I.U. Ekanayake

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 · 428 citations · Full text

Chronic Kidney Disease Prediction Using Machine Learning Methods

I.U. Ekanayake, Damayanthi Herath · 2020 · 88 citations

Urology, Renal Disease, Machine Learning +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 · 86 citations · Full text

Engineering, Machine Learning, Explainable Machine Learning +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 · 67 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +28

Modeling strength characteristics of basalt fiber reinforced concrete using multiple explainable machine learning with a graphical user interface

W.K.V.J.B. Kulasooriya, R.S.S. Ranasinghe, Udara Sachinthana Perera et al. · Scientific Reports · 2023 · 55 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +23