayake, A.U. Weerasuriya et al. · Journal of Wind Engineering and Industrial Aerodynamics · 2022 · 91 citations · Full text

Computing, Architectural Engineering, Building Science +15

A novel machine learning approach for diagnosing diabetes with a self-explainable interface

Gangani Dharmarathne, Thilini N. Jayasinghe, Madhusha Bogahawaththa et al. · Healthcare Analytics · 2024 · 89 citations · Full text

Computing, Biomedical Informatics, Health Informatics +17

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, Harinda Aththanayake, D.P.P. Meddage et al. · Results in Engineering · 2023 · 76 citations · Full text

Computing, Architectural Engineering, Computer Science +17