… Moreover, we also employ the newly developed Shapley additive explanation (SHAP)
approach to tackle the non-interpretability issues of the ML algorithm by interpreting the XGBoost …

… This pairwise correlation helps to determine each independent variable’s significance for
the total energy consumed by the electric vehicle used in this study. The pairwise correlation …

… vehicles such as electric vehicles, hydrogen fuel cell vehicles, and biofuels can also help
reduce reliance on fossil fuels. Adopting electric vehicles (… gasoline and diesel vehicles, major …

… factors for electric vehicles and electric vehicle charging stations … a synthetic dataset for
electric vehicle charging sessions is … several other factors of electric vehicle charging stations in …

… factors for electric vehicles and electric vehicle charging stations … a synthetic dataset for
electric vehicle charging sessions is … several other factors of electric vehicle charging stations in …

… Moreover, we demonstrate how Shapley additive explanation (SHAP) values can be
employed to build user friendly explanations. Together, the proposed model and its explainers …

… SHapley Additive exPlanations (SHAP) analysis of feature contribution. From this, a synthetic
population is produced using the ML outputs and marginal sums with data from the Census …

… weak learner prediction with additive training methods to generate a … Shapley additive
explanations (SHAP) … with local explanation by employing the Shapley value from game theory, …

… Prediction of electric vehicle charging duration time using ensemble machine learning
algorithm and Shapley additive explanations." International Journal of Energy Research 46.11 (…

… a Shapley Additive exPlanations (SHAP) approach to explaining individual predictions based
on 274 the game's theoretically optimal Shapley … theory to compute Shapley values. The …