GitHub

XAI - An eXplainability toolbox for machine learning

XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contains various tools that enable for analysis and evaluation of data and models. The XAI library is ...
Frontiers

Evaluating XAI techniques under class imbalance using CPRD data

The need for eXplainable Artificial Intelligence (XAI) in healthcare is more critical than ever, especially as regulatory frameworks such as the European Union Artificial Intelligence (EU AI) Act ...
IEEE

Shape Penalized Decision Forests for Imbalanced Data Classification

Abstract: Class imbalance poses a critical challenge in binary classification problems, particularly when rare but significant events are underrepresented in the training set. While traditional ...
Scientific Research Publishing

Ensemble Machine Learning Models in Financial Distress Prediction: Evidence from China ()

1 Urban Governance and Design Society Hub, Hong Kong University of Science and Technology, Guangzhou, China. 2 School of Accounting and Finance, Faculty of Business, The Hong Kong Polytechnic ...