5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity
Ahmed M Salih
Explainable Artificial Intelligence (XAI) emerged to reveal the internal mechanism of machine learning models and how the features affect the prediction outcome. Collinearity is on…
cs.LG2024★ 1 cited
Are Linear Regression Models White Box and Interpretable?
Ahmed M Salih, Yuhe Wang
Explainable artificial intelligence (XAI) is a set of tools and algorithms that applied or embedded to machine learning models to understand and interpret the models. They are reco…
cs.AI2024★ 5 cited
Explainable Artificial Intelligence and Multicollinearity : A Mini Review of Current Approaches
Ahmed M Salih
Explainable Artificial Intelligence (XAI) methods help to understand the internal mechanism of machine learning models and how they reach a specific decision or made a specific act…