Upaka Rathnayake

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

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 · 131 citations · Full text

Artificial Neural Network to Estimate the Paddy Yield Prediction Using Climatic Data

Vinushi Amaratunga, Lasini Wickramasinghe, Anushka Perera et al. · Mathematical Problems in Engineering · 2020 · 92 citations · Full text

Precision Agriculture, Engineering, Machine Learning +16

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 · 79 citations · Full text

Machine Learning Techniques to Predict the Air Quality Using Meteorological Data in Two Urban Areas in Sri Lanka

Lakindu Mampitiya, Namal Rathnayake, Lee P. Leon et al. · Environments · 2023 · 70 citations · Full text

Environmental Monitoring, Engineering, Air Pollution Measurement +21