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Engineering2022

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

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Citations:332
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Health & Medicine2020

Chronic kidney disease prediction using machine learning methods

IU Ekanayake, D Herath

2020 Moratuwa Engineering Research Conference (MERCon), 260–265

CIAIR Authors:

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Citations:99
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Engineering2022

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

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Citations:64
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Engineering2023

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

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Citations:58
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