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Issue Date
Title
Author(s)
2022-04
A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP)
Ekanayake, I.U
;
Meddage, D. P. P
;
Rathnayake, U
2022-07
Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings
Meddage, D. P. P
;
Ekanayake, I
;
Weerasuriya, A
;
Lewangamage, C. S
;
Ramanayaka, C. D. E
;
Miyanawala, T
2022-04-23
A Simplified Mathematical Formulation for Water Quality Index (WQI): A Case Study in the Kelani River Basin, Sri Lanka
Meddage, D. P. P
;
Azamathulla, H
;
Pandey, M
;
Rathnayake, U
;
Makumbura, R. K
2022-06-10
Predicting Bulk Average Velocity with Rigid Vegetation in Open Channels Using Tree-Based Machine Learning: A Novel Approach Using Explainable Artificial Intelligence
Meddage, D. P. P
;
Ekanayake, I. U
;
Herath, S
;
Gobirahavan, R
;
Muttil, N
;
Rathnayake, U
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Author
3
Rathnayake, U
1
Azamathulla, H
1
Ekanayake, I
1
Ekanayake, I. U
1
Ekanayake, I.U
1
Gobirahavan, R
1
Herath, S
1
Lewangamage, C. S
1
Makumbura, R. K
1
Miyanawala, T
.
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Subject
2
Explainable machine learning
1
bulk average velocity
1
Compressive strength
1
explainable artificial intelligence
1
Kelani River
1
Laplacian kernel Ridge Regression
1
Low-rise building
1
Machine learning
1
rigid vegetation
1
SHAP
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Date issued
4
2022
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4
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