6 天前 - … Researchers have developed explainable artificial intelligence (XAI) methods to
help understand these'black boxes'. While these models have been tested on many supervised …

6 天前 - … An explainable artificial intelligence (XAI) algorithm is subsequently applied to
interpret the DCNN's decision-making process about the BWV detection. The proposed approach…

6 天前 - … and explainable machine learning model to predict PSCI. The aim of this study
is to develop and validate a web-based artificial intelligence (AI) tool for predicting PSCI. …

6 天前 - … To explain the ML results, Explainable artificial intelligence (XAI) was employed
by using Shapley Additive Explanations (SHAP) to predict the global behavior of variables. RF …

6 天前 - … It delves into the potential of Artificial Intelligence (AI) in aiding compliance efforts
by … , and the need for transparency and explainability. The article concludes by emphasizing …

7 天前 - … on transfer learning and eXplainable Artificial Intelligence (XAI) … Additionally, we
showcase how explainable AI techniques … domain adaptability with explainable AI, showing …

7 天前 - … This narrative review explores current Machine Learning (ML) and Artificial Intelligence
… , high-performing, yet being explainable and producing counterfactual explanations, for …

7 天前 - … However, although the ability to interpret the results of the predictive model is
essential, most of the related studies do not propose explainable methods. To address this …

7 天前 - We propose a comprehensive profit-sensitive approach for credit risk modeling in
P2P lending for small businesses, one of the most financially complex segments. We go …

7 天前 - … Knowledge graph completion is an advanced artificial intelligence (AI) methodology
… attention in the field of explainable artificial intelligence. To harness the interpretability …