5 citations · 6 across the 4 of their papers we have counts for
4 papers
Re-Visiting Explainable AI Evaluation Metrics to Identify The Most Informative Features
Ahmed M. Salih
Functionality or proxy-based approach is one of the used approaches to evaluate the quality of explainable artificial intelligence methods. It uses statistical methods, definitions…
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…
Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine
Ahmed M Salih
Data pre-processing is a significant step in machine learning to improve the performance of the model and decreases the running time. This might include dealing with missing values…
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…